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e
h
a
n
d
led
w
it
h
t
h
e
tr
ad
itio
n
al
m
a
n
ag
e
m
en
t
m
e
th
o
d
s
a
n
d
en
h
a
n
ce
d
th
e
lear
n
in
g
a
n
d
teac
h
in
g
e
x
p
er
ien
ce
s
.
A
l
s
o
,
to
p
r
o
v
id
e
r
esear
ch
er
s
,
s
tu
d
en
ts
,
an
d
o
th
er
b
ig
d
ata
f
an
s
a
p
h
y
s
ical
p
o
w
er
f
u
l to
o
l th
at
s
u
p
p
o
r
ts
th
eir
p
r
o
j
ec
ts
.
T
h
e
p
ap
er
is
o
r
g
an
ized
as
f
o
llo
w
s
.
Sectio
n
2
d
is
c
u
s
s
e
s
th
e
r
el
ated
w
o
r
k
s
o
f
u
s
in
g
b
ig
d
ata
in
th
e
ed
u
ca
t
io
n
s
ec
to
r
.
Sectio
n
3
d
escr
ib
es
th
e
Uo
K
p
er
s
p
e
ctiv
e
o
f
b
ig
ed
u
ca
tio
n
al
d
ata.
Sectio
n
4
e
x
p
lain
s
th
e
Had
o
o
p
2
.
X
f
r
am
e
w
o
r
k
.
T
h
e
p
r
o
p
o
s
ed
a
r
ch
itectu
r
e
h
ar
d
w
ar
e
an
d
s
o
f
t
w
a
r
e
co
m
p
o
n
e
n
ts
ar
e
ex
p
lai
n
ed
in
S
ec
tio
n
5
.
Fi
n
all
y
,
t
h
e
co
n
c
l
u
s
io
n
s
ec
t
io
n
s
u
m
m
ar
ized
th
e
k
e
y
f
in
d
i
n
g
o
f
th
e
p
ap
er
a
n
d
d
is
cu
s
s
ed
f
u
tu
r
e
w
o
r
k
s
.
2.
RE
L
AT
E
D
WO
RK
S
C
u
r
r
en
tl
y
,
th
e
o
n
li
n
e
e
-
lear
n
i
n
g
to
o
ls
s
u
c
h
as
o
n
li
n
e
c
h
ats,
d
is
cu
s
s
io
n
f
o
r
u
m
s
,
te
x
t
m
es
s
ag
es,
d
ig
ita
l
n
o
tes,
an
d
v
ar
io
u
s
L
ea
r
n
i
n
g
Ma
n
ag
e
m
e
n
t
S
y
s
te
m
s
(
L
MS)
lik
e
Mo
o
d
le
an
d
B
lack
b
o
ar
d
h
as
b
ec
o
m
e
m
o
r
e
d
esira
b
le
b
y
t
h
e
u
s
er
s
as t
h
ese
to
o
ls
i
m
p
r
o
v
e
th
e
tr
ad
itio
n
al
l
ea
r
n
in
g
p
r
o
ce
s
s
b
y
m
ak
i
n
g
th
e
lear
n
in
g
r
eso
u
r
ce
s
av
ailab
le
a
n
y
ti
m
e
a
n
d
an
y
w
h
e
r
e
th
r
o
u
g
h
t
h
e
i
n
ter
n
e
t.
Us
in
g
th
ese
o
n
li
n
e
s
er
v
ice
s
p
r
o
d
u
ce
d
a
m
ass
iv
e
a
m
o
u
n
t
o
f
d
ata
an
n
u
all
y
.
R
e
s
ea
r
ch
b
y
[
5
]
n
o
ted
t
h
at
i
n
2
0
0
5
th
e
d
ata
s
ize
w
a
s
ap
p
r
o
x
i
m
ate
l
y
1
3
0
E
x
ab
y
te
an
d
i
s
s
u
p
p
o
s
ed
to
r
ea
ch
4
0
,
0
0
0
E
x
ab
y
te
ac
co
r
d
in
g
to
s
tati
s
tics
m
a
d
e
b
y
th
e
d
i
g
ital
u
n
i
v
er
s
e.
T
h
e
s
ize
o
f
d
ata
m
ad
e
ap
p
licab
le
in
th
e
ab
o
v
e
s
ce
n
ar
io
s
is
s
o
tr
e
m
e
n
d
o
u
s
th
a
t
tr
ad
itio
n
al
p
r
o
ce
s
s
i
n
g
tech
n
iq
u
es
c
an
n
o
t
b
e
d
ep
lo
y
ed
to
p
r
o
ce
s
s
th
e
m
.
D
u
e
to
th
e
lack
o
f
co
n
v
e
n
tio
n
a
l
d
ata
p
r
o
ce
s
s
i
n
g
ap
p
licatio
n
s
,
th
e
ac
ad
e
m
ic
in
s
tit
u
tio
n
s
h
a
v
e
s
tar
ted
r
esear
ch
in
g
B
ig
Data
t
ec
h
n
o
lo
g
ies
to
p
r
o
ce
s
s
e
d
u
ca
tio
n
al
d
ata.
B
ig
Data
to
o
ls
ca
n
p
lay
a
v
i
tal
r
o
le
in
ed
u
ca
tio
n
al
i
n
s
t
itu
t
io
n
s
b
ec
a
u
s
e
it f
ac
ilit
ate
s
t
h
e
p
r
o
ce
s
s
o
f
s
t
o
r
in
g
an
d
r
etr
iev
in
g
i
n
f
o
r
m
ati
o
n
[
2
]
.
A
cc
o
r
d
in
g
to
[
6
]
,
in
th
e
s
u
cc
ess
f
u
l
ac
ad
e
m
ic
in
s
tit
u
tio
n
s
,
B
i
g
d
ata
ca
n
b
e
a
p
p
lied
to
cr
ea
te
th
e
co
m
p
letio
n
a
n
d
o
u
tp
lace
m
en
t
cu
lt
u
r
e,
r
ed
u
ce
u
n
p
r
o
d
u
cti
v
e
cr
ed
its
,
r
ed
esig
n
t
h
e
in
s
tr
u
ctio
n
s
d
eliv
er
y
,
co
r
e
s
er
v
ices
th
at
i
n
cl
u
d
e
h
u
m
an
r
eso
u
r
ce
s
,
ac
ad
e
m
ic
s
er
v
ices,
an
d
f
i
n
an
ce
,
a
n
d
o
p
tim
iz
e
th
e
o
p
er
atio
n
s
an
d
o
th
er
f
u
n
ctio
n
s
.
F
u
r
t
h
er
m
o
r
e,
th
is
ar
ticle
[
6
]
s
ta
ted
th
a
t
ap
p
ly
in
g
d
ata
m
in
i
n
g
co
n
ce
p
ts
o
n
th
e
s
to
r
ed
d
ata
ar
e
b
ases
f
o
r
f
u
tu
r
e
ac
ti
v
it
ies
a
s
s
o
ciate
d
w
ith
h
i
g
h
er
ed
u
ca
ti
o
n
o
r
g
an
iza
tio
n
s
.
Als
o
,
D
u
e
to
th
e
i
n
cr
ea
s
i
n
g
d
em
a
n
d
s
o
n
th
e
b
ig
a
n
d
co
m
p
lex
d
ata
an
al
y
s
i
s
,
m
an
y
r
esear
ch
er
s
b
ec
o
m
e
in
ter
este
d
in
t
h
e
f
ield
o
f
d
ata
m
i
n
in
g
[
5
]
.
Ho
w
e
v
er
,
th
e
Mc
Kin
s
e
y
r
ep
o
r
t
s
h
o
w
s
th
at
th
e
h
ig
h
er
ed
u
ca
tio
n
s
ec
to
r
r
ep
r
es
en
ted
th
e
p
o
w
er
-
less
lin
k
a
m
o
n
g
all
t
h
e
ar
ea
s
o
f
i
n
d
u
s
tr
y
in
ca
p
t
u
r
in
g
d
ata
[
6
]
.
Had
o
o
p
tech
n
iq
u
e
co
n
s
id
er
ed
as
o
n
e
o
f
th
e
s
o
l
u
tio
n
s
th
at
ca
n
o
v
er
co
m
e
p
r
o
b
le
m
s
r
elate
d
t
o
b
ig
d
at
a
in
m
a
n
y
ac
ad
e
m
ic
in
s
tit
u
tio
n
s
.
Fo
r
in
s
tan
ce
,
in
P
h
o
en
ix
Un
i
v
er
s
it
y
(
P
U)
th
er
e
is
an
i
s
s
u
e
o
f
th
e
m
a
s
s
i
v
e
v
o
lu
m
e
o
f
d
ata
s
u
ch
a
s
t
h
e
d
ata
g
e
n
er
ated
b
y
d
is
cu
s
s
io
n
f
o
r
u
m
s
,
t
h
e
y
u
s
ed
Had
o
o
p
to
d
ea
l
w
it
h
t
h
at
i
s
s
u
e.
T
o
p
o
in
t
o
u
t
t
h
e
p
r
o
b
le
m
s
in
P
U,
Had
o
o
p
m
ai
n
l
y
s
o
l
v
ed
t
h
e
m
w
er
e
as
f
o
llo
w
s
:
f
ir
s
t
l
y
,
th
e
d
ig
es
tio
n
o
f
lar
g
e
d
atasets
s
u
ch
as
(
d
is
cu
s
s
io
n
f
o
r
m
d
ata,
w
eb
u
s
ag
e
lo
g
s
)
.
Seco
n
d
l
y
,
d
ata
an
al
y
s
is
f
o
r
u
n
s
tr
u
ct
u
r
ed
d
ata
b
y
r
u
n
n
i
n
g
a
s
er
ie
s
o
f
s
cr
ip
ts
[
7
].
Fu
r
t
h
er
m
o
r
e,
No
ttin
g
h
a
m
T
r
en
t
U
n
i
v
er
s
it
y
u
s
ed
b
ig
d
ata
co
n
ce
p
t
to
m
ea
s
u
r
e
f
o
u
r
as
p
ec
ts
th
a
t
in
d
icate
s
tu
d
e
n
t
e
n
g
ag
e
m
e
n
t
w
h
ic
h
i
n
cl
u
d
es
s
w
ip
i
n
g
I
D
c
ar
d
in
to
b
u
i
ld
in
g
s
,
u
s
in
g
th
e
lib
r
ar
y
,
a
n
d
v
ir
t
u
al
lear
n
in
g
e
n
v
ir
o
n
m
e
n
t
u
s
i
n
g
el
ec
tr
o
n
ic
s
u
b
m
i
s
s
io
n
o
f
as
s
i
g
n
m
en
ts
.
T
h
e
y
f
o
u
n
d
th
at
a
q
u
a
r
ter
o
f
th
e
s
t
u
d
en
ts
h
av
e
lo
w
e
n
g
a
g
e
m
en
t le
v
el
s
d
ep
en
d
in
g
o
n
th
e
r
es
u
lt
s
o
f
ap
p
l
y
i
n
g
t
h
e
m
ea
s
u
r
e
m
e
n
t [
7
].
3.
P
E
RSP
E
CT
I
V
E
B
I
G
E
DUC
AT
I
O
NA
L
DA
T
A
I
N
Uo
K
I
n
t
h
e
ed
u
ca
tio
n
al
s
ec
to
r
,
a
m
as
s
i
v
e
a
m
o
u
n
t
o
f
d
ata
is
g
en
er
a
ted
ev
er
y
d
a
y
d
u
e
to
t
h
e
u
s
e
o
f
th
e
m
o
d
er
n
lear
n
in
g
tech
n
o
l
o
g
ies
s
u
ch
a
s
m
o
b
ile
ap
p
licatio
n
s
,
s
o
cial
m
ed
ia,
o
n
lin
e
m
an
ag
e
m
e
n
t
s
y
s
te
m
,
w
eb
r
eso
u
r
ce
s
,
L
MS
s
t
u
d
en
t
en
g
a
g
e
m
en
t
s
,
etc.
T
h
is
s
ec
t
io
n
w
ill
f
o
cu
s
o
n
ap
p
licatio
n
s
t
h
at
o
f
f
er
ed
b
y
th
e
Uo
K
f
o
r
t
h
eir
s
t
u
d
en
ts
,
e
m
p
lo
y
ee
s
,
a
n
d
lectu
r
er
s
.
U
s
in
g
th
e
f
o
llo
w
in
g
ap
p
licatio
n
s
w
il
l
g
e
n
er
ate
a
s
ig
n
i
f
ica
n
t a
m
o
u
n
t o
f
d
ata
th
at
ca
n
n
o
t b
e
h
a
n
d
led
w
it
h
tr
ad
iti
o
n
al
m
a
n
ag
e
m
e
n
t so
f
t
w
ar
e
i
n
th
e
n
ea
r
f
u
t
u
r
e.
3
.
1
.
E
-
l
ea
rning
’
s
d
a
t
a
Mo
s
t
o
f
th
e
e
-
lear
n
i
n
g
d
ata
ar
e
g
en
er
ated
f
r
o
m
th
e
o
n
l
in
e
le
ar
n
i
n
g
r
eso
u
r
ce
s
an
d
t
h
e
u
s
e
of
th
e
v
ir
tu
a
l
lear
n
in
g
e
n
v
ir
o
n
m
en
t.
T
h
e
Uo
K
p
r
o
v
id
es
a
n
e
-
lear
n
in
g
p
lat
f
o
r
m
b
a
s
ed
o
n
Mo
o
d
le
f
o
r
t
h
eir
s
tu
d
e
n
ts
.
No
t
o
n
l
y
t
h
at
b
u
t
al
s
o
Uo
K
la
u
n
c
h
ed
n
e
w
d
is
ta
n
ce
lear
n
i
n
g
p
r
o
j
ec
t
u
n
d
er
Mo
o
d
le
co
r
e
to
s
er
v
e
co
m
m
u
n
it
y
lear
n
in
g
d
e
m
a
n
d
s
,
th
e
p
r
o
j
ec
t
ca
lled
Ku
f
a
Op
e
n
O
n
li
n
e
C
o
u
r
s
es
KOO
C
,
it
i
s
m
o
s
tl
y
d
ep
en
d
i
n
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
6
,
Dec
em
b
er
201
9
:
4
9
7
0
-
4
9
7
8
4972
o
n
s
tr
ea
m
i
n
g
s
h
o
r
t
v
id
eo
s
to
t
h
e
p
u
b
lic
i
n
v
ar
io
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s
to
p
ics
in
o
r
d
er
to
s
u
p
p
o
r
t
s
elf
-
lear
n
in
g
an
d
en
r
ic
h
A
r
ab
ic
lear
n
in
g
r
eso
u
r
ce
s
o
n
th
e
i
n
ter
n
et.
A
cc
o
r
d
in
g
to
e
-
lear
n
i
n
g
s
er
v
er
s
tatis
tic
s
as
s
ee
n
in
F
i
g
u
r
e
1
[
8
]
,
th
e
n
u
m
b
er
o
f
co
u
r
s
e
s
an
d
r
eso
u
r
ce
s
g
en
er
ated
o
n
t
h
at
p
latf
o
r
m
in
cr
ea
s
i
n
g
e
v
er
y
y
ea
r
d
u
e
to
u
n
i
v
er
s
it
y
v
ie
w
a
n
d
m
is
s
io
n
.
T
h
is
v
ir
t
u
al
en
v
ir
o
n
m
e
n
t
en
ab
le
s
b
o
th
s
t
u
d
en
ts
a
n
d
lect
u
r
er
s
to
ex
c
h
a
n
g
e
in
f
o
r
m
at
io
n
,
a
s
k
q
u
e
s
tio
n
s
,
u
s
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n
g
t
h
e
d
i
s
cu
s
s
io
n
b
o
ar
d
an
d
u
p
lo
ad
f
iles
.
A
n
al
y
zin
g
t
h
i
s
d
ata
w
i
ll
h
elp
t
h
e
o
r
g
an
iza
tio
n
's
ad
m
i
n
is
tr
ato
r
to
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n
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er
s
ta
n
d
h
o
w
to
en
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ich
t
h
e
p
u
b
lics
’
an
d
s
tu
d
en
ts
’
lear
n
i
n
g
ex
p
er
ien
ce
as
w
ell
as
ac
t
u
p
o
n
th
e
u
n
e
x
p
ec
ted
s
itu
atio
n
a
n
d
i
m
p
r
o
v
e
it.
Fig
u
r
e
1
.
E
-
lear
n
i
n
g
s
er
v
er
s
ta
tis
tics
[
8
]
3
.
2
.
Net
w
o
rk
s
er
v
er
s
’
d
a
t
a
T
h
e
n
et
w
o
r
k
a
n
d
i
n
ter
n
et
s
er
v
ices
s
er
v
e
m
o
r
e
th
a
n
3
5
0
0
e
m
p
lo
y
ee
an
d
6
5
0
0
0
s
t
u
d
en
ts
,
u
s
er
in
ter
ac
tio
n
s
w
it
h
th
ese
s
er
v
ice
s
w
i
ll
d
r
a
m
atica
ll
y
g
e
n
er
ate
lo
g
s
,
f
i
les,
r
ep
o
r
ts
,
etc.
o
n
a
d
ail
y
b
as
is
.
T
h
er
ef
o
r
e,
a
h
u
g
e
a
m
o
u
n
t
o
f
d
ata
w
i
ll
b
e
r
ea
d
y
eit
h
er
q
u
ic
k
l
y
m
an
a
g
e
d
,
p
r
o
ce
s
s
ed
an
d
s
to
r
ed
o
r
d
el
eted
d
u
e
to
lack
o
f
k
n
o
w
led
g
e
o
f
d
ea
li
n
g
w
it
h
r
a
w
B
i
g
Data
.
I
n
s
u
m
m
er
2
0
1
8
,
Uo
K
is
co
n
s
id
er
ed
n
e
w
n
e
t
w
o
r
k
s
y
s
te
m
w
i
th
th
e
m
o
r
e
f
le
x
ib
le
s
etti
n
g
to
co
n
n
ec
t
an
d
m
o
n
ito
r
u
s
er
s
to
t
h
e
s
er
v
ice
s
,
th
er
e
f
o
r
e,
m
a
n
y
lo
g
s
,
r
ep
o
r
ts
,
an
d
f
ile
s
w
il
l
b
e
g
en
er
ated
,
an
d
th
en
t
h
e
m
o
r
e
n
et
w
o
r
k
’
s
f
iles
ar
e
g
en
er
ated
,
th
e
d
ee
p
er
k
n
o
w
le
d
g
e
is
d
r
iv
en
ab
o
u
t
Uo
K’
s
n
et
w
o
r
k
.
3
.
3
.
Web
s
er
v
er
’
s
da
t
a
T
h
e
u
n
i
v
er
s
it
y
p
r
o
v
id
e
s
m
a
n
y
w
eb
s
ites
co
v
er
s
its
ac
ti
v
it
ie
s
,
n
e
w
s
,
a
n
d
ev
en
ts
.
A
ls
o
,
ea
ch
f
ac
u
lt
y
m
e
m
b
er
h
as
it
s
o
w
n
w
eb
s
ite
w
h
er
e
s
/
h
e
p
u
b
lis
h
es
e
v
er
y
t
h
i
n
g
r
elate
d
s
u
ch
a
s
ev
e
n
ts
a
n
d
o
th
er
d
ir
ec
tio
n
s
to
h
is
s
t
u
d
en
t
s
.
W
ith
m
o
r
e
th
a
n
1
6
0
0
0
w
eb
s
ites
f
o
r
t
h
e
teac
h
i
n
g
s
ta
f
f
th
a
t
co
n
tai
n
s
i
m
p
o
r
ta
n
t
i
n
f
o
r
m
atio
n
s
u
ch
as
C
u
r
r
icu
l
u
m
Vitae,
co
n
tact
in
f
o
r
m
atio
n
,
lectu
r
es
,
a
n
d
p
u
b
lis
h
ed
r
esear
c
h
es.
As
a
r
es
u
lt,
a
h
u
g
e
a
m
o
u
n
t
o
f
d
ata
r
elate
d
to
th
o
s
e
w
eb
s
ite
s
ac
tiv
ate
s
ar
e
cr
ea
ted
.
3
.
4
.
Wind
o
w
s
a
pp
lica
t
io
ns
’
da
t
a
A
ll
ad
m
i
n
i
s
tr
atio
n
a
n
d
m
a
n
a
g
e
m
e
n
t
s
o
f
t
w
ar
e
ar
e
d
ev
elo
p
ed
b
y
t
h
e
u
n
iv
er
s
it
y
’
s
p
r
o
g
r
am
m
er
s
a
n
d
th
at
s
o
f
t
w
ar
e
b
asicall
y
w
o
r
k
in
t
w
o
w
a
y
s
ei
th
er
lo
ca
ll
y
o
n
u
s
er
co
m
p
u
ter
o
r
o
n
a
s
er
v
e
r
th
at
co
n
n
ec
ted
to
th
e
u
n
i
v
er
s
i
t
y
in
tr
a
n
et.
T
h
is
o
l
d
-
f
a
s
h
io
n
tec
h
n
iq
u
e
p
r
ev
e
n
ts
d
ata
to
g
et
b
ig
g
er
b
ec
au
s
e
s
i
m
p
ly
th
er
e
is
n
o
h
ar
d
d
is
k
s
p
ac
e
f
o
r
it
an
d
th
er
e
i
s
n
o
p
er
s
p
ec
tiv
e
v
ie
w
s
tr
ate
g
y
o
n
d
ata.
Data
s
h
o
u
ld
b
e
lev
er
ag
ed
in
t
h
e
r
ig
h
t
w
a
y
in
o
r
d
er
to
g
et
m
ea
n
i
n
g
f
u
l i
n
f
o
r
m
at
io
n
o
u
t o
f
i
t a
n
d
th
is
is
w
h
at
f
u
l
l B
ig
Data
s
y
s
te
m
d
o
es.
3
.
5
.
Stude
nts i
nfo
r
m
a
t
io
n sy
s
t
e
m’s da
t
a
T
h
e
SIS
is
a
lo
ca
l
ap
p
licatio
n
s
er
v
er
u
s
ed
to
r
eg
i
s
ter
an
d
m
a
n
ag
e
s
t
u
d
en
t
s
’
d
ata
d
u
r
i
n
g
t
h
eir
li
f
e
s
tu
d
y
at
Uo
K.
SIS’
s
d
ata
ac
cu
m
u
late
all
p
o
s
s
ib
le
s
t
u
d
en
ts
’
d
ata
s
u
c
h
as
p
er
s
o
n
al
in
f
o
r
m
at
io
n
,
i
m
a
g
es,
u
p
lo
ad
ed
f
iles
,
I
D
ca
r
d
,
o
f
f
ici
al
d
o
cu
m
e
n
ts
,
a
n
d
ac
ad
e
m
ic
r
ec
o
r
d
s
.
C
u
r
r
en
tl
y
,
a
t
th
e
ti
m
e
o
f
w
r
i
tin
g
t
h
is
p
ap
er
an
d
ac
co
r
d
in
g
to
U
o
K
m
a
in
w
eb
s
i
te,
m
o
r
e
th
a
n
6
5
2
5
0
s
tu
d
en
ts
ar
e
r
eg
i
s
ter
ed
in
t
h
e
s
y
s
te
m
a
n
d
th
i
s
n
u
m
b
er
in
cr
ea
s
i
n
g
ar
o
u
n
d
6
0
0
0
s
tu
d
en
ts
y
ea
r
l
y
.
He
n
ce
,
t
h
e
Uo
K
n
ee
d
s
an
i
n
tel
lig
e
n
t
s
o
lu
tio
n
a
n
d
to
b
e
r
ea
d
y
f
o
r
d
ea
lin
g
w
i
th
B
i
g
Data
co
m
i
n
g
u
p
in
th
e
n
ea
r
f
u
t
u
r
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N:
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ig
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4973
3
.
6
.
Da
t
a
s
et
s
re
p
o
s
it
o
ry
f
o
r
re
s
ea
rc
hers
I
n
Uo
K,
d
ata
g
ettin
g
b
ig
g
er
e
v
er
y
d
a
y
a
n
d
th
er
e
is
n
o
clea
r
v
is
io
n
o
n
t
h
e
d
ata.
A
ca
d
e
m
ic
r
esear
ch
er
an
d
s
ch
o
lar
m
u
s
t
g
et
s
a
f
e
an
d
ea
s
y
ac
ce
s
s
p
lace
f
o
r
th
e
ir
B
ig
Data
s
et
s
to
d
o
th
eir
r
esear
ch
w
o
r
k
an
d
s
a
v
e
b
ac
k
th
e
r
es
u
lt
s
,
th
u
s
,
a
r
eliab
l
e
s
to
r
ag
e
p
lace
w
ill b
e
b
en
e
f
ic
ial
to
o
th
er
s
ch
o
lar
s
to
k
ee
p
wo
r
k
in
g
o
n
t
h
e
s
a
m
e
d
atasets
w
it
h
i
n
d
ef
er
e
n
t
r
ese
ar
ch
ap
p
r
o
ac
h
.
A
l
s
o
,
g
r
o
u
p
i
n
g
B
i
g
Data
s
ets
o
n
t
h
e
s
a
m
e
d
is
k
s
p
ac
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w
i
ll
en
co
u
r
ag
e
r
esear
c
h
er
s
to
p
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o
p
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s
e
s
o
lu
tio
n
s
b
ased
o
n
g
iv
e
n
p
r
o
b
lem
s
.
A
s
a
r
esu
l
t,
o
u
r
p
r
o
p
o
s
ed
w
o
r
k
w
il
l
b
e
th
e
b
est p
lace
f
o
r
th
o
s
e
w
h
o
ar
e
d
ea
lin
g
w
it
h
B
ig
Da
ta
s
ets.
4.
H
ADO
O
P
2
.
X
Had
o
o
p
is
an
o
p
en
-
s
o
u
r
ce
f
r
a
m
e
w
o
r
k
f
o
u
n
d
ed
b
y
A
p
ac
h
e
f
o
u
n
d
atio
n
,
a
n
d
i
t
i
s
u
s
ed
f
o
r
s
to
r
in
g
a
m
as
s
i
v
e
a
m
o
u
n
t
o
f
d
ata
[
4
]
a
n
d
r
u
n
n
in
g
an
al
y
s
is
ap
p
licatio
n
s
ac
r
o
s
s
a
s
et
o
f
n
o
d
es
w
h
ic
h
b
u
il
d
o
n
ch
ea
p
l
y
p
r
iced
h
ar
d
w
ar
e
[
9
]
.
I
t
o
f
f
er
s
a
m
as
s
i
v
e
tech
n
iq
u
e
o
f
s
to
r
a
g
e
f
o
r
an
y
t
y
p
e
o
f
d
ata,
tr
e
m
en
d
o
u
s
p
r
o
ce
s
s
in
g
ca
p
ab
ilit
y
,
an
d
t
h
e
co
m
p
e
ten
ce
to
h
a
n
d
le
v
ir
t
u
all
y
u
n
li
m
it
ed
co
n
cu
r
r
en
t
j
o
b
s
o
r
task
s
.
T
h
e
n
e
w
v
er
s
io
n
o
f
Had
o
o
p
2
.
x
m
a
in
l
y
ca
m
e
u
p
with
t
h
r
ee
p
ar
ts
[
10
]:
a.
HDFS is
a
d
is
tr
ib
u
ted
f
i
le
s
y
s
t
e
m
th
a
t h
a
n
d
les lar
g
e
d
ata
s
et
s
r
u
n
n
in
g
o
n
co
m
m
o
d
it
y
h
ar
d
war
e.
b.
Ma
p
R
ed
u
ce
is
t
h
e
h
ea
r
t
o
f
Ha
d
o
o
p
an
d
a
p
r
o
g
r
am
m
i
n
g
p
ar
ad
ig
m
t
h
at
e
n
ab
les
m
as
s
i
v
e
s
ca
lab
ilit
y
ac
r
o
s
s
h
u
n
d
r
ed
s
o
r
th
o
u
s
a
n
d
s
o
f
s
er
v
er
s
in
a
clu
s
ter
.
c.
YARN
i
s
o
n
e
o
f
t
h
e
co
r
e
c
o
m
p
o
n
en
t
s
a
n
d
r
eso
u
r
ce
m
a
n
ag
e
m
e
n
t
a
n
d
j
o
b
s
ch
ed
u
li
n
g
tec
h
n
o
lo
g
y
in
Had
o
o
p
.
I
t
is
r
esp
o
n
s
ib
le
f
o
r
allo
ca
tin
g
s
y
s
te
m
r
eso
u
r
ce
s
to
th
e
v
ar
io
u
s
ap
p
licatio
n
s
r
u
n
n
i
n
g
in
a
Had
o
o
p
clu
s
ter
a
n
d
s
ch
ed
u
li
n
g
ta
s
k
s
to
b
e
ex
ec
u
ted
o
n
d
if
f
er
en
t c
l
u
s
t
er
n
o
d
es.
4
.
1
.
Why
is
h
a
do
o
p i
m
po
rt
a
nt?
Du
e
to
th
e
r
ap
id
in
cr
ea
s
e
o
f
d
ata
s
ize
in
s
o
cial
m
ed
ia
a
n
d
th
e
i
n
ter
n
et
o
f
t
h
i
n
g
s
(
I
o
T
)
,
Had
o
o
p
co
n
s
id
er
s
as
a
s
o
lu
t
io
n
t
h
at
ca
n
s
to
r
e
a
v
ast
a
m
o
u
n
t
o
f
d
if
f
e
r
en
t
t
y
p
e
o
f
d
ata
an
d
p
r
o
ce
s
s
it
q
u
ick
l
y
.
Mo
r
e,
a
d
is
tr
ib
u
ted
co
m
p
u
ti
n
g
m
o
d
el
g
iv
e
s
Had
o
o
p
th
e
ab
ilit
y
to
p
r
o
ce
s
s
B
ig
Data
in
a
f
a
s
t
m
a
n
n
er
[
11
]
.
A
s
a
r
esu
lt,
u
s
i
n
g
a
d
is
tr
ib
u
ted
m
o
d
el
lea
d
s
to
a
m
o
r
e
p
o
w
er
f
u
l
p
r
o
ce
s
s
.
Fu
r
t
h
er
m
o
r
e,
Had
o
o
p
h
an
d
les
n
o
d
e
f
ail
u
r
e
i
n
t
h
e
clu
s
ter
ef
f
icie
n
tl
y
b
y
r
ed
ir
ec
tin
g
th
e
d
ata
to
th
e
o
th
e
r
w
o
r
k
i
n
g
n
o
d
e
an
d
r
ep
licate
th
e
d
ata
x
-
ti
m
e
s
au
to
m
at
icall
y
ac
co
r
d
in
g
to
t
h
e
s
y
s
te
m
s
ett
in
g
.
Mo
r
eo
v
er
,
f
l
ex
ib
ilit
y
,
s
ca
lab
ili
t
y
,
a
n
d
lo
w
co
s
t
m
a
k
e
Had
o
o
p
o
n
e
o
f
th
e
b
est o
p
en
-
s
o
u
r
ce
f
r
a
m
e
w
o
r
k
u
s
ed
t
o
an
al
y
ze
B
ig
Data
[
12
].
4
.
2
.
Da
t
a
t
ra
ns
po
rt
a
t
io
n
T
h
is
s
ec
tio
n
co
v
er
s
th
e
m
ai
n
s
o
f
t
w
ar
e
th
at
ca
n
p
u
s
h
w
h
at
ev
er
d
ata
w
e
h
av
e
to
t
h
e
Ha
d
o
o
p
Fil
e
S
y
s
te
m
(
HDFS)
f
o
r
f
u
t
u
r
e
p
r
o
ce
s
s
in
g
.
I
n
th
i
s
p
r
o
p
o
s
ed
m
o
d
el,
w
e
g
a
v
e
t
h
e
s
y
s
te
m
ad
m
i
n
is
tr
ato
r
s
m
u
ltip
l
e
w
a
y
s
to
h
a
n
d
le
d
ata
b
et
w
ee
n
l
o
ca
l sto
r
ag
e
an
d
HDFS
s
u
c
h
a
s
b
elo
w
[
11
]
.
4
.
2
.
1
.
Apa
che
f
lu
m
e
A
p
ac
h
e
Flu
m
e
is
a
s
er
v
ice
f
o
r
ef
f
icie
n
tl
y
co
llecti
n
g
,
ag
g
r
eg
atin
g
,
an
d
m
o
v
i
n
g
lar
g
e
a
m
o
u
n
ts
o
f
d
ata
to
HDFS.
I
t
is
r
eliab
le
an
d
d
is
tr
ib
u
ted
f
r
a
m
e
w
o
r
k
t
h
at
h
a
s
a
s
i
m
p
le
an
d
f
lex
ib
le
s
tr
u
ct
u
r
e
b
ased
o
n
s
tr
ea
m
in
g
d
ata
f
lo
w
s
.
I
t is r
o
b
u
s
t a
n
d
f
au
lts
to
ler
an
t
w
it
h
t
u
n
ab
le
r
eliab
i
lit
y
,
m
an
y
f
ailo
v
er
s
,
a
n
d
r
ec
o
v
er
y
m
ec
h
an
is
m
s
.
4
.
2
.
2
.
Apa
che
s
qo
o
p
A
p
ac
h
e
Sq
o
o
p
u
s
ed
to
m
o
v
e
s
tr
u
ct
u
r
ed
d
ata
f
r
o
m
lo
ca
ll
y
s
t
o
r
ed
SQL
d
atab
ases
in
to
HDF
S
in
o
r
d
er
to
b
e
in
g
ested
b
y
A
p
ac
h
e
HB
a
s
e
f
o
r
f
u
r
th
er
p
r
o
ce
s
s
i
n
g
[
1
3
]
.
T
h
u
s
,
all
th
e
ac
ad
e
m
ic
’
s
d
atab
ases
ca
n
b
e
li
n
k
ed
to
Sq
o
o
p
,
w
h
ic
h
ca
n
also
b
e
s
ch
ed
u
led
to
in
g
est d
ata
r
eg
u
lar
l
y
,
to
g
et
an
y
d
ata
u
p
d
ates.
4
.
3
.
Sa
v
ing
a
nd
pro
ce
s
s
ing
da
t
a
Flu
m
e,
Sq
o
o
p
o
r
o
th
er
f
r
a
m
e
w
o
r
k
s
th
at
tr
a
n
s
p
o
r
t
lo
ca
l
d
ata,
is
ch
o
p
p
in
g
an
d
s
to
r
i
n
g
d
ata
o
n
th
e
HDF
S.
Data
in
HDFS
i
s
s
ca
tter
ed
o
v
er
clu
s
ter
n
o
d
es
f
o
r
b
u
ilt
-
in
f
au
lt
to
ler
an
ce
.
HDFS
h
a
s
o
n
e
m
as
ter
n
o
d
e
(
n
a
m
e
n
o
d
e)
an
d
m
a
n
y
s
lav
e
n
o
d
es
(
d
ata
n
o
d
es)
an
d
th
at
n
o
d
es
r
esid
e
o
n
co
m
m
o
d
it
y
co
m
p
u
ter
s
an
d
ea
ch
n
o
d
e
o
f
f
er
s
lo
ca
l
s
to
r
ag
e
an
d
co
m
p
u
tat
io
n
[
11
]
.
T
h
e
n
a
m
e
n
o
d
e
s
to
r
es
m
etad
ata
w
h
er
ea
s
d
ata
n
o
d
es
s
to
r
es d
ata
b
lo
ck
s
.
Fig
u
r
e
2
[
4
,
1
4
]
s
h
o
w
s
t
h
e
b
asic H
ad
o
o
p
p
r
in
cip
les f
o
r
s
to
r
in
g
an
d
q
u
er
y
in
g
B
ig
Da
ta.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
6
,
Dec
em
b
er
201
9
:
4
9
7
0
-
4
9
7
8
4974
Fig
u
r
e
2
.
B
asic H
ad
o
o
p
p
r
in
ci
p
les f
o
r
s
to
r
i
n
g
an
d
q
u
er
y
in
g
B
ig
Data
[
4
,
1
4
]
4
.
3
.
1
.
Apa
che
H
B
a
s
e
I
t
is
a
co
lu
m
n
-
o
r
ien
ted
d
atab
ase
m
an
a
g
e
m
e
n
t
s
y
s
te
m
t
h
at
r
u
n
s
o
n
to
p
o
f
HDFS.
I
t
is
g
o
o
d
f
o
r
s
p
ar
s
e
d
ata
s
ets,
w
h
ic
h
ar
e
co
m
m
o
n
i
n
m
a
n
y
B
ig
Data
u
s
e
ca
s
e
s
.
H
B
ase
is
n
o
t li
k
e
a
r
elatio
n
al
d
a
tab
ase
an
d
d
o
es n
o
t
s
u
p
p
o
r
t
SQL
la
n
g
u
a
g
e.
HB
as
e
ap
p
licatio
n
s
ar
e
w
r
itte
n
in
J
av
a
an
d
s
u
p
p
o
r
t
w
r
iti
n
g
ap
p
licatio
n
s
i
n
Av
r
o
,
R
E
ST
,
an
d
T
h
r
if
t.
HB
ase
h
a
s
a
s
et
o
f
tab
les.
E
ac
h
tab
le
co
n
tain
s
r
o
w
s
a
n
d
co
lu
m
n
s
a
n
d
m
u
s
t
h
a
v
e
a
p
r
i
m
ar
y
k
e
y
.
T
h
is
k
e
y
u
s
ed
to
ac
ce
s
s
HB
ase
tab
les [
1
4
].
4
.
3
.
2
.
Apa
che
zo
o
k
ee
per
Z
o
o
k
ee
p
er
is
an
o
p
en
s
o
u
r
c
e
s
o
f
t
w
ar
e
th
at
p
r
o
v
id
es
ce
n
tr
alize
d
in
f
r
as
tr
u
ct
u
r
e
an
d
s
e
r
v
ices
t
h
at
en
ab
le
s
y
n
c
h
r
o
n
izat
io
n
ac
r
o
s
s
a
Had
o
o
p
clu
s
ter
.
I
t
m
ai
n
tai
n
s
s
h
ar
ed
o
b
j
ec
ts
r
eq
u
ir
ed
in
lar
g
e
clu
s
ter
en
v
ir
o
n
m
e
n
t
s
.
I
n
s
i
m
p
le
w
o
r
d
s
,
th
e
zo
o
k
ee
p
er
is
d
ev
e
lo
p
ed
f
o
r
co
o
r
d
in
atin
g
a
n
d
m
a
n
a
g
i
n
g
s
er
v
ices
b
et
w
ee
n
clu
s
ter
f
o
r
th
i
s
ca
s
e
zo
o
k
ee
p
er
n
ee
d
to
b
e
in
s
talled
in
d
is
tr
ib
u
ted
m
o
d
e,
it
is
r
esp
o
n
s
ib
le
f
o
r
tr
ac
k
in
g
an
d
r
ec
o
r
d
in
g
f
ail
u
r
es o
f
j
o
b
s
ass
i
g
n
ed
f
o
r
a
s
p
ec
if
ic
tas
k
[
1
4
].
4
.
4
.
Da
t
a
a
na
ly
t
ics a
nd
v
is
ua
liza
t
io
n
An
al
y
zin
g
d
ata
is
n
o
t
e
n
o
u
g
h
u
n
less
it
is
s
h
o
w
n
i
n
a
n
e
as
y
w
a
y
to
u
n
d
er
s
tan
d
s
i
m
p
l
e
g
r
ap
h
to
th
e
o
r
d
in
ar
y
u
s
er
s
a
n
d
th
i
s
ca
n
b
e
d
o
n
e
u
s
in
g
cu
t
tin
g
-
ed
g
e
te
ch
n
o
lo
g
ies s
u
c
h
as t
h
e
to
o
ls
li
s
ted
b
elo
w
:
4
.
4
.
1
.
Apa
che
pig
A
p
ac
h
e
P
ig
r
ep
r
esen
t
s
a
B
i
g
Data
an
al
y
s
is
p
lat
f
o
r
m
th
at
ca
n
ex
p
r
es
s
a
n
d
ev
al
u
ate
d
at
a
an
al
y
s
i
s
p
r
o
g
r
am
s
d
u
e
to
its
h
ig
h
-
lev
el
-
la
n
g
u
a
g
e
an
d
in
f
r
astr
u
ct
u
r
e.
T
h
e
a
m
en
ab
le
p
ar
alleliza
ti
o
n
s
tr
u
ct
u
r
e
o
f
P
i
g
p
r
o
g
r
am
s
co
n
s
id
er
ed
ess
e
n
tial
f
ea
t
u
r
es
t
h
at
e
n
ab
le
t
h
e
m
to
d
ea
l
w
i
th
m
a
s
s
i
v
e
d
atase
ts
p
r
ec
is
el
y
.
C
u
r
r
en
tl
y
,
P
ig
’
s
i
n
f
r
astr
u
ctu
r
e
la
y
er
in
cl
u
d
es
a
co
m
p
iler
w
h
ic
h
g
en
er
ates
s
eq
u
e
n
ce
s
o
f
Ma
p
-
R
ed
u
ce
p
r
o
g
r
am
s
an
d
it
u
s
e
s
P
ig
L
ati
n
a
s
a
s
cr
ip
tin
g
la
n
g
u
a
g
e.
T
h
e
L
a
tin
s
cr
ip
t
in
g
la
n
g
u
a
g
e
h
a
s
t
h
e
f
o
llo
win
g
ch
ar
ac
ter
i
s
tics
:
p
r
o
g
r
am
m
i
n
g
ea
s
il
y
,
o
p
ti
m
iza
tio
n
o
p
p
o
r
tu
n
ities
a
n
d
ex
te
n
s
i
b
ilit
y
.
4
.
4
.
2
.
Apa
che
hiv
e
A
p
ac
h
e
Hi
v
e
is
a
d
ata
w
ar
eh
o
u
s
e
p
lat
f
o
r
m
t
h
at
f
ac
ili
tates
th
e
p
r
o
ce
s
s
e
s
o
f
r
ea
d
i
n
g
,
w
r
itin
g
,
an
d
m
an
a
g
i
n
g
h
u
g
e
d
ataset
s
h
o
s
t
ed
in
a
d
is
tr
ib
u
ted
s
to
r
ag
e
s
y
s
te
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I
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].
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in
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3
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
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m
p
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n
g
,
Vo
l.
9
,
No
.
6
,
Dec
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201
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Fig
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[1
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“
Big
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N.
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P
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,
“
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t.
J
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Co
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[1
4
]
K.
S
in
a
n
d
L
.
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u
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u
,
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p
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li
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ly
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ICT
ACT
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.
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.
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5
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5
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Ho
rto
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s In
c
.
,
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A
p
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A
v
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b
le:
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tt
p
s://
h
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/.
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6
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Clark
Un
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tt
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c
lark
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fm
.
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7
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J.
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id
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ro
sik
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sta
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OG
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is BS
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s.
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.
Evaluation Warning : The document was created with Spire.PDF for Python.