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Applica
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S
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y
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sc
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n
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e
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riv
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c
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k
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a
n
d
h
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m
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n
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m
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t
o
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h
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s
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tes
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a
n
d
c
o
n
tr
o
ll
e
d
fiel
d
e
x
p
e
rime
n
ts.
K
ey
w
o
r
d
s
:
C
R
M
tech
n
o
lo
g
ies
Dec
is
io
n
an
aly
tics
Ho
s
p
itality
Hu
m
an
-
AI
co
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b
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atio
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Ma
ch
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in
tellig
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s
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C
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ab
Ab
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Als
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r
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m
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d
Ho
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p
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Un
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s
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o
f
J
o
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d
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Aq
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a,
J
o
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d
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e.
s
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jo
1.
I
NT
RO
D
UCT
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N
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h
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h
o
s
p
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s
ec
to
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is
in
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s
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ly
s
h
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s
to
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s
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ten
s
e
co
m
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etitio
n
,
r
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tech
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o
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icien
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.
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tels
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estau
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d
to
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ely
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ality
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em
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a
n
d
s
u
p
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o
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t
s
tr
ateg
ic
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g
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W
ith
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th
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co
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tex
t,
m
ac
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tellig
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(
MI
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an
d
d
ec
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a
n
aly
tics
(
DA)
h
av
e
b
ec
o
m
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ess
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to
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f
o
r
im
p
r
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m
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m
p
etitiv
en
ess
in
th
e
h
o
s
p
i
tality
in
d
u
s
tr
y
[
1
]
.
I
n
th
is
s
tu
d
y
,
MI
r
ef
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s
to
co
m
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u
tatio
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th
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n
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tem
s
to
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ize
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tter
n
s
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n
d
s
u
p
p
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t
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t
o
m
ated
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s
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i
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t
o
m
ated
d
ec
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io
n
s
.
T
h
ese
ap
p
r
o
ac
h
es
in
clu
d
e
ar
tific
ial
in
tellig
en
ce
(
AI
)
,
m
ac
h
in
e
lear
n
in
g
(
ML
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,
d
ee
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lear
n
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at
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g
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y
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tem
s
,
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tellig
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t
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ts
,
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o
b
o
tics
,
co
m
p
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ter
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is
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n
,
a
u
g
m
en
te
d
r
ea
lity
,
an
d
v
ir
tu
al
r
ea
lity
[
1
]
.
DA
r
ef
e
r
s
to
th
e
u
s
e
o
f
d
escr
ip
tiv
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p
r
ed
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an
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p
r
escr
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m
et
h
o
d
s
to
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s
f
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r
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
9
3
8
A
p
p
lica
tio
n
s
o
f m
a
c
h
in
e
in
tell
ig
en
ce
a
n
d
d
ec
is
io
n
a
n
a
lytics
in
h
o
s
p
ita
lity:
a
s
ystema
tic
…
(
Oma
r
Ja
w
a
b
r
eh
)
2025
u
s
ef
u
l
m
an
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g
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ial
d
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s
.
I
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clu
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f
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tim
izatio
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im
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ased
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s
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ak
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[
2
]
,
[
3
]
.
Ho
s
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a
b
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d
d
y
n
am
ic
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g
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o
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er
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r
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to
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r
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s
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s
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[
4
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T
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ec
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tr
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ig
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ete
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f
e
r
s
,
r
eliab
le
in
f
o
r
m
atio
n
,
f
lex
i
b
le
b
o
o
k
in
g
o
p
tio
n
s
,
an
d
co
n
s
is
ten
t
v
alu
e.
T
h
er
ef
o
r
e,
h
o
s
p
itality
f
ir
m
s
m
u
s
t
co
n
tin
u
o
u
s
ly
im
p
r
o
v
e
h
o
w
th
ey
co
llect
in
f
o
r
m
atio
n
,
u
n
d
e
r
s
tan
d
cu
s
to
m
er
s
,
an
d
r
esp
o
n
d
to
m
ar
k
et
c
h
an
g
es
[
5
]
.
MI
an
d
DA
ca
n
s
u
p
p
o
r
t
s
ev
e
r
al
co
r
e
h
o
s
p
italiti
es
f
u
n
ctio
n
s
.
I
n
cu
s
to
m
er
r
elatio
n
s
h
ip
m
an
ag
em
en
t
(
C
R
M)
,
th
ey
h
elp
an
aly
ze
g
u
e
s
t
p
r
ef
er
en
ce
s
,
p
er
s
o
n
alize
o
f
f
er
s
,
p
r
ed
ict
s
atis
f
ac
tio
n
,
s
eg
m
en
t
cu
s
to
m
er
s
,
a
n
d
im
p
r
o
v
e
lo
y
alty
p
r
o
g
r
am
s
.
I
n
r
ev
en
u
e
m
an
ag
e
m
en
t
(
R
M)
,
t
h
ey
s
u
p
p
o
r
t d
em
an
d
f
o
r
ec
asti
n
g
,
d
y
n
am
ic
p
r
icin
g
,
r
o
o
m
allo
ca
tio
n
,
a
n
d
p
r
o
m
o
ti
o
n
al
d
ec
is
io
n
s
.
I
n
o
p
e
r
atio
n
s
,
th
ey
ass
is
t
wo
r
k
f
o
r
ce
s
ch
ed
u
lin
g
,
f
r
au
d
d
etec
tio
n
,
s
er
v
ice
au
to
m
atio
n
,
in
v
e
n
to
r
y
co
n
tr
o
l,
an
d
r
eso
u
r
ce
o
p
tim
i
za
tio
n
.
T
o
o
ls
s
u
ch
as
ch
atb
o
t
s
,
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
,
s
en
tim
en
t
an
aly
s
is
,
r
o
b
o
tic
s
er
v
ices,
an
d
p
r
ed
ictiv
e
d
ash
b
o
a
r
d
s
ar
e
in
c
r
ea
s
in
g
l
y
u
s
ed
to
im
p
r
o
v
e
cu
s
to
m
er
ex
p
er
ien
ce
a
n
d
m
a
n
ag
er
ial
ef
f
icie
n
cy
[
6
]
.
T
h
is
r
ev
iew
ex
a
m
in
es
MI
an
d
DA
ap
p
licatio
n
s
in
h
o
s
p
itality
f
r
o
m
2
0
0
8
–
2
0
2
5
,
f
o
cu
s
in
g
o
n
CRM
an
d
p
er
s
o
n
aliza
tio
n
,
RM
an
d
p
r
icin
g
,
an
d
o
p
e
r
atio
n
al
d
ec
is
io
n
-
m
ak
in
g
.
I
t
also
c
o
n
s
id
er
s
g
o
v
er
n
an
ce
,
p
r
iv
ac
y
,
eth
ics,
wo
r
k
f
o
r
ce
r
ea
d
in
ess
,
an
d
d
ata
q
u
ality
.
Ov
er
all,
th
e
s
tu
d
y
ar
g
u
es
th
at
MI
an
d
DA
s
h
o
u
ld
b
e
v
iewe
d
n
o
t
o
n
ly
as
tech
n
o
lo
g
ical
to
o
ls
b
u
t
as
p
ar
t
o
f
a
b
r
o
ad
e
r
d
ec
is
io
n
-
m
a
k
in
g
ec
o
s
y
s
tem
co
n
n
ec
tin
g
d
ata,
p
e
o
p
le
,
p
r
o
ce
s
s
es,
an
d
s
tr
ateg
y
.
2.
B
ACK
G
RO
UND
T
H
E
S
T
U
DY
T
o
d
ay
’
s
b
u
s
in
ess
en
v
ir
o
n
m
en
t
is
in
cr
ea
s
in
g
ly
s
h
ap
ed
b
y
d
ata,
r
ap
id
tech
n
o
lo
g
ical
in
n
o
v
atio
n
,
an
d
r
is
in
g
cu
s
to
m
er
ex
p
ec
tatio
n
s
.
W
ith
in
th
is
co
n
tex
t,
th
e
h
o
s
p
itality
s
ec
to
r
h
as b
ec
o
m
e
d
ee
p
ly
in
v
o
lv
ed
in
d
ig
ital
tr
an
s
f
o
r
m
atio
n
,
u
s
in
g
ad
v
an
ce
d
tech
n
o
lo
g
ies
to
im
p
r
o
v
e
o
p
er
atio
n
al
ef
f
icien
c
y
,
en
h
an
ce
cu
s
to
m
e
r
en
g
ag
em
e
n
t,
an
d
s
u
p
p
o
r
t
s
tr
a
teg
ic
d
ec
is
io
n
-
m
ak
in
g
[
7
]
.
On
e
o
f
th
e
m
o
s
t
im
p
o
r
tan
t
d
e
v
elo
p
m
en
ts
in
th
is
tr
an
s
f
o
r
m
atio
n
is
MI
,
wh
ich
e
n
ab
les
o
r
g
an
izatio
n
s
to
u
s
e
d
a
ta
an
d
co
m
p
u
tatio
n
al
to
o
ls
to
g
en
er
ate
cu
s
to
m
er
in
s
ig
h
ts
an
d
id
en
tif
y
p
r
ac
tica
l
b
u
s
in
ess
im
p
r
o
v
em
e
n
ts
.
Alo
n
g
s
id
e
MI
,
DA
is
in
cr
ea
s
in
g
ly
b
ein
g
ap
p
lied
ac
r
o
s
s
k
ey
h
o
s
p
itality
f
u
n
ctio
n
s
,
p
ar
ticu
lar
l
y
C
R
M,
p
er
s
o
n
alize
d
m
ar
k
etin
g
,
a
n
d
R
M
[
8
]
.
C
R
M
r
ep
r
esen
ts
o
n
e
o
f
t
h
e
m
o
s
t
s
ig
n
if
ican
t
ar
ea
s
in
wh
ich
MI
an
d
DA
ca
n
cr
ea
te
v
alu
e
f
o
r
h
o
s
p
itality
o
r
g
an
izatio
n
s
.
Ma
n
y
h
o
tels
an
d
to
u
r
is
m
-
r
elate
d
b
u
s
in
ess
e
s
alr
ea
d
y
u
s
e
C
R
M
s
y
s
tem
s
to
co
llect,
o
r
g
an
ize,
an
d
m
an
ag
e
c
u
s
to
m
e
r
d
ata
th
r
o
u
g
h
o
u
t
th
e
cu
s
to
m
er
l
if
e
cy
cle.
Ho
wev
er
,
wh
e
n
C
R
M
is
s
u
p
p
o
r
ted
b
y
ad
v
a
n
ce
d
a
n
aly
tics
,
h
o
s
p
itality
f
ir
m
s
ca
n
m
o
v
e
b
ey
o
n
d
b
r
o
ad
an
d
g
en
e
r
ic
ca
m
p
ai
g
n
s
t
o
war
d
m
o
r
e
ac
c
u
r
ate
s
eg
m
e
n
tatio
n
an
d
tar
g
ete
d
co
m
m
u
n
icatio
n
.
R
ath
er
th
an
u
s
in
g
a
o
n
e
-
s
ize
-
f
its
-
all
m
ar
k
etin
g
a
p
p
r
o
ac
h
,
f
ir
m
s
ca
n
an
aly
ze
cu
s
to
m
e
r
b
eh
av
io
r
,
p
r
ef
er
en
ce
s
,
p
u
r
ch
a
s
e
h
is
to
r
y
,
b
o
o
k
i
n
g
p
atter
n
s
,
a
n
d
f
ee
d
b
ac
k
to
d
esig
n
m
o
r
e
r
e
lev
an
t
s
er
v
ices
an
d
m
ess
ag
es.
T
h
is
en
ab
les
o
r
g
an
izatio
n
s
to
u
n
d
er
s
tan
d
cu
s
to
m
er
s
m
o
r
e
d
ee
p
ly
an
d
b
u
ild
s
tr
o
n
g
er
r
elatio
n
s
h
i
p
s
th
r
o
u
g
h
d
ata
-
d
r
iv
en
p
er
s
o
n
al
izatio
n
[
9
]
.
Per
s
o
n
alize
d
m
a
r
k
etin
g
is
an
o
t
h
er
m
ajo
r
ap
p
licatio
n
o
f
MI
in
h
o
s
p
itality
.
W
ith
o
u
t in
tellig
en
t a
n
aly
tics
,
cu
s
to
m
er
s
o
f
ten
r
e
ce
iv
e
s
tan
d
ar
d
ized
o
f
f
er
s
th
at
m
ay
n
o
t c
o
r
r
esp
o
n
d
to
th
eir
ac
tu
al
n
ee
d
s
o
r
tr
av
el
p
r
ef
er
e
n
ce
s
.
MI
-
s
u
p
p
o
r
te
d
to
o
ls
ca
n
class
if
y
cu
s
to
m
er
s
in
t
o
r
ef
in
e
d
s
eg
m
en
ts
an
d
id
en
tify
s
u
b
tle
d
if
f
er
en
ce
s
in
th
eir
b
eh
av
io
r
.
T
ec
h
n
iq
u
e
s
s
u
ch
as
m
ar
k
et
-
b
ask
et
an
aly
s
is
ca
n
r
ec
o
m
m
en
d
r
elev
an
t
p
r
o
d
u
cts
an
d
s
er
v
ices,
in
clu
d
in
g
h
o
tels
,
f
lig
h
ts
,
r
e
s
tau
r
an
ts
,
an
d
tr
av
el
p
ac
k
ag
es
,
b
ased
o
n
p
r
ev
io
u
s
b
eh
av
io
r
an
d
ex
p
ec
ted
p
r
ef
er
en
ce
s
.
Su
ch
p
er
s
o
n
aliza
tio
n
ca
n
en
h
a
n
ce
cu
s
to
m
er
s
atis
f
ac
tio
n
,
in
cr
ea
s
e
en
g
ag
em
e
n
t,
an
d
s
tr
en
g
th
e
n
b
r
an
d
l
o
y
alty
.
Sin
ce
cu
s
to
m
e
r
ex
p
er
ie
n
ce
is
a
ce
n
tr
al
s
o
u
r
ce
o
f
c
o
m
p
etitiv
e
ad
v
an
tag
e
in
h
o
s
p
itality
,
p
er
s
o
n
alize
d
m
ar
k
etin
g
h
elp
s
f
ir
m
s
p
r
o
v
id
e
o
f
f
er
s
th
at
ar
e
m
o
r
e
tim
ely
,
r
elev
an
t,
an
d
p
er
s
u
asiv
e
[
9
]
.
RM
h
as
also
b
ee
n
s
u
b
s
tan
tial
ly
af
f
ec
ted
b
y
MI
an
d
DA.
Sin
ce
th
e
1
9
9
0
s
,
h
o
s
p
itality
f
ir
m
s
h
av
e
in
cr
ea
s
in
g
ly
ad
o
p
te
d
au
to
m
at
ed
R
M
s
y
s
tem
s
th
at
co
m
b
in
e
d
ata
m
an
ag
em
en
t
an
d
p
r
ed
ictiv
e
an
aly
tics
to
f
o
r
ec
ast
d
em
an
d
a
n
d
o
p
tim
ize
p
r
icin
g
[
1
0
]
.
Pre
d
ictiv
e
a
n
aly
tics
h
elp
s
o
r
g
an
izatio
n
s
u
n
d
er
s
tan
d
cu
s
to
m
er
b
eh
av
io
r
,
an
ticip
ate
b
o
o
k
in
g
p
atter
n
s
,
an
d
d
eter
m
in
e
h
o
w
to
s
ell
lim
ited
r
eso
u
r
ce
s
s
u
ch
as
r
o
o
m
s
,
r
estau
r
a
n
t
ca
p
ac
ity
,
an
d
tr
a
v
el
s
er
v
ices
ac
r
o
s
s
m
u
ltip
le
d
is
tr
ib
u
tio
n
c
h
an
n
els.
T
h
r
o
u
g
h
d
y
n
am
ic
p
r
icin
g
an
d
d
e
m
an
d
f
o
r
ec
asti
n
g
,
f
ir
m
s
ca
n
ad
j
u
s
t
p
r
ices
ac
co
r
d
in
g
to
m
ar
k
et
co
n
d
itio
n
s
,
cu
s
to
m
er
d
em
a
n
d
,
c
o
m
p
etito
r
b
e
h
av
io
r
,
an
d
s
ea
s
o
n
al
f
lu
ctu
atio
n
s
.
T
h
ese
an
aly
tics
-
b
ased
d
ec
is
io
n
s
im
p
r
o
v
e
r
ev
en
u
e
p
er
f
o
r
m
a
n
ce
an
d
s
u
p
p
o
r
t
m
o
r
e
ef
f
icien
t
u
s
e
o
f
f
ix
ed
r
eso
u
r
ce
s
[
1
0
]
.
T
h
e
in
teg
r
atio
n
o
f
MI
an
d
DA
in
to
o
p
er
atio
n
al
p
r
ac
t
ices
an
d
d
ec
is
io
n
-
s
u
p
p
o
r
t
s
y
s
tem
s
h
as
g
en
er
ate
d
im
p
o
r
tan
t
b
e
n
ef
its
f
o
r
h
o
s
p
itality
s
tak
eh
o
ld
er
s
.
MI
ca
n
s
u
p
p
o
r
t
p
r
o
f
ess
io
n
al,
ad
m
in
is
tr
ativ
e,
an
d
s
tr
u
ctu
r
al
p
r
o
ce
s
s
es
b
y
en
ab
lin
g
f
aster
a
n
d
d
ee
p
er
an
aly
s
is
,
im
p
r
o
v
i
n
g
p
o
licy
k
n
o
wled
g
e,
r
ed
u
cin
g
d
u
p
licatio
n
,
s
av
in
g
r
eso
u
r
ce
s
,
a
n
d
ac
ce
ler
atin
g
th
e
ap
p
licatio
n
o
f
f
in
d
in
g
s
in
p
r
ac
tice
[
1
1
]
.
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2026
T
h
ese
ad
v
a
n
tag
es
ar
e
esp
ec
ially
r
elev
a
n
t
in
a
s
ec
to
r
ch
ar
ac
t
er
ized
b
y
in
te
n
s
e
co
m
p
etitio
n
,
u
n
s
tab
le
d
em
an
d
,
an
d
h
ig
h
cu
s
to
m
er
ex
p
ec
tatio
n
s
.
Nev
er
th
eless
,
MI
an
d
DA
c
an
n
o
t
in
d
ep
en
d
en
tly
g
u
ar
an
t
ee
im
p
r
o
v
ed
p
e
r
f
o
r
m
an
ce
.
T
h
eir
v
alu
e
d
ep
en
d
s
o
n
th
ei
r
in
teg
r
atio
n
with
h
u
m
an
in
tellig
en
ce
,
m
an
ag
er
ial
ju
d
g
m
e
n
t,
an
d
b
u
s
in
ess
in
s
ig
h
t.
Stra
teg
ic
tr
an
s
f
o
r
m
atio
n
t
h
er
ef
o
r
e
r
eq
u
i
r
es
n
o
t
o
n
ly
t
h
e
r
ed
esig
n
o
f
m
a
r
k
etin
g
s
tr
ateg
ies
b
u
t
also
th
e
r
ec
o
n
f
ig
u
r
atio
n
o
f
wo
r
k
p
r
o
ce
s
s
es
an
d
o
r
g
an
izatio
n
al
ca
p
ab
ilit
ies
[
1
2
]
.
Firm
s
th
at
s
u
cc
es
s
f
u
lly
in
teg
r
ate
MI
in
to
th
eir
s
tr
ateg
ies
m
ay
d
e
v
elo
p
a
co
m
p
etitiv
e
ad
v
an
ta
g
e,
wh
er
ea
s
th
o
s
e
th
at
f
ail
t
o
d
o
s
o
m
ay
f
ac
e
in
cr
ea
s
in
g
d
is
ad
v
an
tag
es
[
1
3
]
.
T
h
e
r
elatio
n
s
h
ip
b
etwe
en
h
o
s
p
itality
f
ir
m
s
an
d
th
eir
g
u
ests
r
em
ain
s
ce
n
tr
al
to
s
er
v
ice
s
u
cc
ess
.
Ho
tels
,
cr
u
is
e
co
m
p
an
ies,
r
estau
r
a
n
ts
,
air
lin
es,
an
d
o
th
e
r
s
er
v
ice
p
r
o
v
id
e
r
s
d
ep
en
d
o
n
r
e
p
ea
t
v
is
its
,
cu
s
to
m
er
lo
y
alty
,
a
n
d
p
o
s
itiv
e
ex
p
er
ie
n
ce
s
.
T
h
e
e
m
er
g
en
ce
o
f
th
e
in
d
u
s
tr
ial
in
ter
n
et
o
f
t
h
in
g
s
(
I
I
o
T
)
an
d
d
ata
an
aly
tics
h
as
ch
an
g
e
d
h
o
w
h
o
s
p
itality
o
r
g
a
n
izatio
n
s
in
ter
ac
t
with
p
o
ten
tial
an
d
ex
is
tin
g
cu
s
to
m
er
s
.
L
ar
g
e
am
o
u
n
ts
o
f
d
ata
ar
e
g
en
er
ated
wh
en
cu
s
to
m
er
s
v
is
it
web
s
ites
,
co
m
p
ar
e
p
r
ices,
s
ea
r
ch
f
o
r
am
en
ities
,
r
ea
d
r
ev
iews,
m
ak
e
b
o
o
k
in
g
s
,
ca
n
ce
l
r
eser
v
atio
n
s
,
o
r
p
r
o
v
i
d
e
f
ee
d
b
ac
k
.
T
h
ese
d
ata
p
o
in
t
s
r
ev
ea
l
b
eh
av
io
r
al
p
atter
n
s
th
at
h
o
tels
an
d
tr
av
el
co
m
p
an
ies
ca
n
u
s
e
to
tailo
r
s
er
v
ices
to
in
d
iv
id
u
al
g
u
ests
.
I
n
h
o
tel
o
p
er
atio
n
s
,
C
R
M
in
v
o
lv
es
co
llectin
g
an
d
in
ter
p
r
etin
g
cu
s
to
m
er
d
ata
t
o
m
an
ag
e
b
u
s
in
ess
r
elatio
n
s
h
ip
s
,
estab
lis
h
r
ef
er
r
al
n
etwo
r
k
s
,
an
d
r
etain
p
r
o
f
itab
le
cu
s
to
m
er
s
.
T
h
r
ee
C
R
M
elem
en
ts
ar
e
p
ar
ticu
lar
ly
r
ele
v
an
t
to
h
o
s
p
itality
:
ac
q
u
is
itio
n
,
cu
ltiv
at
io
n
,
an
d
r
ein
f
o
r
ce
m
e
n
t
[
1
4
]
.
Acq
u
is
itio
n
r
ef
er
s
to
co
llectin
g
d
ata
f
r
o
m
d
if
f
er
e
n
t
s
o
u
r
ce
s
,
in
clu
d
i
n
g
ch
ec
k
-
in
r
ec
o
r
d
s
,
co
n
tact
d
etails,
p
ass
p
o
r
t
in
f
o
r
m
atio
n
,
b
o
o
k
in
g
p
latf
o
r
m
s
,
an
d
d
ig
ital
in
ter
ac
tio
n
s
.
C
u
ltiv
atio
n
in
v
o
lv
es
an
aly
zin
g
ac
c
u
m
u
lated
d
ata
t
o
u
n
d
er
s
tan
d
c
u
s
to
m
er
p
u
r
c
h
asin
g
p
atter
n
s
an
d
s
er
v
ice
p
r
e
f
er
en
ce
s
o
v
e
r
tim
e.
R
ein
f
o
r
ce
m
en
t
r
e
f
er
s
to
g
ath
er
in
g
f
ee
d
b
ac
k
a
n
d
u
s
in
g
it
to
i
m
p
r
o
v
e
o
r
m
o
d
if
y
s
er
v
ices.
T
h
r
o
u
g
h
th
ese
s
tag
es,
C
R
M
b
ec
o
m
es
m
o
r
e
th
an
a
d
atab
ase;
it
b
ec
o
m
es
a
s
tr
a
teg
ic
s
y
s
tem
f
o
r
u
n
d
e
r
s
tan
d
in
g
c
u
s
to
m
er
s
an
d
im
p
r
o
v
in
g
s
er
v
ice
r
elatio
n
s
h
i
p
s
[
1
4
]
.
B
ib
lio
m
etr
ic
ev
id
en
c
e
also
in
d
icate
s
g
r
o
win
g
s
ch
o
lar
ly
in
ter
est
in
MI
an
d
AI
ap
p
licatio
n
s
in
to
u
r
is
m
an
d
h
o
s
p
itality
.
B
ased
o
n
Sco
p
u
s
-
ex
p
o
r
ted
r
ec
o
r
d
s
r
elate
d
t
o
MI
in
h
o
s
p
itality
an
d
to
u
r
is
m
,
m
u
ch
o
f
t
h
e
r
esear
ch
ap
p
ea
r
s
in
co
m
p
u
ter
s
cien
ce
an
d
tech
n
o
lo
g
y
-
o
r
i
en
ted
jo
u
r
n
als
an
d
co
n
f
er
e
n
ce
p
r
o
ce
ed
i
n
g
s
[
1
5
]
.
T
h
is
p
atter
n
s
u
g
g
ests
th
at
AI
-
r
elate
d
h
o
s
p
itality
r
esear
ch
is
in
cr
ea
s
in
g
ly
s
h
a
p
ed
b
y
th
e
in
ter
s
ec
tio
n
o
f
to
u
r
is
m
s
tu
d
ies,
in
f
o
r
m
atio
n
s
y
s
tem
s
,
co
m
p
u
ter
s
cien
ce
,
an
d
d
ata
an
aly
tics
.
I
n
th
e
h
o
s
p
itality
s
ec
to
r
,
MI
ad
o
p
tio
n
in
R
M
h
as b
ee
n
p
ar
ticu
lar
ly
im
p
o
r
tan
t,
alth
o
u
g
h
its
ap
p
lica
tio
n
h
as so
m
etim
es
r
em
ain
ed
lim
ited
to
s
y
s
tem
d
esig
n
an
d
d
e
v
elo
p
m
e
n
t.
R
ev
en
u
e
m
an
a
g
er
s
u
s
e
p
r
ed
ictiv
e
an
aly
tics
to
f
o
r
ec
ast
d
em
an
d
,
id
e
n
tify
cu
s
to
m
er
s
e
g
m
en
ts
,
an
aly
ze
b
o
o
k
in
g
p
atte
r
n
s
,
an
d
m
o
n
ito
r
m
ar
k
et
tr
en
d
s
[
1
6
]
.
R
M
s
y
s
tem
s
,
in
clu
d
in
g
d
y
n
am
ic
p
r
icin
g
s
y
s
tem
s
,
ar
e
o
f
ten
in
teg
r
ated
in
to
p
r
o
p
er
t
y
m
an
ag
em
e
n
t sy
s
tem
s
to
o
p
tim
ize
p
r
ices
f
o
r
r
o
o
m
s
,
s
p
a
s
er
v
ices,
d
in
in
g
,
an
d
o
th
er
h
o
tel
ex
p
er
ien
ce
s
.
R
ev
en
u
e
m
an
ag
er
s
m
ay
co
m
b
in
e
cu
s
to
m
er
p
u
r
ch
asin
g
b
e
h
av
io
r
,
d
em
an
d
p
atter
n
s
,
an
d
co
m
p
etito
r
o
f
f
er
in
g
s
to
d
ev
elo
p
p
r
icin
g
s
tr
ateg
ies
th
at
in
cr
ea
s
e
y
ield
an
d
m
ax
im
ize
t
o
tal
r
ev
e
n
u
e.
I
n
th
is
way
,
d
ata
an
al
y
tics
en
ab
les
a
m
o
r
e
co
m
p
r
eh
e
n
s
iv
e
p
r
icin
g
ap
p
r
o
ac
h
th
at
lin
k
s
r
ev
en
u
e
o
b
jectiv
es
with
cu
s
to
m
er
-
ce
n
ter
e
d
ex
p
e
r
ien
ce
s
[
1
7
]
.
T
h
e
d
ev
elo
p
m
en
t
o
f
ce
n
tr
al
r
e
s
er
v
atio
n
s
y
s
tem
s
,
web
s
ite
b
o
o
k
in
g
e
n
g
in
es,
an
d
d
is
tr
ib
u
ted
p
latf
o
r
m
s
h
as
in
cr
ea
s
ed
th
e
p
o
ten
tial
f
o
r
r
ea
l
-
tim
e
an
aly
s
is
an
d
p
r
ice
ad
ju
s
tm
en
t
[
1
8
]
.
T
h
ese
s
y
s
te
m
s
allo
w
h
o
tels
to
o
b
s
er
v
e
d
em
a
n
d
p
atter
n
s
q
u
ic
k
ly
an
d
a
d
ju
s
t
p
r
ices
ac
r
o
s
s
d
if
f
er
en
t
ch
a
n
n
els.
R
M
s
y
s
te
m
s
m
ay
u
s
e
m
ar
k
et
tr
en
d
s
,
en
ter
p
r
is
e
r
eso
u
r
ce
p
l
an
n
in
g
d
ata,
p
r
e
d
ictiv
e
an
aly
t
ics,
r
ea
ctiv
e
an
aly
tics
,
an
d
p
r
icin
g
o
p
tim
izer
s
to
m
an
ag
e
s
ellin
g
p
r
ices
an
d
s
ales
co
s
ts
.
T
h
ey
m
ay
also
s
to
r
e
d
em
an
d
d
ata
b
ased
o
n
cu
s
to
m
er
r
esp
o
n
s
es
to
ea
r
lier
p
r
icin
g
d
ec
is
io
n
s
,
in
cl
u
d
in
g
p
er
io
d
s
wh
en
c
o
m
p
etit
o
r
s
p
er
f
o
r
m
ed
b
etter
o
r
wo
r
s
e.
T
h
is
in
f
o
r
m
atio
n
s
u
p
p
o
r
ts
p
lan
n
in
g
an
d
h
elp
s
f
ir
m
s
b
alan
ce
co
m
p
etitiv
e
p
r
icin
g
with
cu
s
to
m
er
p
r
ice
p
e
r
ce
p
tio
n
.
Dy
n
a
m
ic
p
r
icin
g
is
p
a
r
ticu
lar
ly
v
alu
ab
l
e
in
m
ar
k
ets
wh
er
e
d
ata
r
em
a
in
v
alid
f
o
r
o
n
ly
s
h
o
r
t
p
e
r
io
d
s
.
B
ec
au
s
e
d
em
an
d
co
n
d
itio
n
s
ch
an
g
e
co
n
tin
u
o
u
s
ly
,
p
r
icin
g
d
ec
is
io
n
s
m
u
s
t
b
e
u
p
d
ated
u
s
in
g
r
ea
l
-
tim
e
in
f
o
r
m
atio
n
.
E
f
f
ec
tiv
e
R
M
s
y
s
tem
s
th
er
ef
o
r
e
r
eq
u
i
r
e
lar
g
e
-
s
ca
le
p
r
ice
m
an
ag
em
e
n
t,
r
ap
id
p
r
ice
d
eliv
e
r
y
,
r
eliab
l
e
d
ata
q
u
ality
,
an
d
in
teg
r
atio
n
ac
r
o
s
s
d
is
tr
ib
u
tio
n
ch
a
n
n
els.
Ho
wev
e
r
,
tec
h
n
o
lo
g
y
d
o
es
n
o
t
a
u
to
m
atica
lly
cr
ea
te
co
m
p
etitiv
e
ad
v
an
tag
e.
I
ts
ef
f
ec
tiv
e
n
ess
d
ep
en
d
s
o
n
wh
et
h
er
m
an
a
g
e
r
s
u
n
d
er
s
tan
d
its
lim
itatio
n
s
an
d
in
co
r
p
o
r
ate
it
ap
p
r
o
p
r
iately
in
to
d
ec
is
io
n
-
m
ak
in
g
.
W
h
en
p
r
o
p
er
ly
im
p
lem
en
ted
,
R
M
s
y
s
tem
s
h
elp
h
o
s
p
itality
f
ir
m
s
co
o
r
d
in
ate
p
r
ice
ad
j
u
s
tm
en
ts
ac
r
o
s
s
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u
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elate
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y
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.
T
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No
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Scien
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esear
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ee
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ip
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ar
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ig
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ig
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lytics
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Oma
r
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2027
Fig
u
r
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1
.
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tio
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f
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I
p
u
b
licatio
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s
in
to
u
r
is
m
/h
o
s
p
i
tality
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y
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u
tlet (
2
0
0
8
–
2
0
2
5
)
3.
M
E
T
H
O
D
3
.
1
.
Da
t
a
priv
a
c
y
a
nd
s
ec
urit
y
co
ncer
ns
T
h
e
p
r
o
v
is
io
n
o
f
MI
-
b
ased
s
er
v
ices
an
d
p
r
o
d
u
cts
in
h
o
s
p
itality
n
ec
ess
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tates
th
e
co
llectio
n
o
f
s
u
b
s
tan
tial
am
o
u
n
ts
o
f
c
u
s
to
m
er
d
ata.
On
o
n
e
h
an
d
,
th
e
s
ec
to
r
is
alr
ea
d
y
q
u
ite
h
ea
v
ily
r
eg
u
lated
with
r
esp
ec
t
to
th
e
p
r
o
tectio
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o
f
cu
s
to
m
er
d
ata,
esp
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ially
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co
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h
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U.
S.
an
d
E
u
r
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e,
wh
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ata
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ig
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ictate
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tr
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e
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ad
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ter
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ati
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m
p
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ically
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eq
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ate.
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ig
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ater
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en
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al
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ata
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latio
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GDPR
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as
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ee
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in
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o
d
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ce
d
in
th
e
E
u
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Un
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d
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ap
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licab
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ex
tr
ater
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ito
r
ially
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i.e
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,
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ld
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ally
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u
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n
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e
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tly
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ized
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ce
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s
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s
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tifia
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le
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atio
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i
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t
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e
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b
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en
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er
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ata,
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m
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ed
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o
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m
er
s
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e
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ally
lo
w
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tech
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ical
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ea
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th
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u
s
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er
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o
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iew
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ata
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ch
ar
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ter
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o
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o
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r
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ch
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s
er
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n
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en
t,
as
leg
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e
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i
s
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tial
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o
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t
v
is
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s
e
o
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s
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er
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d
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er
s
o
n
n
e
l
d
ata
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th
e
s
u
p
p
ly
o
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tech
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o
l
o
g
y
-
b
ased
s
er
v
ices
an
d
p
r
o
d
u
cts
[
1
9
]
.
T
h
e
lar
g
est
p
r
er
eq
u
is
ite
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u
tili
zin
g
th
e
in
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ig
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ts
p
r
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ed
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y
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h
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ab
ilit
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u
m
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ca
p
ital
to
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d
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tech
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u
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it
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e
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im
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v
e
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d
u
cts
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d
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er
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ices
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n
o
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f
er
.
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h
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ea
n
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th
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p
itality
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ay
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ee
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ce
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r
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o
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taf
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ak
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ate
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ar
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k
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ltu
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e
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at
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o
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tes
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ap
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r
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r
iate
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r
atio
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ad
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ce
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al
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tech
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ay
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ad
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tech
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ies
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s
e
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ey
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o
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ee
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m
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at
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b
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ity
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w
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tech
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o
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ie
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ev
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.
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h
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ef
o
r
e
,
it
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o
r
tan
t
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o
r
p
r
o
f
ess
io
n
als
in
th
e
h
o
s
p
itality
in
d
u
s
tr
y
to
u
n
d
er
s
tan
d
an
d
r
eso
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s
u
es su
r
r
o
u
n
d
in
g
w
o
r
k
er
attitu
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es to
tech
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o
l
o
g
ical
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ev
elo
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m
en
t.
Staf
f
tr
ain
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g
a
n
d
d
ev
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p
m
en
t
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ef
er
to
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tr
ateg
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en
tailin
g
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o
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tin
u
o
u
s
tr
ain
in
g
an
d
s
u
p
p
o
r
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f
o
r
s
taf
f
m
em
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er
s
to
m
o
ld
th
eir
s
k
ills
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k
n
o
wled
g
e,
an
d
attitu
d
es
wh
er
e
tech
n
o
lo
g
y
is
co
n
ce
r
n
ed
.
Staf
f
tr
ain
in
g
ten
d
s
to
lead
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th
e
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est
o
r
g
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izatio
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al
r
esu
lts
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en
tr
ai
n
in
g
s
tr
ateg
ies
f
o
cu
s
o
n
g
en
er
ati
n
g
s
taf
f
'
p
r
o
ac
tiv
e
d
is
p
o
s
itio
n
s
'
to
tech
n
o
lo
g
y
s
u
ch
as
in
ter
est,
en
jo
y
m
e
n
t,
an
d
a
willin
g
n
ess
to
lear
n
as
o
p
p
o
s
ed
to
m
er
ely
h
o
w
to
u
s
e
a
p
iece
o
f
tech
n
o
lo
g
y
.
T
h
is
is
im
p
o
r
tan
t
as,
in
t
h
e
ab
s
en
ce
o
f
th
is
,
s
taf
f
will
s
tr
u
g
g
le
to
u
tili
ze
th
e
tech
n
o
lo
g
y
e
f
f
icien
tly
a
n
d
f
in
d
in
n
o
v
ativ
e
way
s
to
m
ak
e
th
e
tech
n
o
l
o
g
y
wo
r
k
f
o
r
th
eir
r
o
le.
L
ea
d
er
s
h
ip
p
lay
s
an
im
p
o
r
tan
t
r
o
le
in
en
h
an
cin
g
th
e
attitu
d
es
o
f
s
taf
f
m
em
b
er
s
to
war
d
s
tech
ap
p
licatio
n
.
T
r
ain
in
g
,
h
o
wev
er
,
will
aid
in
r
en
ewin
g
th
e
attit
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d
es
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war
d
s
lead
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s
h
i
p
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y
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o
r
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ay
in
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h
o
w
tech
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o
l
o
g
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in
f
lu
en
ce
s
o
u
tco
m
es.
E
f
f
o
r
ts
to
en
h
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ce
tech
n
o
l
o
g
y
p
r
o
f
icien
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in
h
o
s
p
itality
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ettin
g
s
h
av
e
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ee
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p
r
o
v
en
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ce
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h
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s
r
ep
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tatio
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p
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o
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a
n
d
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tels
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at
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av
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a
b
etter
d
i
g
ital
s
k
ill
m
ix
h
av
e
a
p
r
icin
g
s
tr
ateg
y
th
at
lead
s
to
b
etter
p
r
o
f
its
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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ase
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5
.
T
h
e
ex
ac
t strin
g
s
u
s
ed
ar
e
p
r
o
v
i
d
e
d
in
T
ab
le
1
.
T
ab
le
1
.
E
x
ac
t d
atab
ase
s
ea
r
c
h
s
tr
in
g
s
(
ex
ec
u
te
d
1
6
Feb
r
u
ar
y
2
0
2
6
)
D
a
t
a
b
a
s
e
S
e
a
r
c
h
st
r
i
n
g
(
a
s e
x
e
c
u
t
e
d
)
F
i
l
t
e
r
s/
f
i
e
l
d
s
S
c
o
p
u
s
TI
TLE
-
A
B
S
-
K
EY
(
(
"
mac
h
i
n
e
i
n
t
e
l
l
i
g
e
n
c
e
"
O
R
"
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
"
O
R
"
mac
h
i
n
e
l
e
a
r
n
i
n
g
"
O
R
"
d
e
e
p
l
e
a
r
n
i
n
g
"
O
R
"
n
e
u
r
a
l
n
e
t
w
o
r
k
*
"
O
R
"
d
a
t
a
mi
n
i
n
g
"
O
R
"
p
r
e
d
i
c
t
i
v
e
a
n
a
l
y
t
i
c
s"
)
A
N
D
(
h
o
s
p
i
t
a
l
i
t
y
O
R
h
o
t
e
l
*
O
R
t
o
u
r
i
sm
O
R
t
r
a
v
e
l
O
R
r
e
st
a
u
r
a
n
t
*
O
R
"
f
o
o
d
a
n
d
b
e
v
e
r
a
g
e
"
O
R
a
i
r
l
i
n
e
*
O
R
c
r
u
i
s
e
*
O
R
"
g
u
e
st
e
x
p
e
r
i
e
n
c
e
"
)
A
N
D
(
C
R
M
O
R
"
c
u
s
t
o
m
e
r
r
e
l
a
t
i
o
n
s
h
i
p
m
a
n
a
g
e
me
n
t
"
O
R
p
e
r
s
o
n
a
l
i
z
*
O
R
r
e
c
o
mm
e
n
d
*
O
R
"
se
n
t
i
me
n
t
a
n
a
l
y
s
i
s"
O
R
f
o
r
e
c
a
s
t
*
O
R
"
d
e
m
a
n
d
f
o
r
e
c
a
st
i
n
g
"
O
R
"
r
e
v
e
n
u
e
ma
n
a
g
e
m
e
n
t
"
O
R
p
r
i
c
i
n
g
O
R
"
d
y
n
a
mi
c
p
r
i
c
i
n
g
"
O
R
o
p
t
i
m
i
z
a
t
i
o
n
O
R
s
c
h
e
d
u
l
*
O
R
"
d
e
c
i
si
o
n
su
p
p
o
r
t
"
O
R
"
d
e
c
i
s
i
o
n
a
n
a
l
y
t
i
c
s"
)
)
P
U
B
Y
EA
R
2
0
0
8
–
2
0
2
5
;
En
g
l
i
sh
;
d
o
c
u
m
e
n
t
t
y
p
e
s
:
a
r
t
i
c
l
e
,
c
o
n
f
e
r
e
n
c
e
p
a
p
e
r
,
b
o
o
k
c
h
a
p
t
e
r
W
e
b
o
f
S
c
i
e
n
c
e
C
o
r
e
C
o
l
l
e
c
t
i
o
n
TS=(
(
"
mac
h
i
n
e
i
n
t
e
l
l
i
g
e
n
c
e
"
O
R
"
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
"
O
R
"
m
a
c
h
i
n
e
l
e
a
r
n
i
n
g
"
O
R
"
d
e
e
p
l
e
a
r
n
i
n
g
"
O
R
"
n
e
u
r
a
l
n
e
t
w
o
r
k
*
"
O
R
"
p
r
e
d
i
c
t
i
v
e
a
n
a
l
y
t
i
c
s"
)
A
N
D
(
h
o
s
p
i
t
a
l
i
t
y
O
R
h
o
t
e
l
*
O
R
t
o
u
r
i
sm
O
R
t
r
a
v
e
l
O
R
r
e
s
t
a
u
r
a
n
t
*
O
R
"
f
o
o
d
a
n
d
b
e
v
e
r
a
g
e
"
)
A
N
D
(
C
R
M
O
R
"
c
u
s
t
o
m
e
r
r
e
l
a
t
i
o
n
s
h
i
p
ma
n
a
g
e
me
n
t
"
O
R
p
e
r
s
o
n
a
l
i
z
*
O
R
r
e
c
o
m
me
n
d
*
O
R
f
o
r
e
c
a
s
t
*
O
R
"
r
e
v
e
n
u
e
ma
n
a
g
e
m
e
n
t
"
O
R
p
r
i
c
i
n
g
O
R
o
p
t
i
m
i
z
a
t
i
o
n
O
R
s
c
h
e
d
u
l
*
O
R
"
d
e
c
i
si
o
n
su
p
p
o
r
t
"
O
R
"
d
e
c
i
s
i
o
n
a
n
a
l
y
t
i
c
s"
)
)
Ti
mes
p
a
n
2
0
0
8
–
2
0
2
5
;
En
g
l
i
sh
;
d
o
c
u
m
e
n
t
t
y
p
e
s
:
a
r
t
i
c
l
e
,
p
r
o
c
e
e
d
i
n
g
s
p
a
p
e
r
,
b
o
o
k
c
h
a
p
t
e
r
I
EEE
X
p
l
o
r
e
(
"
A
l
l
M
e
t
a
d
a
t
a
"
:
"
m
a
c
h
i
n
e
l
e
a
r
n
i
n
g
"
O
R
"
A
l
l
M
e
t
a
d
a
t
a
"
:
"
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
"
O
R
"
A
l
l
M
e
t
a
d
a
t
a
"
:
"
d
e
c
i
si
o
n
s
u
p
p
o
r
t
"
O
R
"
A
l
l
M
e
t
a
d
a
t
a
"
:
"
o
p
t
i
m
i
z
a
t
i
o
n
"
)
A
N
D
(
"
A
l
l
M
e
t
a
d
a
t
a
"
:
h
o
s
p
i
t
a
l
i
t
y
O
R
"
A
l
l
M
e
t
a
d
a
t
a
"
:
h
o
t
e
l
O
R
"
A
l
l
M
e
t
a
d
a
t
a
"
:
t
o
u
r
i
sm)
Y
e
a
r
s
2
0
0
8
–
2
0
2
5
;
E
n
g
l
i
s
h
;
m
e
t
a
d
a
t
a
f
i
e
l
d
s
;
p
e
e
r
-
r
e
v
i
e
w
e
d
c
o
n
f
e
r
e
n
c
e
/
j
o
u
r
n
a
l
c
o
n
t
e
n
t
S
p
r
i
n
g
e
r
Li
n
k
/
S
c
i
e
n
c
e
D
i
r
e
c
t
(
"
mac
h
i
n
e
l
e
a
r
n
i
n
g
"
O
R
"
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
"
O
R
"
d
e
c
i
si
o
n
a
n
a
l
y
t
i
c
s"
O
R
"
p
r
e
d
i
c
t
i
v
e
a
n
a
l
y
t
i
c
s"
)
A
N
D
(
h
o
s
p
i
t
a
l
i
t
y
O
R
h
o
t
e
l
O
R
t
o
u
r
i
sm)
A
N
D
(
C
R
M
O
R
p
e
r
s
o
n
a
l
i
z
a
t
i
o
n
O
R
r
e
c
o
mm
e
n
d
a
t
i
o
n
O
R
f
o
r
e
c
a
st
i
n
g
O
R
"
r
e
v
e
n
u
e
ma
n
a
g
e
men
t
"
O
R
p
r
i
c
i
n
g
O
R
o
p
t
i
m
i
z
a
t
i
o
n
)
Y
e
a
r
s
2
0
0
8
–
2
0
2
5
;
En
g
l
i
sh
;
f
u
l
l
t
e
x
t
se
a
r
c
h
;
p
e
e
r
-
r
e
v
i
e
w
e
d
c
o
n
t
e
n
t
3
.
3
.
Study
s
elec
t
io
n,
re
v
iewe
rs,
a
nd
dis
a
g
re
em
ent
re
s
o
lutio
n
T
itles
/ab
s
tr
ac
t
s
an
d
f
u
ll
tex
ts
wer
e
s
cr
ee
n
ed
in
d
e
p
en
d
e
n
tly
b
y
two
r
e
v
iewe
r
s
.
Dis
ag
r
ee
m
en
ts
wer
e
r
eso
lv
ed
th
r
o
u
g
h
d
is
cu
s
s
io
n
;
if
co
n
s
en
s
u
s
was
n
o
t
r
ea
ch
ed
,
a
th
ir
d
s
en
io
r
r
ev
iewe
r
ad
j
u
d
icate
d
.
Scr
ee
n
in
g
d
ec
is
io
n
s
an
d
r
ea
s
o
n
s
f
o
r
ex
cl
u
s
io
n
wer
e
lo
g
g
ed
to
i
m
p
r
o
v
e
tr
an
s
p
ar
en
cy
a
n
d
r
ep
r
o
d
u
cib
ili
ty
.
3
.
4
.
Q
ua
ntit
a
t
iv
e
s
y
nthesis
(
bib
lio
m
et
ric
o
v
er
la
y
)
Alo
n
g
with
q
u
alitativ
e
th
em
at
ic
s
y
n
th
esis
,
q
u
an
titativ
e
d
escr
ip
to
r
s
o
f
th
e
e
v
id
en
ce
b
ase
is
r
ep
o
r
ted
.
T
h
e
f
in
al
r
ef
er
en
ce
lis
t w
as u
s
ed
to
p
r
o
d
u
ce
b
i
b
lio
m
etr
ic
s
u
m
m
ar
ies (
e.
g
.
,
s
tu
d
ies/
y
ea
r
an
d
b
y
s
tu
d
y
ty
p
e)
an
d
to
cr
ea
te
v
is
u
al
tr
e
n
d
p
lo
ts
.
K
ey
wo
r
d
co
-
o
cc
u
r
r
e
n
ce
:
k
ey
wo
r
d
co
-
o
cc
u
r
r
en
ce
was
an
al
y
ze
d
u
s
in
g
th
e
co
-
w
o
r
d
ap
p
r
o
ac
h
.
T
h
e
s
am
e
a
n
aly
s
is
ca
n
b
e
ex
ec
u
ted
in
VOSv
iewe
r
o
r
B
ib
lio
s
h
in
y
u
s
in
g
th
e
f
in
alize
d
d
ataset
ex
p
o
r
ted
f
r
o
m
Sco
p
u
s
/W
eb
o
f
Scien
ce
.
T
ab
le
2
o
p
er
atio
n
alize
s
t
h
e
r
ev
iew
p
r
o
to
c
o
l,
d
escr
ib
in
g
tr
an
s
p
ar
en
t
elig
ib
ilit
y
cr
iter
ia
(
in
clu
s
io
n
/ex
clu
s
io
n
)
,
an
d
t
h
e
q
u
ality
s
cr
ee
n
t
h
at
r
esu
lte
d
in
th
e
f
in
al
e
v
id
en
ce
b
ase
b
ef
o
r
e
q
u
an
titativ
e
d
escr
ip
tio
n
an
d
th
e
m
atic
s
y
n
th
esis
.
T
h
e
cr
iter
ia
ar
e
d
esi
g
n
ed
t
o
b
ala
n
ce
co
v
er
ag
e
a
n
d
r
i
g
o
r
.
First,
th
e
r
estrictio
n
o
f
th
e
p
u
b
licatio
n
win
d
o
w
to
2
0
0
8
–
2
0
2
5
p
lace
s
th
e
an
aly
s
is
in
th
e
co
n
tex
t
o
f
th
e
cu
r
r
en
t
d
if
f
u
s
io
n
o
f
MI
a
n
d
DA
i
n
h
o
s
p
itality
,
r
ed
u
cin
g
h
is
to
r
ical
n
o
is
e
wh
ile
m
ain
tain
in
g
s
u
f
f
icien
t
lo
n
g
i
tu
d
in
al
v
ar
iatio
n
to
co
m
p
u
te
tr
e
n
d
d
escr
ip
to
r
s
(
e.
g
.
,
s
tu
d
ies/
y
ea
r
)
.
Seco
n
d
,
lim
itin
g
th
e
d
o
cu
m
e
n
t
ty
p
es
to
p
e
er
-
r
ev
iewe
d
j
o
u
r
n
a
l
ar
ticles,
co
n
f
er
en
ce
p
r
o
ce
ed
in
g
s
,
an
d
s
ch
o
lar
ly
b
o
o
k
ch
ap
t
er
s
im
p
r
o
v
es
r
e
p
r
o
d
u
cib
ilit
y
an
d
m
eth
o
d
o
lo
g
ical
tr
ac
ea
b
ilit
y
,
wh
ile
e
x
clu
d
in
g
e
d
ito
r
ials
,
p
r
ac
titi
o
n
er
p
iece
s
,
t
h
eses
,
an
d
a
b
s
tr
ac
ts
-
o
n
ly
r
ec
o
r
d
s
r
ed
u
ce
s
th
e
r
is
k
o
f
n
o
n
-
v
e
r
if
iab
le
claim
s
an
d
i
n
co
m
p
lete
r
e
p
o
r
tin
g
.
T
h
e
to
p
ical
s
co
p
e
c
r
iter
io
n
p
r
o
v
id
es
a
m
ec
h
an
is
m
t
o
en
s
u
r
e
in
d
u
s
tr
y
r
elev
an
ce
th
r
o
u
g
h
th
e
r
eq
u
ir
em
e
n
t
o
f
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[
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.
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ch
d
em
o
n
s
tr
ates th
e
m
an
y
o
r
g
an
i
za
tio
n
al
an
d
c
o
m
p
etitiv
e
o
p
p
o
r
tu
n
ities
s
u
ch
s
y
s
tem
s
p
r
esen
t to
d
ay
.
I
n
ea
ch
ca
s
e
ex
am
p
le,
th
ese
v
ar
io
u
s
ap
p
licatio
n
s
o
f
an
aly
tic
s
h
av
e
d
em
o
n
s
tr
ated
p
r
o
m
is
in
g
r
esu
lts
,
in
clu
d
in
g
b
etter
m
ar
k
etin
g
s
t
r
ateg
ies
f
o
r
p
e
r
s
o
n
alize
d
s
er
v
ice,
b
etter
p
r
e
d
ictio
n
s
,
an
d
th
u
s
b
etter
s
tr
ateg
ic
p
lan
n
in
g
o
f
s
taf
f
in
g
a
n
d
,
to
s
o
m
e
ex
ten
t,
b
etter
co
n
tr
o
l
o
v
er
en
er
g
y
co
n
s
u
m
p
tio
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a
n
d
e
n
er
g
y
co
s
ts
.
T
h
e
r
e
ar
e
s
ev
er
al
m
an
ag
em
en
t
im
p
licatio
n
s
,
wh
ich
ar
e
also
r
etr
iev
e
d
f
r
o
m
b
o
th
th
e
co
n
s
u
m
er
s
u
r
v
ey
an
d
th
e
in
d
u
s
tr
y
r
ep
r
esen
tativ
e
s
tu
d
y
[
2
1
]
.
T
h
e
in
d
u
s
tr
y
r
ep
r
esen
tativ
es
ex
p
e
r
ien
ce
d
r
ea
l
p
r
o
g
r
ess
f
r
o
m
ad
o
p
tin
g
MI
a
n
d
DA
.
On
e
was
th
e
s
ig
n
if
ican
t
r
o
le
p
lay
ed
b
y
th
e
tech
n
o
lo
g
y
p
r
o
v
id
er
in
ter
m
s
o
f
estab
lis
h
in
g
an
d
m
ain
tain
i
n
g
a
r
elatio
n
s
h
ip
with
th
e
h
o
s
p
itality
b
u
s
in
ess
.
L
ess
o
n
s
lear
n
ed
a
n
d
b
est
p
r
ac
tices
d
er
iv
ed
f
r
o
m
th
e
ca
s
e
ex
am
p
les
s
u
g
g
est
th
at
f
ir
m
s
b
en
ef
itin
g
f
r
o
m
u
s
in
g
MI
a
n
d
DA
tech
n
o
lo
g
y
ar
e
th
o
s
e
th
at
ca
n
ab
s
o
r
b
k
n
o
wled
g
e
f
r
o
m
tech
n
o
lo
g
y
p
r
o
v
id
er
s
a
n
d
attr
ac
t
p
r
ed
ictiv
e
an
al
y
tic
talen
t
t
o
th
eir
f
ir
m
.
T
h
e
p
r
o
v
is
io
n
o
f
MI
-
b
ased
s
er
v
ices
an
d
p
r
o
d
u
cts in
h
o
s
p
itality
n
ec
ess
itate
s
th
e
co
llectio
n
o
f
s
u
b
s
tan
tial a
m
o
u
n
ts
o
f
c
u
s
to
m
er
d
ata.
W
ith
th
e
ab
u
n
d
an
ce
o
f
d
at
a
th
at
ca
n
s
u
p
p
o
r
t
d
ec
is
io
n
m
ak
in
g
,
o
p
er
atio
n
s
ac
r
o
s
s
h
o
s
p
itality
en
ter
p
r
is
es
ca
n
b
e
o
p
tim
ized
,
r
ed
u
cin
g
co
s
ts
,
im
p
r
o
v
i
n
g
s
er
v
ice
s
p
ee
d
,
an
d
en
h
a
n
cin
g
cu
s
to
m
er
s
atis
f
ac
tio
n
.
T
h
ese
d
ev
elo
p
m
en
ts
h
av
e
ac
ce
ler
ated
th
e
u
s
e
o
f
DA
i
n
h
o
s
p
itality
o
p
e
r
atio
n
s
.
Acc
o
r
d
in
g
ly
,
th
is
s
ec
tio
n
r
ev
iews
em
p
ir
ical
a
n
d
co
n
ce
p
tu
al
s
tu
d
ies
th
at
ap
p
ly
DA
,
in
clu
d
i
n
g
th
e
t
y
p
es
o
f
d
ata
u
s
ed
,
h
o
w
d
ata
ar
e
co
llected
an
d
cu
r
ated
,
an
d
th
e
an
aly
tical
m
o
d
els
em
p
lo
y
ed
—
f
r
o
m
d
escr
ip
tiv
e
ap
p
r
o
ac
h
e
s
to
p
r
ed
ictiv
e
an
d
p
r
escr
ip
tiv
e
m
o
d
els.
Pric
in
g
is
an
im
p
o
r
tan
t
tactic
f
o
r
h
o
telier
s
to
in
cr
ea
s
e
r
ev
e
n
u
e
an
d
o
f
f
er
m
o
r
e
tailo
r
ed
p
r
o
d
u
cts
to
d
if
f
er
en
t
c
o
n
s
u
m
er
s
eg
m
en
ts
.
T
r
ad
itio
n
al
h
o
tel
p
r
icin
g
th
e
o
r
ies
u
s
e
d
em
an
d
f
o
r
s
h
o
r
t
-
t
er
m
f
o
r
ec
asti
n
g
to
d
eter
m
in
e
t
h
e
o
p
tim
al
p
r
ice
p
o
in
t.
W
ith
th
e
u
s
e
o
f
co
n
v
en
tio
n
al
p
r
icin
g
,
wh
er
e
f
o
r
ec
asts
ar
e
r
ev
is
ed
7
–
3
0
d
ay
s
b
ef
o
r
e
ar
r
iv
al,
h
o
t
elier
s
u
s
e
tim
e
-
co
n
tr
o
lled
p
r
icin
g
m
eth
o
d
s
to
m
o
d
i
f
y
p
r
ices
in
r
esp
o
n
s
e
to
th
e
lev
el
o
f
d
em
a
n
d
[
2
2
]
.
Fo
r
ex
am
p
le,
m
o
r
e
e
x
p
en
s
iv
e
p
r
em
iu
m
r
ates
d
u
r
in
g
th
e
h
ig
h
-
d
e
m
an
d
s
ea
s
o
n
,
with
p
r
ice
d
ec
r
ea
s
es
to
s
tim
u
late
d
em
an
d
d
u
r
i
n
g
th
e
lo
w
s
ea
s
o
n
.
T
h
e
tr
ad
itio
n
al
s
tatic
p
r
icin
g
m
eth
o
d
n
o
lo
n
g
er
m
ee
ts
th
e
d
em
an
d
s
o
f
th
e
cu
r
r
en
t
en
v
ir
o
n
m
e
n
t.
W
ith
th
e
o
p
tim
al
p
r
ice
b
ein
g
ca
lcu
late
d
at
th
e
tim
e
o
f
th
e
cu
s
to
m
er
’
s
ar
r
iv
al,
h
o
tels
ca
n
u
s
e
DA
to
ch
an
g
e
p
r
ices
d
y
n
am
ically
.
T
h
u
s
,
in
f
o
r
m
atio
n
o
n
f
ac
to
r
s
af
f
ec
tin
g
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d
em
an
d
ca
n
b
e
u
s
ed
to
d
y
n
am
ically
ad
ju
s
t p
r
ices in
r
ea
l tim
e
b
ased
o
n
c
u
s
to
m
er
-
p
r
o
d
u
ct
in
ter
ac
tio
n
,
en
a
b
lin
g
ea
ch
s
ales u
n
it to
m
ax
im
ize
r
e
v
en
u
e
o
p
tim
izatio
n
.
An
o
th
er
r
esear
ch
i
n
ter
est
is
th
e
allo
ca
tio
n
o
f
s
er
v
ices
an
d
r
e
s
o
u
r
ce
s
r
eq
u
ir
ed
b
y
th
e
cu
s
to
m
er
b
ased
o
n
th
e
s
p
ec
if
ic
v
alu
e
o
f
th
e
cu
s
to
m
er
in
q
u
esti
o
n
.
Usi
n
g
s
p
r
ea
d
s
h
ee
ts
f
o
r
DA
,
cu
s
to
m
er
v
alu
e
u
s
in
g
th
e
cu
s
to
m
er
life
tim
e
v
alu
e
ca
n
b
e
u
s
ed
in
d
ef
i
n
itely
.
Oth
er
to
p
ics
o
f
i
n
ter
est
ar
e
s
er
v
ice
p
r
o
ce
s
s
m
an
ag
em
en
t,
s
er
v
ice
ef
f
icien
cy
m
an
ag
e
m
e
n
t,
cu
s
to
m
er
r
eten
tio
n
m
an
a
g
em
en
t,
h
o
tel
s
er
v
ice
q
u
ality
m
an
ag
em
e
n
t,
an
d
s
o
cial
m
ed
ia.
Dec
is
io
n
-
m
ak
in
g
ap
p
licatio
n
s
in
th
e
f
ield
o
f
h
o
s
p
itality
o
p
er
atio
n
s
h
av
e
d
e
m
o
n
s
tr
ated
v
ar
io
u
s
asp
ec
ts
o
f
im
p
r
o
v
in
g
o
p
e
r
atio
n
al
p
r
ac
tices
in
th
e
h
o
s
p
itality
in
d
u
s
tr
y
.
Ho
wev
e
r
,
d
ec
id
in
g
wh
eth
er
to
em
p
l
o
y
th
is
m
eth
o
d
in
th
e
r
ea
l
wo
r
ld
i
s
a
d
if
f
er
en
t
s
to
r
y
,
as
th
e
s
u
r
v
ey
also
r
ev
ea
ls
a
v
ar
iety
o
f
r
ea
s
o
n
s
wh
y
h
o
tels
d
o
n
o
t
u
tili
ze
th
e
m
eth
o
d
.
First,
th
e
o
p
e
n
in
g
q
u
esti
o
n
r
e
v
ea
ls
th
at
h
o
tel
s
taf
f
ar
e
i
n
ter
ested
in
u
tili
zin
g
d
ata
an
aly
tics
,
b
u
t
f
ew
a
r
e
ea
g
er
to
m
ak
e
it
t
h
eir
p
r
in
cip
al
ap
p
r
o
ac
h
to
b
etter
co
m
p
r
eh
e
n
d
an
d
m
ee
t
th
eir
cu
s
to
m
er
s
’
n
ee
d
s
.
Pric
in
g
b
ec
o
m
es
co
m
p
licate
d
d
u
e
to
th
e
in
ter
ac
tio
n
b
etwe
en
d
if
f
er
en
t
m
ar
k
et
s
eg
m
en
ts
,
p
r
ice
s
en
s
itiv
ity
,
an
d
s
o
m
e
s
er
v
ice
ch
ar
ac
ter
is
tics
th
at
m
ay
n
o
t
b
e
h
o
m
o
g
en
o
u
s
ly
p
r
iced
[
2
3
]
–
[
2
8
]
.
A
p
r
ice
p
o
in
t
an
d
p
r
ice
s
tr
u
ctu
r
e
ca
n
,
h
o
w
ev
er
,
b
e
id
en
tifie
d
b
y
an
al
y
z
in
g
an
estab
lis
h
m
en
t’
s
d
em
a
n
d
cu
r
v
e
a
n
d
co
s
t
s
tr
u
ctu
r
e.
Fu
r
th
er
m
o
r
e,
ad
d
iti
o
n
al
b
en
ef
its
ca
n
b
e
d
er
iv
ed
f
r
o
m
co
n
tin
u
o
u
s
ly
an
aly
zi
n
g
co
n
s
u
m
er
d
em
a
n
d
wh
en
ev
er
s
h
o
r
t
-
ter
m
an
d
d
y
n
am
ic
p
r
ice
ch
an
g
es
ar
e
n
o
t
ex
p
ec
ted
.
I
t
is
im
p
o
r
tan
t
to
p
o
in
t
o
u
t
th
at
d
y
n
am
i
c
p
r
icin
g
m
o
d
els
u
s
u
ally
s
im
u
ltan
eo
u
s
ly
m
ax
im
ize
r
e
v
en
u
e
wh
ile
lo
wer
in
g
cu
s
to
m
er
s
’
r
esis
tan
ce
.
A
tr
an
s
p
ar
en
t
p
r
icin
g
s
tr
ateg
y
is
ap
p
r
ec
iated
b
y
cu
s
to
m
er
s
a
n
d
ad
d
s
v
alu
e
to
th
e
p
r
o
d
u
ct
.
Fo
r
ex
am
p
le,
s
o
m
e
cr
u
is
e
lin
er
s
h
av
e
b
ee
n
v
er
y
s
u
cc
ess
f
u
l in
th
is
ar
ea
b
y
u
s
in
g
a
ca
m
p
aig
n
t
h
at
em
p
h
asizes
T
h
e
allo
ca
tio
n
an
d
m
an
a
g
em
e
n
t
o
f
r
eso
u
r
ce
s
is
cr
itical
f
o
r
t
h
e
ef
f
icien
t
o
p
er
atio
n
o
f
an
y
h
o
s
p
itality
en
tity
.
Ma
n
y
o
p
er
atio
n
al
f
u
n
ctio
n
s
o
f
th
e
h
o
s
p
itality
s
ec
to
r
r
ely
o
n
th
e
d
ep
lo
y
m
en
t
o
f
s
u
f
f
icien
t
co
m
p
lem
en
tar
y
r
eso
u
r
ce
s
.
Fo
r
ex
am
p
le,
p
atr
o
llin
g
an
d
i
n
v
en
to
r
y
s
taf
f
,
k
itch
e
n
s
taf
f
,
s
er
v
ice
s
taf
f
,
an
d
d
ata
an
aly
tics
ca
n
p
lay
a
s
ig
n
if
ican
t
r
o
le
in
m
ak
in
g
th
e
m
o
s
t
o
f
th
o
s
e
r
eso
u
r
ce
s
wh
ile
ass
is
tin
g
o
p
er
atio
n
m
an
ag
em
en
t i
n
d
ec
is
io
n
-
m
a
k
i
n
g
.
On
e
o
f
th
e
k
ey
co
n
ce
p
ts
n
ec
e
s
s
ar
y
f
o
r
o
p
er
atio
n
al
f
u
n
ctio
n
s
is
th
e
n
ee
d
f
o
r
th
e
d
ep
lo
y
m
en
t
o
f
d
ata
an
aly
tics
,
wh
ich
ca
n
b
e
o
p
er
at
io
n
al
th
r
o
u
g
h
t
h
e
allo
ca
tio
n
o
f
r
eso
u
r
ce
s
in
v
o
l
v
ed
in
t
h
e
o
p
e
r
atio
n
al
wo
r
k
f
lo
w.
As
th
e
wo
r
k
f
lo
w
is
h
ig
h
ly
d
e
p
en
d
en
t
o
n
r
ea
l
-
tim
e
d
em
a
n
d
s
o
f
cu
s
to
m
er
s
,
f
ir
m
s
in
in
d
u
s
tr
ies
s
u
ch
as
s
er
v
ice
an
d
h
o
s
p
itality
n
ee
d
r
ea
l
-
tim
e
d
ata
to
b
etter
m
a
n
ag
e
r
eso
u
r
ce
s
,
h
e
n
ce
i
n
cr
ea
s
in
g
s
er
v
ice
ef
f
icien
cy
.
E
m
p
ir
ical
s
tu
d
ies
h
av
e
s
h
o
wn
th
at
th
is
ap
p
r
o
ac
h
is
b
en
ef
ici
al,
esp
ec
ially
in
h
o
tels
,
g
iv
en
th
at
h
o
s
p
itality
is
lab
o
r
-
in
ten
s
iv
e
a
n
d
h
as
th
e
p
o
ten
tial
to
in
cr
ea
s
e
th
e
ef
f
icie
n
cy
o
f
o
p
er
atio
n
m
an
ag
em
en
t
f
u
n
ctio
n
s
.
An
o
th
er
ap
p
licatio
n
o
f
an
aly
tics
in
o
p
er
atio
n
al
f
u
n
ctio
n
s
ca
n
b
e
f
o
u
n
d
in
ex
p
lo
r
in
g
h
o
w
co
m
p
l
em
en
tar
y
r
eso
u
r
ce
s
co
u
ld
b
e
o
p
tim
ally
d
is
tr
ib
u
ted
ac
r
o
s
s
d
if
f
er
en
t
o
p
er
atio
n
al
j
o
b
f
u
n
ctio
n
s
to
m
ax
im
ize
p
er
f
o
r
m
an
ce
.
E
m
p
ir
ical
ev
id
e
n
ce
f
in
d
s
th
at
d
ata
an
aly
tics
in
th
is
f
o
r
m
is
b
en
ef
icial,
as
s
ig
n
if
ican
t
en
h
a
n
ce
m
en
ts
in
p
er
f
o
r
m
an
ce
ca
n
b
e
ac
h
ie
v
ed
b
y
m
ax
im
izin
g
th
e
allo
ca
tio
n
o
f
av
ailab
le
r
eso
u
r
ce
s
[
2
9
]
.
T
h
e
tim
e
s
er
ies
d
ata
co
llected
o
v
er
u
s
er
life
s
p
an
s
ca
n
b
e
f
ed
in
to
p
r
ed
ictiv
e
alg
o
r
ith
m
s
to
ac
cu
r
ately
f
o
r
ec
ast
u
s
er
p
ar
ticip
atio
n
in
th
e
f
u
tu
r
e.
Pre
d
ictiv
e
an
aly
ti
cs
ca
n
b
e
f
u
r
th
er
ap
p
lied
to
f
o
r
ec
ast
jo
b
f
u
n
ctio
n
s
o
r
s
er
v
ices
r
eq
u
ir
ed
at
d
if
f
er
en
t
tim
es
ac
r
o
s
s
o
p
er
ati
o
n
al
ex
ec
u
tio
n
s
.
T
h
e
ad
v
a
n
ta
g
e
o
f
u
s
in
g
p
r
ed
ictiv
e
an
al
y
tics
is
it
s
r
elian
ce
o
n
h
is
to
r
ical
u
s
er
ac
tiv
ity
d
ata,
h
en
ce
th
e
co
m
p
u
tatio
n
o
f
th
e
o
b
s
er
v
e
d
s
am
p
le
ca
n
b
e
b
ias
-
f
r
ee
.
Pre
d
ictiv
e
an
aly
tics
,
th
er
ef
o
r
e
,
ten
d
t
o
r
ed
u
ce
c
o
s
ts
wh
ile
s
im
u
lta
n
eo
u
s
ly
in
cr
ea
s
in
g
th
e
ac
cu
r
ac
y
o
f
f
o
r
ec
asts
.
I
n
tr
o
d
u
cin
g
d
ata
an
aly
tics
in
th
e
o
p
e
r
atio
n
s
f
u
n
ctio
n
o
f
a
n
y
in
d
u
s
tr
y
is
n
o
t
with
o
u
t
c
h
allen
g
es.
First
an
d
f
o
r
em
o
s
t,
t
h
e
ex
is
tin
g
s
etu
p
s
m
u
s
t
b
e
a
d
ju
s
ted
to
ac
co
m
m
o
d
ate
d
ata
a
n
aly
tics
.
Mo
s
t
ex
is
tin
g
o
p
er
atio
n
s
ar
e
n
o
t
d
esig
n
e
d
an
d
v
etted
f
o
r
th
e
ap
p
licatio
n
o
f
an
aly
tics
[
3
0
]
–
[
3
2
]
.
Ma
n
y
s
y
s
tem
s
ar
e
m
a
n
u
ally
d
r
i
v
en
;
h
e
n
ce
,
s
taf
f
m
ay
n
o
t
tr
u
s
t
an
y
a
n
aly
tics
an
d
m
ay
s
ee
k
to
s
ab
o
tag
e
th
e
p
r
o
jecte
d
b
e
n
ef
its
.
Mo
r
e
im
p
o
r
tan
tly
,
b
o
th
to
u
ch
in
g
a
n
d
n
o
n
to
u
c
h
ab
le
e
m
p
lo
y
ee
s
n
ee
d
to
b
e
m
ad
e
awa
r
e
th
at
ch
an
g
in
g
th
e
o
p
e
r
atio
n
al
co
u
r
s
e
to
ac
co
m
m
o
d
ate
a
n
aly
tics
will
n
o
t
ch
an
g
e
th
ei
r
jo
b
s
,
as
o
p
er
at
io
n
s
will
s
til
l
b
e
p
er
f
o
r
m
e
d
b
y
h
u
m
an
s
;
an
aly
tics
is
ju
s
t
a
to
o
l
lik
e
an
y
o
th
er
to
o
l.
I
t
is
,
th
er
ef
o
r
e
,
n
ec
ess
ar
y
t
o
en
s
u
r
e
th
at
em
p
lo
y
ee
s
ar
e
d
ata
liter
ate
an
d
in
to
u
ch
with
th
e
d
ata
r
ev
o
lu
ti
o
n
cu
r
r
en
tly
ch
an
g
in
g
th
e
n
at
u
r
e
o
f
o
p
er
atio
n
s
an
d
d
ec
is
i
o
n
-
m
ak
i
n
g
in
m
o
s
t
s
er
v
ice
in
d
u
s
tr
ies.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
W
h
ile
r
ev
iewin
g
th
e
p
r
ev
io
u
s
s
ec
tio
n
an
d
ex
p
lo
r
in
g
v
ar
i
o
u
s
ad
v
an
ce
m
en
ts
an
d
ca
p
ab
ilit
ies
o
f
ML
,
AI
,
b
ig
d
ata,
an
d
r
o
b
o
tics
in
th
e
c
u
r
r
e
n
t
co
n
tex
t,
we
ca
n
in
v
esti
g
ate
a
s
tr
in
g
o
f
s
tu
d
i
es
f
o
cu
s
in
g
o
n
th
e
im
p
lem
en
tatio
n
o
f
th
ese
tech
n
o
lo
g
ical
ad
v
an
ce
m
en
ts
in
th
e
h
o
s
p
itality
s
ec
to
r
[
3
3
]
.
T
h
i
s
s
ec
tio
n
cr
itically
ex
am
in
es
th
e
liter
atu
r
e
an
d
o
f
f
er
s
in
-
d
e
p
th
ev
id
e
n
ce
o
n
th
e
ch
allen
g
es
an
d
b
ar
r
ie
r
s
ex
is
tin
g
in
th
e
im
p
lem
en
tatio
n
o
f
MI
(
i
n
clu
d
i
n
g
AI
/ML
)
an
d
DA
;
an
d
d
is
cu
s
s
es
th
e
v
ar
io
u
s
f
ac
t
o
r
s
co
n
tr
i
b
u
tin
g
to
th
is
.
Data
p
r
iv
ac
y
an
d
s
ec
u
r
ity
ar
e
th
e
t
wo
m
ain
co
m
p
o
n
en
ts
th
at
ar
e
eq
u
ally
d
iv
id
e
d
in
to
s
ix
r
esear
ch
s
tu
d
ies.
I
t
is
u
n
an
im
o
u
s
ly
ac
ce
p
ted
b
y
t
h
e
r
esear
ch
er
s
th
at
g
u
ests
d
o
n
o
t
wan
t
th
eir
d
ata
g
ath
er
ed
,
s
o
p
o
licies
ag
ain
s
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
A
p
p
lica
tio
n
s
o
f m
a
c
h
in
e
in
tell
ig
en
ce
a
n
d
d
ec
is
io
n
a
n
a
lytics
in
h
o
s
p
ita
lity:
a
s
ystema
tic
…
(
Oma
r
Ja
w
a
b
r
eh
)
2031
s
h
ar
in
g
g
u
est
d
ata
h
av
e
r
esu
l
ted
in
th
e
a
d
o
p
tio
n
o
f
m
u
ltip
le
s
y
s
tem
s
,
r
ed
u
n
d
an
cies
in
d
ata
g
ath
er
in
g
,
an
d
s
ilo
ed
s
to
r
ag
e
f
o
r
ea
ch
p
r
o
p
e
r
ty
,
lead
in
g
to
th
e
u
n
av
ailab
ilit
y
o
f
a
3
6
0
-
d
eg
r
ee
v
iew
o
f
t
h
e
c
u
s
to
m
er
.
4
.
1
.
Q
ua
ntit
a
t
iv
e
s
y
nthesis
:
bib
lio
m
et
ric
a
nd
t
re
nd
o
v
er
v
iew
T
o
co
m
p
lem
en
t
th
e
n
ar
r
ativ
e
s
y
n
th
esis
,
we
p
r
o
v
id
e
a
co
m
p
a
ct
q
u
an
titativ
e
o
v
er
v
iew
o
f
th
e
r
ev
iewe
d
ev
id
en
ce
b
ase.
Fig
u
r
e
2
s
h
o
ws
p
u
b
licatio
n
tr
en
d
s
b
y
y
ea
r
(
d
er
iv
ed
f
r
o
m
th
e
r
ef
er
e
n
ce
lis
t
u
s
ed
in
t
h
is
r
ev
iew;
N
=4
5
)
.
Fig
u
r
e
3
s
u
m
m
ar
ize
s
th
e
r
elativ
e
p
r
ev
alen
ce
o
f
ML
/AI
an
d
DA
tech
n
iq
u
es
m
en
tio
n
ed
ac
r
o
s
s
th
e
r
ev
iew
tex
t
(
p
r
o
x
y
in
d
icato
r
)
.
Fig
u
r
e
4
illu
s
tr
ates
th
e
f
r
e
q
u
en
cy
o
f
MI
/AI
an
d
DA
tech
n
iq
u
es
m
en
tio
n
e
d
in
th
e
s
tu
d
ies
in
clu
d
ed
in
th
is
r
ev
iew.
T
h
is
f
ig
u
r
e
p
r
o
v
id
es
a
p
r
o
x
y
in
d
icato
r
o
f
th
e
r
elativ
e
p
r
o
m
in
e
n
ce
o
f
ea
ch
tech
n
iq
u
e
with
in
t
h
e
r
ev
iewe
d
s
tu
d
ies.
Fig
u
r
e
2
illu
s
tr
ates
th
e
an
n
u
al
p
u
b
licatio
n
tr
en
d
o
f
th
e
s
tu
d
ie
s
in
clu
d
ed
in
th
is
r
ev
iew,
u
s
in
g
o
n
ly
th
e
r
ef
er
en
ce
lis
t
r
etain
ed
af
ter
th
e
s
cr
ee
n
in
g
an
d
elig
i
b
ilit
y
s
tag
es.
T
h
e
tr
en
d
s
h
o
ws
a
lo
w
r
esear
ch
v
o
lu
m
e
in
th
e
ea
r
ly
y
ea
r
s
,
with
a
clea
r
in
cr
e
ase
in
r
ec
en
t
y
ea
r
s
.
T
h
e
u
p
war
d
tr
en
d
in
d
icate
s
th
at
MI
a
n
d
DA
in
h
o
s
p
itality
h
av
e
tr
an
s
itio
n
e
d
f
r
o
m
a
n
ich
e
in
ter
est
to
a
p
r
im
ar
y
r
esear
c
h
s
tr
ea
m
,
lik
ely
f
u
eled
b
y
th
e
av
ailab
ilit
y
o
f
m
o
r
e
d
ata,
ad
v
an
ce
m
en
ts
in
co
m
p
u
t
in
g
,
an
d
t
h
e
g
r
o
win
g
o
p
er
atio
n
al
n
ee
d
f
o
r
au
to
m
atio
n
an
d
p
er
s
o
n
aliza
tio
n
.
T
h
is
g
r
o
wth
also
r
ef
lects
in
cr
ea
s
in
g
m
an
a
g
em
en
t
atten
tio
n
o
n
a
p
p
licatio
n
s
s
u
ch
as
CRM
,
r
e
co
m
m
en
d
atio
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an
d
p
er
s
o
n
aliza
tio
n
,
d
em
an
d
f
o
r
ec
asti
n
g
,
d
y
n
a
m
ic
p
r
icin
g
an
d
r
e
v
en
u
e
o
p
tim
izatio
n
.
I
m
p
o
r
tan
t
ly
,
th
e
f
i
g
u
r
e
d
o
es
n
o
t
o
n
ly
s
h
o
w
“m
o
r
e
p
ap
er
s
,
”
b
u
t
also
a
b
r
o
a
d
en
in
g
o
f
m
eth
o
d
o
lo
g
ical
ex
p
er
im
en
t
atio
n
,
f
r
o
m
ea
r
l
y
r
u
le
-
b
ased
o
r
d
escr
ip
tiv
e
a
p
p
r
o
ac
h
es
to
m
o
r
e
d
ata
-
d
r
i
v
e
n
m
o
d
els
(
e.
g
.
,
s
u
p
er
v
is
ed
l
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Fig
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4
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icate
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t
d
is
cu
s
s
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ap
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licatio
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er
s
o
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n
an
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p
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ice
ch
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tin
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cu
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s
.
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r
ec
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ite
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m
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s
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le
ar
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s
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u
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o
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o
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h
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p
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m
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ad
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al
m
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els
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s
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d
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h
asis
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o
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tech
n
iq
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e
u
s
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Fig
u
r
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4
.
Fre
q
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en
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f
M
I
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DA
tech
n
iq
u
es m
en
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e
d
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e
d
s
tu
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p
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r
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u
r
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5
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is
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r
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o
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o
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r
r
en
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k
t
h
at
s
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ws
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e
in
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r
elatio
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ip
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etwe
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co
r
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ce
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ts
o
f
t
h
e
r
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d
lin
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o
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lect
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ich
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icate
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r
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le
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e.
Evaluation Warning : The document was created with Spire.PDF for Python.
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te
th
e
m
ap
f
r
o
m
th
e
f
in
al
d
ataset
an
d
ex
p
er
im
en
t
with
th
e
ex
ten
t
to
wh
ich
r
esu
lts
ch
an
g
e
with
d
if
f
er
en
t
th
r
esh
o
ld
s
o
r
k
e
y
wo
r
d
clea
n
in
g
r
u
les.
Ov
er
all,
Fig
u
r
e
4
s
u
p
p
o
r
ts
th
e
r
ev
iew
s
y
n
th
esis
b
y
id
en
tify
i
n
g
th
e
d
o
m
in
an
t
th
em
atic
s
tr
u
ctu
r
e
o
f
MI
an
d
DA
in
h
o
s
p
itality
,
as
well
as
u
n
d
e
r
-
co
n
n
ec
ted
n
o
d
es
th
at
m
a
y
i
n
d
icate
o
p
p
o
r
tu
n
ities
f
o
r
f
u
tu
r
e
in
teg
r
atio
n
ac
r
o
s
s
r
esear
ch
s
tr
ea
m
s
.
Fig
u
r
e
6
d
i
s
p
lay
s
th
e
k
ey
wo
r
d
c
o
-
o
cc
u
r
r
en
ce
n
etwo
r
k
at
t
h
e
p
a
r
ag
r
ap
h
lev
el.
I
t
ac
ts
as
a
p
r
o
x
y
m
ap
to
illu
s
tr
ate
th
e
clu
s
ter
in
g
o
f
to
p
ics
ev
alu
ated
in
th
e
liter
atu
r
e.
B
ig
g
er
n
o
d
es
r
ep
r
esen
t
m
o
r
e
cited
id
ea
s
,
an
d
th
ick
e
r
an
d
d
ar
k
e
r
l
in
k
ag
es r
ep
r
esen
t
g
r
ea
ter
c
o
-
o
cc
u
r
r
en
ce
i
n
th
e
s
am
e
tex
t seg
m
en
ts
.
Fig
u
r
e
5
.
Fre
q
u
en
cy
o
f
ML
/AI
an
d
DA
tech
n
iq
u
es m
en
tio
n
e
d
in
th
e
r
e
v
iew
tex
t (
p
r
o
x
y
in
d
icato
r
)
Fig
u
r
e
6
.
Key
w
o
r
d
c
o
-
o
cc
u
r
r
e
n
ce
n
etwo
r
k
in
th
e
in
cl
u
d
ed
s
t
u
d
ies (
p
ar
ag
r
ap
h
-
lev
el
p
r
o
x
y
m
ap
)
Fig
u
r
e
7
illu
s
tr
atin
g
r
elatio
n
s
h
ip
s
o
f
co
r
e
co
n
ce
p
ts
ac
r
o
s
s
r
e
v
iewe
d
s
tu
d
ies.
T
h
e
co
-
wo
r
d
l
in
k
s
wer
e
ca
lcu
lated
at
th
e
p
ar
ag
r
ap
h
lev
el,
i.e
.
,
two
ter
m
s
ar
e
lin
k
ed
wh
en
th
ey
o
cc
u
r
in
th
e
s
am
e
p
ar
ag
r
a
p
h
.
T
h
e
s
ize
o
f
ea
ch
n
o
d
e
s
h
o
ws
th
e
r
elativ
e
p
r
o
m
in
en
ce
o
f
th
e
co
r
r
esp
o
n
d
in
g
k
e
y
wo
r
d
,
an
d
th
e
th
ic
k
n
ess
o
f
lin
k
s
s
h
o
ws
th
e
s
tr
en
g
th
o
f
co
-
o
cc
u
r
r
e
n
ce
.
T
h
e
r
esu
ltin
g
s
tr
u
ctu
r
e
h
ig
h
li
g
h
ts
d
o
m
in
an
t
th
em
atic
clu
s
ter
s
(
e.
g
.
,
d
ata
-
d
r
i
v
en
p
er
s
o
n
aliza
tio
n
,
f
o
r
ec
asti
n
g
,
p
r
icin
g
an
d
RM
,
an
d
d
ec
is
io
n
s
u
p
p
o
r
t)
an
d
th
e
in
ter
s
ec
ti
o
n
s
b
etwe
en
th
ese
to
p
ics.
L
o
o
s
e
o
r
p
er
ip
h
e
r
y
c
o
n
n
ec
tio
n
s
o
f
n
o
d
es
in
d
icate
n
ic
h
e
o
r
em
er
g
in
g
s
tr
ea
m
s
.
T
h
e
n
etwo
r
k
is
in
ten
d
ed
to
b
e
r
ep
r
o
d
u
cib
le
with
VOSv
iewe
r
o
r
B
ib
lio
s
h
in
y
o
n
ce
th
e
f
in
alize
d
d
ataset
is
ap
p
lied
.
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