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i
z
a
tio
n
:
A
r
c
h
i
te
c
tu
r
a
l d
ia
g
r
a
m
F
i
r
s
t
pa
r
t
c
o
n
t
a
i
n
s
q
u
a
s
i
i
de
nt
i
f
i
e
r
a
n
d
g
r
ou
p
n
um
be
r
.
S
e
c
on
d pa
r
t
c
on
t
a
i
n
s
s
e
n
s
i
t
i
v
e
t
upl
e
a
l
ong
w
it
h
it
s
L
-
1
c
o
unt
e
r
f
e
i
t
va
l
u
e
s
,
c
o
unt
o
f
e
a
c
h s
e
ns
i
t
i
ve
v
a
l
ue
a
nd
gr
o
up
n
u
m
b
e
r
.
A
d
d
i
ng
L
-
1
co
u
n
t
er
f
ei
t
v
a
lu
e
s
w
it
h
r
e
a
l
v
a
l
u
e
w
ill
m
a
k
e
d
if
f
ic
u
lt to
d
is
c
lo
s
e
th
e
s
e
n
s
it
iv
e
v
a
lu
e
.
T
h
e
s
e
c
o
u
n
te
r
f
e
it v
a
lu
e
s
w
ill
b
e
v
a
lid
a
te
d
w
i
t
h t
he
up
c
o
m
i
n
g
i
np
ut
t
up
l
e
s
.
G
r
o
u
p
wi
s
e
co
u
n
t
o
f
r
el
eas
ed
t
u
p
l
es
w
i
l
l
b
e
m
ai
n
t
ai
n
ed
.
T
h
e
s
i
m
i
l
ar
i
t
y
o
f
co
u
n
t
er
f
ei
t
v
al
u
e
s
w
i
l
l
af
f
ect
p
r
i
v
ac
y
.
I
t
can
b
e
av
o
i
d
ed
b
y
r
ep
l
aci
n
g
s
i
m
i
l
ar
v
al
u
es
i
n
t
h
e g
r
o
u
p
.
2.
RE
L
AT
E
D W
O
RK
T
he
r
e
i
s
ne
e
d
o
f
e
s
t
a
b
l
i
s
hi
n
g g
ui
d
e
l
i
ne
s
f
o
r
p
r
i
va
c
y
a
ga
i
ns
t
i
nva
s
i
ve
m
a
r
ke
t
i
n
g a
nd
i
na
d
ve
r
t
e
nt
p
r
i
v
ac
y
d
i
s
cl
o
s
u
r
e
[
1
1
]
.
P
r
i
v
a
c
y
r
eq
u
i
r
e
m
e
n
t
s
i
n
d
at
a
s
h
ar
i
n
g
f
o
r
b
i
g
d
at
a
o
p
er
at
o
r
s
n
eed
s
cal
ab
l
e p
r
i
v
ac
y
pr
e
s
e
r
v
i
ng
a
l
g
or
i
t
hm
s
t
o pr
ov
i
de
pr
i
v
a
c
y
t
o t
h
e
da
t
a
s
e
t
s
.
H
e
a
l
t
h
i
nf
or
m
a
t
i
on
pr
ov
i
de
r
s
c
a
n be
n
e
f
i
t
f
r
o
m
c
os
t
-
p
r
o
f
it
m
o
d
e
l to
ta
k
e
d
e
c
is
io
n
a
b
o
u
t s
h
a
r
in
g
t
h
e
h
e
a
lt
h
r
e
la
te
d
d
a
ta
to
o
th
e
r
p
a
r
tie
s
[
1
2
]
.
P
r
iv
a
c
y
r
e
q
u
ir
e
m
e
n
ts
a
r
e
i
m
p
o
r
ta
n
t
in
b
ig
d
a
ta
c
o
lle
c
tio
n
,
s
to
r
a
g
e
a
n
d
in
tr
a
a
n
d
i
n
te
r
-
o
r
ga
ni
z
a
t
i
o
n p
r
o
c
e
s
s
i
n
g.
T
o
m
a
ke
t
he
co
m
p
u
t
i
n
g
o
f
b
i
g
d
at
a i
n
p
r
i
v
ac
y
p
r
es
er
v
ed
w
a
y
P
r
i
v
ac
y
p
r
es
er
v
i
ng
a
g
gr
e
ga
t
i
o
n,
en
cr
y
p
t
ed
d
at
a
ope
r
a
t
i
on
s
a
nd
de
-
id
e
n
t
if
ic
a
tio
n
te
c
h
n
iq
u
e
s
a
r
e
s
u
g
g
e
s
te
d
[
1
3
]
.
I
n
d
a
ta
p
r
iv
a
c
y
,
it
is
r
e
q
u
ir
e
d
to
u
n
d
e
r
s
ta
n
d
p
r
iv
a
c
y
r
eq
u
i
r
e
m
en
t
s
i
n
d
at
a p
r
o
v
i
d
er
,
d
at
a co
l
l
ect
o
r
,
d
at
a
m
i
n
er
,
d
eci
s
i
o
n
m
a
k
er
s
t
a
g
es
[
1
4
]
.
N
ee
d
o
f
k
eep
i
n
g
s
o
u
r
ce
o
r
o
r
ig
in
o
f
d
a
ta
is
i
m
p
o
r
ta
n
t
to
id
e
n
ti
f
y
p
r
iv
a
c
y
a
tta
c
k
.
I
n
[
1
0
]
d
e
la
y
f
r
e
e
a
n
o
n
y
m
iz
a
tio
n
te
c
h
n
iq
u
e
is
u
s
e
d
f
o
r
to
r
e
d
u
c
e
d
e
la
y
a
n
d
in
c
r
e
a
s
e
d
a
ta
u
tilit
y
b
y
la
te
v
a
lid
a
tio
n
.
D
is
tr
ib
u
te
d
s
tr
e
a
m
p
r
o
c
e
s
s
i
n
g
i
s
d
o
n
e
w
it
h
e
x
te
n
d
in
g
s
t
o
r
m
c
a
p
a
b
ilitie
s
f
o
r
t
as
k
m
an
a
g
em
en
t
,
s
c
h
e
dul
i
ng
,
a
n
d e
x
e
c
u
t
i
ng
i
n
d
i
s
t
r
i
bu
t
e
d
m
a
nn
e
r
[
15]
.
D
A
R
T
s
y
s
t
e
m
pr
opos
e
f
r
a
m
e
w
or
k
f
or
di
f
f
e
r
e
n
t
de
v
i
c
e
s
p
r
e
s
e
n
t o
n
r
e
m
o
te
s
ite
s
i
n
d
is
tr
ib
u
te
d
e
n
v
ir
o
n
m
e
n
t.
T
h
is
f
r
a
m
e
w
o
r
k
p
r
o
v
id
e
s
f
a
c
ilit
y
o
f
r
e
g
is
tr
a
tio
n
a
n
d
a
u
th
o
r
iz
a
tio
n
o
f
d
e
v
ic
e
s
o
n
r
e
m
o
te
s
ite
,
ta
s
k
a
llo
c
a
tio
n
a
n
d
m
a
n
a
g
e
m
e
n
t o
f
u
s
e
r
a
p
p
lic
a
tio
n
.
I
n
th
e
s
y
s
te
m
c
o
m
p
u
ta
tio
n
lo
a
d
is
r
e
d
u
c
e
d
b
y
u
til
iz
in
g
id
le
r
e
s
o
u
r
c
e
s
[
1
6
]
.
T
h
e
d
is
tr
ib
u
te
d
s
tr
e
a
m
p
r
o
c
e
s
s
in
g
s
y
s
te
m
s
p
o
s
s
es
s
d
i
f
f
er
en
t
av
ai
l
ab
i
l
i
t
y
r
eq
u
i
r
e
m
en
t
f
o
r
d
i
f
f
er
en
t
ap
p
l
i
cat
i
o
n
s
.
W
h
e
n
on
e
of
t
h
e
node
s
i
n
di
s
t
r
i
bu
t
e
d
e
nvi
r
o
n
m
e
nt
ge
t
s
f
a
i
l
e
d
,
t
he
b
a
c
kup
o
r
s
e
c
o
nd
a
r
y s
e
r
ve
r
r
e
s
u
m
e
s
t
he
e
xe
c
ut
i
o
n.
W
hi
l
e
d
o
i
ng t
hi
s
,
t
he
s
t
a
t
e
s
h
oul
d be
m
a
i
n
t
a
i
n
e
d.
T
h
e
t
y
pe
of
r
e
c
ov
e
r
y
t
e
c
h
ni
qu
e
a
n
d pe
r
f
or
m
a
n
c
e
i
s
ba
s
e
d on s
t
r
e
a
m
pr
oc
e
s
s
i
ng
a
p
p
lic
a
tio
n
[
17]
.
T
h
e
n
e
w
s
t
r
e
a
m
pr
oc
e
s
s
i
ng
s
y
s
t
e
m
s
e
x
pl
oi
t
t
h
e
t
a
s
k
s
i
n
s
t
e
a
d of
n
ode
s
f
or
f
a
u
l
t
t
o
l
er
an
ce [
1
8
]
.
3.
R
ES
EA
R
C
H
M
ETH
O
D
3
.1
.
Th
e
N
eed
a
nd
I
m
p
o
rt
a
n
ce
o
f th
e
P
r
o
bl
e
m
E
le
c
tr
o
n
ic
h
e
a
lt
h
d
a
ta
is
p
r
o
d
u
c
e
d
in
la
r
g
e
q
u
a
n
t
it
y
.
I
n
a
n
o
n
y
m
iz
a
tio
n
o
f
t
h
is
d
a
ta
m
in
i
m
u
m
e
x
e
c
u
t
io
n
ti
m
e
a
n
d
le
s
s
i
n
f
o
r
m
a
tio
n
lo
s
s
i
s
i
m
p
o
r
ta
n
t.
A
n
o
n
y
m
iz
a
tio
n
d
e
la
y
i
s
m
in
i
m
iz
e
d
u
s
i
n
g
d
e
la
y
f
r
e
e
f
r
a
m
e
w
o
r
k
.
T
o
a
v
o
id
s
im
ila
r
it
y
a
tta
c
k
o
n
l
-
d
i
v
er
s
e co
u
n
t
er
f
ei
t
g
r
o
u
p
,
r
ep
l
ace
m
e
n
t
o
f
s
i
m
i
l
ar
v
a
l
u
e i
s
r
eq
u
i
r
ed
.
D
u
e t
o
l
ar
g
e a
m
o
u
n
t
o
f
t
u
p
l
es
o
f
el
ec
tr
o
n
ic
h
e
a
lt
h
d
a
ta
,
th
e
r
e
is
p
o
s
s
ib
ilit
y
o
f
f
o
r
m
a
t
io
n
o
f
s
i
m
ila
r
gr
o
up
s
a
nd
i
t
c
a
n d
i
s
c
l
o
s
e
t
he
s
e
ns
i
t
i
ve
va
l
ue
.
R
e
p
e
t
i
t
i
o
n o
f
s
uc
h
va
l
ue
s
i
n gr
o
up
i
s
a
vo
i
d
e
d
us
i
ng
t
he
s
y
n
t
h
et
i
c v
al
u
e
f
o
r
m
at
i
o
n
.
T
h
e co
m
p
l
e
x
i
t
y
o
f
b
i
g
el
ect
r
o
n
i
c
h
eal
t
h
d
at
a cr
eat
es
ch
al
l
en
ge
f
o
r
e
xi
s
t
i
n
g p
r
i
va
c
y
p
r
e
s
e
r
vi
n
g a
l
go
r
i
t
h
m
w
hi
c
h c
a
nno
t
w
o
r
k o
n l
a
r
ge
d
a
t
a
s
e
t
s
.
I
n
F
i
g
u
r
e 2
t
o
av
o
i
d
s
i
m
i
l
ar
i
t
y
at
t
ack
,
s
i
m
i
l
ar
i
t
y
i
n
d
ex
o
f
each
g
r
o
u
p
i
s
cal
cu
l
at
ed
[
1
9
]
.
I
f
s
o
m
e
v
al
u
e
s
ar
e s
i
m
i
l
ar
t
h
e
n
s
u
c
h
v
al
u
es
w
i
l
l
b
e r
ep
l
aced
w
i
t
h
o
t
h
er
v
al
u
es
.
F
o
r
t
h
i
s
r
ep
l
ace
m
e
n
t
h
el
p
o
f
p
as
t
d
at
a
is
ta
k
e
n
.
W
ith
th
e
p
o
lic
y
o
f
p
a
s
t r
e
f
le
c
t f
u
t
u
r
e,
f
o
r
ear
l
y
l
at
e v
al
i
d
at
i
o
n
o
f
co
u
n
t
er
f
ei
t
v
al
u
es
i
n
t
h
e g
r
o
u
p
t
h
e
v
al
u
e
s
f
r
o
m
t
h
e p
as
t
d
at
a ar
e
s
el
ect
ed
.
I
n
f
o
r
m
at
i
o
n
l
o
s
s
a
n
d
u
t
i
l
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y
o
f
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r
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d
at
a i
s
c
al
cu
l
at
ed
.
I
t
w
i
l
l
b
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
20
88
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I
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J
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l
e
c
&
C
o
m
p
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V
o
l.
8
, N
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.
5
,
O
c
t
o
be
r
201
8
:
2
920
-
2925
2922
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o
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e d
o
w
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v
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ei
t
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ou
p c
a
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s
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d
m
or
e
or
l
e
s
s
in
f
o
r
m
a
tio
n
lo
s
s
.
Fi
g
ur
e
2
.
W
o
r
k
f
lo
w
m
o
d
e
l to
a
v
o
id
s
i
m
i
la
r
it
y
a
tta
c
k
3
.2
.
A
l
gor
i
t
h
m
I
n
t
h
e
F
i
gu
r
e
3 a
l
g
or
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t
hm
f
or
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opos
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d m
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od u
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Fi
g
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3
.
A
l
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or
pr
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d m
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T
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a.
R
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r
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r
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s
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s
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a
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a s
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b.
L
o
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e r
a
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d
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a i
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d
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as
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c.
R
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a
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th
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f
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o
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ttr
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in
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p
lit it a
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p
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d
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li
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r
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Evaluation Warning : The document was created with Spire.PDF for Python.
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in
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..
(
G
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s
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ag
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i
)
29
23
d.
C
o
n
v
e
r
t th
e
s
p
li
t d
a
ta
o
f
f
ir
s
t l
in
e
in
to
c
o
lu
m
n
s
.
e.
R
e
a
d
th
e
f
ile
s
d
a
ta
i
n
b
u
f
f
e
r
li
n
e
b
y
li
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e
u
p
to
e
n
d
o
f
f
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n
v
e
r
t it in
to
tu
p
le
.
f.
S
p
lit th
e
d
a
ta
s
tr
e
a
m
u
s
i
n
g
d
e
l
i
m
ite
r
a
n
d
in
s
e
r
t i
n
t
h
e
c
o
lu
m
n
s
.
g.
I
d
e
n
tif
y
th
e
q
u
a
s
i a
n
d
s
e
n
s
iti
v
e
id
e
n
tif
ie
r
s
in
d
a
ta
ta
b
le
.
A
f
t
er
p
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ep
r
o
ces
s
i
n
g
t
h
e d
at
a
i
s
av
a
i
l
ab
l
e i
n
p
r
o
p
er
f
o
r
m
at
.
T
h
e A
n
at
o
m
y
[
2
1
]
t
ech
n
i
q
u
e d
i
v
i
d
e
s
i
n
p
u
t
t
u
p
l
e
s
i
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t
o
t
w
o
p
ar
t
s
.
T
h
e co
u
n
t
er
f
ei
t
v
al
u
es
w
i
l
l
b
e ad
d
ed
t
o
f
o
r
m
t
h
e g
r
o
u
p
s
.
I
f
t
h
e
co
u
n
t
er
f
ei
t
v
al
u
es
ar
e r
ep
eat
ed
m
o
r
e
n
o
o
f
t
i
m
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s
i
n
t
h
e g
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o
u
p
s
,
s
y
n
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h
e
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i
c
v
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es
ca
n
b
e
u
s
ed
t
o
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ep
l
ace t
h
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e r
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eat
ed
v
al
u
es
ot
h
e
r
w
i
s
e
pa
s
t
da
t
a
i
s
s
uf
f
i
c
i
e
n
t
t
o f
or
m
g
r
ou
p of
c
oun
t
e
r
f
e
i
t
v
a
l
u
e
s
.
F
or
e
a
c
h
i
n
di
v
i
d
u
a
l
gr
ou
p of
c
ou
n
t
e
r
f
e
i
t
v
al
u
e
s
s
i
m
i
l
ar
i
t
y
i
n
d
ex
o
f
g
r
o
u
p
w
i
l
l
b
e cal
cu
l
at
ed
.
I
f
t
h
e
v
a
l
u
es
ar
e s
i
m
i
l
ar
t
h
en
t
h
es
e
v
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u
es
w
i
l
l
b
e
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ep
l
aced
w
i
t
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o
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h
er
v
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u
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f
r
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t
h
e p
a
s
t
d
at
a.
L
at
e
v
al
i
d
at
i
o
n
i
s
d
o
n
e
b
y
m
ai
n
t
ai
n
i
n
g
t
h
e
g
r
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u
p
co
u
n
t
a
n
d
t
h
e r
el
eas
ed
tu
p
le
s
i
n
th
e
g
r
o
u
p
.
S
ta
ti
s
tic
d
a
ta
o
f
in
f
o
r
m
a
t
io
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lo
s
s
a
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d
u
tilit
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m
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a
s
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r
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m
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f
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g t
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va
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s
i
n t
h
e
gr
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up
.
4.
D
IS
TR
I
B
U
TED
EX
E
C
U
T
I
O
N
F
LO
W
I
n
cas
e o
f
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f
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d
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n
o
t
h
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v
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n
o
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g
h
p
r
o
ces
s
i
n
g
cap
ab
i
l
i
t
y
an
d
i
n
f
r
as
t
r
u
ct
u
r
e
t
o
p
r
o
ces
s
l
ar
g
e am
o
u
n
t
o
f
d
at
a,
s
u
ch
s
t
r
ea
m
d
a
ta
w
ill b
e
g
iv
e
n
to
th
ir
d
p
a
r
ty
.
I
n
s
u
c
h
s
it
u
a
tio
n
e
x
is
tin
g
m
e
t
h
ods
a
r
e
i
n
a
ppr
opr
i
a
t
e
t
o pr
ov
i
de
e
n
ou
gh
pr
i
v
a
c
y
.
F
i
gur
e
4
s
h
o
w
t
h
e
d
is
tr
ib
u
te
d
e
x
e
c
u
tio
n
f
lo
w
o
f
b
ig
s
t
r
ea
m
i
n
g
d
at
a.
I
n
d
el
ay
f
r
ee an
o
n
y
m
i
zat
i
o
n
m
et
h
o
d
L
-
d
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v
e
r
s
e
c
o
u
n
te
r
f
e
it
v
a
lu
e
s
w
ill b
e
g
en
er
at
ed
w
h
en
n
e
w
t
u
p
l
e ar
r
i
v
es
.
I
t
g
e
n
er
at
es
t
h
es
e v
al
u
e
s
f
r
o
m
p
as
t
d
at
a (
d
o
m
ai
n
o
f
s
e
n
s
i
t
i
v
e
v
al
u
es
)
.
F
o
r
b
i
g
d
at
a,
m
i
l
l
i
o
n
s
o
f
t
u
p
l
es
ar
e ar
r
i
v
i
n
g
i
n
o
n
e s
e
s
s
i
o
n
an
d
r
a
n
d
o
m
l
y
co
u
n
t
er
f
ei
t
v
al
u
e
s
g
et
g
en
er
at
ed
[
2
0
]
.
T
h
er
e i
s
p
r
o
b
ab
i
l
i
t
y
o
f
s
i
m
i
l
ar
v
al
u
es
ge
t
t
i
n
g ge
ne
r
a
t
e
d
i
n a
gr
o
up
.
T
hi
s
m
a
y
c
a
us
e
s
i
m
i
l
a
r
i
t
y a
t
t
a
c
k o
n t
he
p
a
t
i
e
nt
d
a
t
a
.
F
i
g
ur
e
4
.
D
is
tr
ib
u
te
d
E
x
e
c
u
tio
n
f
lo
w
f
o
r
b
ig
s
tr
e
a
m
in
g
d
a
ta
t
o
a
v
o
id
s
i
m
ila
r
it
y
a
tta
c
k
T
o
a
vo
i
d
t
hi
s
s
i
t
ua
t
i
o
n
w
h
e
n
t
he
s
i
m
i
l
a
r
va
l
ue
s
ge
t
ge
ne
r
a
t
e
d
i
n
t
he
gr
o
up
,
w
e
can
r
ep
l
ace t
h
es
e
s
i
m
i
l
ar
v
al
u
e
s
w
i
t
h
o
t
h
er
s
en
s
i
t
i
v
e
v
al
u
es
s
o
t
h
a
t
s
i
m
i
l
ar
i
t
y
at
t
ack
ca
n
b
e av
o
i
d
ed
.
A
t
t
h
e
s
a
m
e
t
i
m
e r
ep
eat
ed
va
l
ue
s
a
m
o
ng t
he
gr
o
up
s
a
r
e
f
o
u
nd
a
nd
s
uc
h va
l
ue
s
a
r
e
r
e
p
l
a
c
e
d
w
i
t
h s
ynt
he
t
i
c
va
l
ue
s
.
V
e
r
t
i
c
a
l
d
o
t
t
e
d
l
i
ne
s
i
n F
i
g
ur
e
4
s
ho
w
t
h
e e
x
ecu
t
i
o
n
o
n
d
i
f
f
er
en
t
n
o
d
es
i
n
d
i
s
t
r
i
b
u
t
ed
f
a
s
h
i
o
n
.
W
h
i
l
e t
u
p
l
es
ar
e an
o
n
y
m
i
zed
an
d
pu
bl
i
s
h
e
d on f
i
r
s
t
n
ode
,
s
e
c
o
n
d n
ode
w
i
l
l
be
us
e
d f
or
t
h
e
g
r
ou
p da
t
a
f
or
m
a
t
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on
a
n
d r
e
pl
a
c
e
m
e
n
t
of
s
i
m
i
l
a
r
v
a
lu
e
s
.
T
h
ir
d
n
o
d
e
w
ill
k
e
e
p
s
ta
tis
tic
d
a
ta
b
a
s
e
d
in
f
o
r
m
a
tio
n
l
o
s
s
d
ue
t
o
r
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p
l
a
c
e
d
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r
s
y
nt
he
t
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c
va
l
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s
i
n gr
o
up
.
D
o
m
ai
n
o
f
s
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n
s
i
t
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v
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v
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u
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co
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m
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d
t
h
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et
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f
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F
or
500 r
e
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50 g
r
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w
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L
=
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t
w
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r
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n
each
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s
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s
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50 un
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or
50000 g
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be
1000 t
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s
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n
di
f
f
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r
e
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s
.
T
o
a
vo
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hi
s
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p
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t
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n o
f
s
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ve
d
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m
a
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va
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n
t
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s
,
f
e
w
va
l
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s
c
a
n b
e
r
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p
l
a
c
e
d
w
i
t
h
s
y
n
t
h
et
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c
v
al
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es
.
T
h
e p
r
o
b
ab
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l
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t
y
o
f
d
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s
cl
o
s
u
r
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s
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cr
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f
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p
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titio
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o
f
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n
s
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v
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va
l
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s
i
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gr
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s
t
a
ke
s
p
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a
c
e
.
C
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a
t
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g gr
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o
f
c
o
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
20
88
-
8708
I
nt
J
E
l
e
c
&
C
o
m
p
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ng,
V
o
l.
8
, N
o
.
5
,
O
c
t
o
be
r
201
8
:
2
920
-
2925
2924
a
nd
f
i
nd
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g r
e
p
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s
i
m
i
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n gr
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up
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y s
ho
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t
t
i
m
e
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l
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ui
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xe
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hi
s
w
o
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k i
n
d
is
tr
ib
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te
d
o
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p
a
r
a
lle
l f
a
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n
.
5.
R
ES
U
LT
S
A
ND AN
AL
Y
S
I
S
F
o
r
p
r
o
ces
s
i
n
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i
g
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t
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i
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g
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at
a,
w
e h
a
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t
as
k
l
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i
s
m
a
n
d
d
at
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m
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ag
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f
l
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n
k da
t
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pr
oc
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s
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ng
e
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i
n
e
[
22]
.
I
t
s
u
ppor
t
s
f
or
pr
oc
e
s
s
i
ng
o
f
bi
g da
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a
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m
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s
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e
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l
a
s
ba
t
c
h
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e
s
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g
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l
i
nk
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a
l
s
o s
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t
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or
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pr
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e
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m
a
c
hi
ne
l
e
a
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n
g a
nd
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a
p
h
a
na
l
ys
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.
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a
b
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1
s
ho
w
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d
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h
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s
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e
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d
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n i
n t
he
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up
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a
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1
s
h
o
ws
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i
m
ila
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l
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s
f
or
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e
,
l
ep
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o
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ei
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S
i
m
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t
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t
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t
ai
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ed
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s
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n
g
d
i
f
f
er
en
t
m
eas
u
r
es
[
2
3
]
.
T
ab
l
e 1
.
S
im
i
la
r
it
y
V
a
l
ue
s
fo
r
D
i
ff
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re
n
t
G
ro
u
p
s
U
s
i
n
g
D
i
f
f
er
en
t
M
eas
u
r
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W
u &
P
a
l
m
e
r
,
P
a
t
h l
e
ngt
h,
J
i
a
ng
&
C
o
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na
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h,
C
o
nc
e
p
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n
ce an
d
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m
eas
u
r
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s
ed
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o
f
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d
t
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s
i
m
i
l
a
r
i
t
y o
f
va
l
ue
s
i
n t
he
gr
o
up
[
2
3
]
.
B
as
ed
o
n
th
o
s
e
m
e
a
s
u
r
e
s
,
to
a
v
o
id
s
i
m
ila
r
it
y
a
tta
c
k
s
i
m
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v
a
lu
e
can
b
e r
ep
l
aced
w
i
t
h
o
t
h
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v
a
l
u
e i
n
t
h
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t
g
r
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p
.
M
eas
u
r
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f
o
r
f
o
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r
g
r
o
u
p
s
w
i
t
h
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eal
s
en
s
i
t
i
v
e
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al
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s
d
en
g
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e,
l
ep
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o
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m
al
ar
i
a an
d
d
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p
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t
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i
a ar
e s
h
o
w
n
i
n
T
ab
l
e
1
.
F
i
g
u
r
e 5
s
h
o
w
s
g
r
ap
h
co
m
p
ar
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s
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f
o
r
s
im
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r
it
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o
f
t
h
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e
a
l
s
e
ns
i
t
i
ve
va
l
ue
w
i
t
h gr
o
up
va
l
ue
.
F
i
g
ur
e
5
.
G
r
a
p
h b
a
s
e
d
o
n s
i
m
i
l
a
r
i
t
y
i
n d
i
f
f
e
r
e
nt
gr
o
up
us
i
n
g
d
i
f
f
e
r
e
nt
m
e
a
s
ur
e
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nt
J
E
l
e
c
&
C
o
m
p
E
ng
I
S
S
N
:
2088
-
8708
F
ra
m
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wo
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v
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A
tta
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(
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h D
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)
2925
6.
CO
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a
l
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a
m
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r
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.
A
n
onym
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on
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l
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y
o
f
f
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m
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w
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s
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e
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c
ut
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n
.
R
EF
ER
EN
C
ES
[
1]
N
ug
r
a
ha
D
C
,
A
k
nur
a
nda
I
,
“
An
O
v
e
r
v
i
e
w o
f
e
-
H
e
a
l
t
h i
n I
ndone
s
i
a
: P
a
s
t a
n
d
P
r
e
s
e
n
t A
p
p
lic
a
tio
n
s
”,
I
nt
e
r
nat
i
o
na
l
J
our
n
al
o
f
E
l
e
c
t
r
i
c
al
an
d C
om
pu
t
e
r
E
ngi
ne
e
r
i
ng
,
20
17
O
c
t
1;
7(
5)
:
24
41
.
[
2]
A
boue
l
m
e
hdi
K
,
B
e
n
i
-
H
s
s
an
e A
,
K
h
al
o
u
f
i
H
,
S
aad
i
M
,
“
B
i
g
d
at
a s
ecu
r
i
t
y
an
d
p
r
iv
a
c
y
in
h
e
a
lth
c
a
r
e
: A
R
e
v
ie
w
”,
P
r
oc
e
di
a C
om
p
ut
e
r
Sc
i
e
nc
e
,
20
1
7
J
a
n 1;
11
3:
73
-
80
.
[
3]
P
u
r
i G
D
,
H
a
r
ith
a
D
,
“
S
u
r
ve
y b
i
g
d
a
t
a
an
al
y
t
i
cs
,
ap
pl
i
c
a
t
i
ons
a
nd
p
r
i
v
a
c
y
c
onc
e
r
ns
”,
I
ndi
a
n J
our
nal
of
Sc
i
e
nc
e
an
d
T
e
c
hnol
ogy
,
2
01
6 M
a
y
18;
9(
17)
.
[
4]
F
ung
B
,
W
a
ng
K
,
C
he
n R
,
Y
u
P
S
,
“
P
r
i
va
c
y
-
pr
e
s
e
r
v
i
ng
da
t
a
publ
i
s
hi
ng
:
A
s
ur
v
e
y
of
r
e
c
e
nt
de
v
e
l
opm
e
nt
s
”,
A
C
M
C
om
put
i
n
g S
ur
v
e
y
s
(
C
SU
R
)
,
201
0 J
u
n 1;
4
2(
4)
:
14
.
[
5]
G
k
o
u
l
al
as
-
D
i
v
a
ni
s
A
,
L
ouk
i
de
s
G
,
S
un J
,
“
P
u
bl
i
s
hi
ng
da
t
a
f
r
om
e
l
e
c
t
r
oni
c
he
a
l
t
h
r
e
c
or
ds
w
hi
l
e
pr
e
s
e
r
v
i
ng
pr
i
v
a
c
y
:
A
s
ur
v
e
y
of
a
l
g
or
i
t
hm
s
”,
J
our
nal
of
b
i
om
e
di
c
a
l
i
nf
or
m
at
i
c
s
,
2
01
4 A
ug
31;
5
0:
4
-
19
.
[
6]
J
en
s
en
M
,
“
C
ha
l
l
e
ng
e
s
of
pr
i
v
a
c
y
pr
o
te
c
tio
n
i
n
b
ig
d
a
ta
a
n
a
ly
tic
s
”,
I
nB
i
g D
at
a (
B
i
gD
at
a C
on
gr
e
s
s
)
,
201
3 I
E
E
E
I
nt
e
r
nat
i
o
nal
C
on
gr
e
s
s
,
2
01
3
J
u
n
27 (
p
p.
235
-
2
3
8
).
IE
E
E
.
[
7]
S
w
een
e
y
L
,
“
k
-
a
nony
m
i
t
y
:
A
m
ode
l
f
or
pr
ot
e
c
t
i
ng
pr
i
v
a
c
y
”,
I
nt
e
r
nat
i
on
al
J
o
ur
n
al
of
U
nc
e
r
t
ai
nt
y
,
F
uz
z
i
ne
s
s
a
n
d
K
now
l
e
d
ge
-
B
a
s
ed
S
ys
t
em
s
,
2
00
2 O
c
t
;
10(
05)
:
55
7
-
70
.
[
8]
M
ach
an
av
aj
j
h
al
a A
,
G
eh
r
k
e J
,
K
i
f
er
D
,
V
en
k
i
t
as
u
b
r
am
an
i
a
m
M
,
“
l
-
d
iv
e
r
s
ity
: P
r
iv
a
c
y
b
e
y
o
n
d
k
-
a
nony
m
i
t
y
”,
In
D
at
a
E
n
gi
ne
e
r
i
n
g,
20
06.
I
C
D
E
'
06.
P
r
oc
e
e
di
n
gs
of
t
he
2
2n
d I
nt
e
r
nat
i
o
nal
C
o
nf
e
r
e
nc
e
,
20
06
A
pr
3
(
p
p.
24
-
2
4
)
.
I
E
E
E
.
[
9]
L
i
N
,
L
i
T
,
V
en
k
at
as
u
b
r
am
an
i
an
S
,
“
t
-
c
l
os
e
ne
s
s
:
P
r
i
v
a
c
y
be
y
ond k
-
a
no
ny
m
i
t
y
a
nd l
-
d
iv
e
r
s
ity
”,
In
D
a
t
a
E
ngi
ne
e
r
i
ng,
2
00
7.
I
C
D
E
20
07
.
I
E
E
E
2
3r
d I
nt
e
r
n
at
i
o
na
l
C
o
nf
e
r
e
n
c
e
,
200
7 A
pr
1
5 (
pp.
1
06
-
1
1
5
).
IE
E
E
.
[
1
0]
K
i
m
S
,
S
ung
M
K
,
C
hung
Y
D
,
“
A
f
r
a
m
e
w
or
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t
o pr
e
s
e
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ve
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r
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y o
f
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ect
r
o
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i
c h
eal
t
h
d
at
a s
t
r
ea
m
s
”,
J
our
nal
of
b
io
m
e
d
ic
a
l i
n
fo
r
m
a
tic
s
,
2
01
4 A
ug
31;
50:
95
-
10
6
.
[
1
1]
P
u
r
i G
D
,
H
a
r
ith
a
D
,
“
A
F
r
a
m
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w
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k
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c D
at
a S
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ar
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el
A
r
ch
i
t
ect
u
r
e
”,
I
nt
e
r
n
at
i
o
nal
J
our
n
al
of
C
ont
r
ol
T
he
or
y
a
n
d A
p
pl
i
c
a
t
i
o
ns
,
20
17:
10(
6)
:
5
27
-
535
.
[
1
2]
K
hok
h
a
r RH
,
Ch
e
n
R
,
F
u
n
g
BC,
L
u
i
S
M
,
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ua
nt
i
f
y
i
ng
t
he
c
os
t
s
a
nd be
ne
f
i
t
s
of
pr
i
v
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y
-
pr
es
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v
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n
g
h
eal
t
h
d
at
a
pub
l
i
s
hi
ng
”
,
J
our
n
al
of
bi
om
e
di
c
al
i
nf
or
m
a
t
i
c
s
,
2
01
4 A
ug
31;
5
0:
107
-
21
.
[
1
3]
L
u
R
, Z
h
u
H
, L
i
u
X
,
L
i
u
JK,
S
h
a
o
J
,
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T
o
w
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d e
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f
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c
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nd pr
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ig
d
a
ta
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E
E
E
Ne
t
wo
r
k
.
20
14
J
ul
;
28(
4)
:
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-
50
.
[
1
4]
X
u L
,
J
i
a
n
g C
,
W
a
n
g J
,
Y
u
a
n J
,
R
e
n
Y
,
“
I
nf
or
m
a
t
i
on s
e
c
ur
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n
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g
d
at
a:
p
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at
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n
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n
g
”,
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E
E
E
A
c
c
e
s
s
,
201
4;
2:
11
49
-
76
.
[
1
5]
N
ar
d
e
lli M
,
“
A
F
r
am
e
w
o
r
k
f
o
r
D
at
a S
t
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ea
m
A
p
p
l
ic
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tio
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s
in
a
D
is
tr
ib
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te
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C
l
o
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d
”
,
In
Z
E
U
S
20
16 J
a
n
27
(
pp
.
5
6
-
63)
.
[
1
6]
C
h
o
i
JH,
P
a
r
k
J,
P
a
r
k
HD,
M
i
n
O
G
.
,
“
D
A
R
T
:
f
a
s
t a
n
d
e
f
f
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c
ie
n
t d
is
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u
te
d
s
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e
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m
p
r
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c
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s
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ra
m
e
w
o
rk
f
o
r
in
te
r
n
e
t o
f
th
in
g
s
”
,
E
T
R
I
J
our
nal
,
20
17
A
pr
1;
3
9(
2)
:
20
2
-
12
.
[
1
7]
Hwa
n
g
JH,
B
a
l
a
z
i
n
sk
a
M
,
R
a
si
n
A
,
“
C
e
tin
te
m
e
l U
,
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to
n
e
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r
a
k
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r
M
,
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o
n
ik
S
.
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ig
h
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ila
b
ility
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o
r
ith
m
s
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d
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u
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d
s
tr
e
a
m
p
r
o
c
e
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s
in
g
”,
I
nD
at
a E
ngi
ne
e
r
i
ng
,
20
05
.
I
C
D
E
200
5.
P
r
oc
e
e
di
ngs
.
21s
t
I
nt
e
r
nat
i
on
al
C
o
n
f
er
en
ce
,
2
00
5 A
pr
5 (
pp
.
7
79
-
7
9
0
).
IE
E
E
.
[
1
8]
K
a
m
bur
ug
a
m
uve
S
,
F
ox
G
,
L
e
a
k
e
D
,
Q
i
u J
,
“
S
ur
v
e
y
o
f
di
s
t
r
i
bu
t
e
d s
t
r
e
a
m
pr
oc
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s
s
i
ng
f
or
l
a
r
g
e
s
t
r
e
a
m
s
our
c
e
s
”,
T
ech
n
i
ca
l
r
ep
o
r
t
,
20
13
D
e
c
14
.
[
1
9]
Er
r
ita
li M
,
B
e
n
i
-
H
s
s
an
e
A
,
B
i
r
j
al
i
M
,
M
ad
an
i
Y
,
“
A
n
A
ppr
o
a
c
h of
S
e
m
a
nt
i
c
S
i
m
i
l
a
r
i
t
y
M
e
a
s
ur
e
be
t
w
een
D
oc
um
e
nt
s
B
a
s
e
d on B
i
g
D
a
t
a
”,
I
nt
e
r
nat
i
o
nal
J
o
ur
na
l
of
E
l
e
c
t
r
i
c
al
an
d C
om
p
ut
e
r
E
ng
i
ne
e
r
i
ng
,
2
016 O
c
t
1;
6
(5
):
245
4
.
[
2
0]
N
ai
r
L
R
,
S
h
et
t
y
S
D
,
S
h
et
t
y
S
D
,
“
S
tr
e
a
m
in
g
B
ig
D
a
ta
A
n
a
ly
s
is
f
o
r
R
e
a
l
-
T
i
m
e
S
en
t
i
m
en
t
b
as
ed
T
ar
g
et
ed
A
d
v
e
r
tis
in
g
”,
I
nt
e
r
nat
i
o
nal
J
our
n
al
o
f Ele
c
tr
ic
a
l
a
n
d
C
o
m
p
u
te
r
En
g
in
e
e
r
in
g
(
I
J
EC
E)
,
20
17
F
e
b 1;
7
(1
):
40
2
-
7
.
[
2
1]
X
i
ao
X
,
T
ao
Y
,
“
A
n
at
o
m
y
:
S
i
m
p
l
e an
d
e
f
f
ect
i
v
e p
r
i
v
ac
y
p
r
es
er
v
at
i
o
n
”,
In
P
r
oc
e
e
di
n
gs
o
f
t
he
3
2
nd
i
nt
e
r
n
at
i
on
al
c
onf
e
r
e
nc
e
on
V
e
r
y
l
ar
ge
dat
a b
a
s
e
s
,
200
6 S
e
p 1
(
p
p.
13
9
-
1
50)
.
V
L
D
B
E
ndow
m
e
nt
.
[
2
2]
C
a
r
bone
P
,
K
a
t
s
i
f
odi
m
os
A
,
E
w
e
n S
,
M
a
r
k
l
V
,
H
a
r
i
di
S
,
T
z
oum
a
s
K
.
A
pa
c
he
f
l
i
nk
:
S
t
r
e
a
m
a
nd
ba
t
c
h pr
oc
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s
s
i
ng
i
n
a
s
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e
e
ng
i
ne
.
B
ul
l
e
t
i
n
of
t
he
I
E
E
E
C
om
put
e
r
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oc
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y
T
e
c
hni
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l
C
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m
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t
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on D
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t
a
E
ng
i
ne
e
r
i
ng
.
201
5;
3
6(
4)
.
[
2
3]
M
c
I
nne
s
B
T
,
P
e
de
r
s
e
n T
,
P
a
k
hom
ov
S
V
,
“
U
M
LS
-
I
n
t
er
f
ace an
d
U
M
L
S
-
S
i
m
i
l
a
r
i
t
y
:
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n s
o
ur
c
e
s
of
t
w
a
r
e
f
or
m
e
a
s
ur
i
ng
pa
t
hs
a
nd s
e
m
a
n
tic
s
i
m
ila
r
it
y
”
,
In
A
M
I
A
A
nnua
l
Sy
m
pos
i
um
P
r
oc
e
e
di
ngs
2
00
9 (
V
ol
.
200
9,
p.
4
31
)
.
A
m
er
i
can
M
ed
i
cal
I
n
f
o
r
m
at
i
cs
A
s
s
o
ci
at
i
o
n
.
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