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Vo
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Feb
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201
7
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4
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2
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2
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In
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:
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+9
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h
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2]
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I
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8
8
-
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I
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Vo
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7
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1
,
Feb
r
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ar
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2
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.
T
ab
le
1
.
E
x
am
p
le
s
ea
r
c
h
q
u
er
y
d
o
n
e
o
n
Go
o
g
le
[1
6
]
o
n
2
9
t
h
Ma
y
2
0
1
5
r
esu
lt r
o
w
s
Q
u
e
r
y
S
t
r
i
n
g
M
i
c
h
a
e
l
Jac
k
so
n
M
i
c
h
a
e
l
Jac
k
so
n
p
r
o
f
e
sso
r
T
o
t
a
l
R
e
su
l
t
s
A
b
o
u
t
3
9
,
0
0
,
0
0
,
0
0
0
A
b
o
u
t
7
,
8
9
,
0
0
,
0
0
0
r
e
su
l
t
s
S
e
a
r
c
h
R
e
s
u
l
t
s a
s
S
i
n
g
e
r
F
i
r
st
1
3
p
a
g
e
s a
n
d
a
f
t
e
r
P
a
g
e
3
-
5
t
h
r
e
su
l
t
S
e
a
r
c
h
R
e
s
u
l
t
s a
s
P
r
o
f
e
sso
r
P
a
g
e
1
7
8
t
h
r
e
su
l
t
F
i
r
st
p
a
g
e
S
e
a
r
c
h
R
e
s
u
l
t
s a
s
S
o
f
t
w
a
r
e
D
e
v
e
l
o
p
me
n
t
P
a
g
e
1
3
l
a
s
t
r
e
su
l
t
S
e
c
o
n
d
p
a
g
e
2
n
d
r
e
su
l
t
S
e
a
r
c
h
R
e
s
u
l
t
s a
s
V
P
P
a
g
e
1
6
4
t
h
r
e
su
l
t
N
o
t
p
r
e
se
n
t
i
n
t
h
e
f
i
r
st
2
0
p
a
g
e
s
As
s
h
o
w
n
i
n
T
ab
le
1
,
w
h
e
n
o
n
e
s
ea
r
ch
e
s
f
o
r
t
h
e
q
u
er
y
s
tr
in
g
'M
ich
ae
l J
ac
k
s
o
n
'
,
r
es
u
lt
s
f
o
r
th
e
s
i
n
g
er
'
Mic
h
ae
l
J
ac
k
s
o
n
'
ar
e
r
etu
r
n
e
d
in
th
e
f
ir
s
t
1
3
p
ag
es
w
h
er
ea
s
n
o
r
esu
lt
is
r
et
u
r
n
ed
f
o
r
th
e
p
r
o
f
ess
o
r
'
Mic
h
ae
l
J
ac
k
s
o
n
'
.
W
ith
ea
c
h
p
ag
e
co
n
tai
n
in
g
1
0
r
esu
lt
s
,
th
e
r
elev
an
t
r
esu
lts
s
tar
t
ap
p
ea
r
in
g
af
t
er
1
3
0
r
esu
lt
r
o
w
s
.
Ho
w
e
v
er
,
w
h
e
n
a
w
o
r
d
'
p
r
o
f
ess
o
r
'
i
s
ad
d
ed
to
th
e
q
u
er
y
s
tr
in
g
'
Mic
h
ae
l
J
ac
k
s
o
n
'
,
th
e
r
esu
lt
s
f
o
r
p
r
o
f
ess
o
r
Mic
h
ae
l
J
ac
k
s
o
n
ar
e
s
ee
n
i
n
th
e
f
ir
s
t
r
es
u
lt
p
a
g
e
its
e
lf
.
T
h
is
d
e
m
o
n
s
tr
ates
th
at
if
k
e
y
w
o
r
d
s
b
ase
d
o
n
u
s
er
in
te
n
tio
n
ar
e
u
s
ed
th
e
n
b
etter
h
its
ca
n
b
e
o
b
tain
ed
in
th
e
f
ir
s
t
f
e
w
s
ea
r
ch
r
esu
lt
p
ag
es.
Qu
e
r
y
e
x
p
an
s
io
n
b
ased
o
n
u
s
er
i
n
ten
tio
n
h
as s
h
o
w
n
to
g
iv
e
b
etter
s
ea
r
c
h
r
esu
l
ts
o
v
er
lar
g
e
d
ata
s
ets li
k
e
W
eb
[
7
]
,
[
1
7
]
.
T
h
u
s
u
s
er
in
te
n
tio
n
ca
n
b
e
u
s
ed
to
d
is
am
b
i
g
u
a
te
a
q
u
er
y
[
1
8
]
.
User
co
n
tex
t
ca
n
i
n
cl
u
d
e
p
ar
am
eter
s
s
u
c
h
as
'g
e
n
d
er
'
,
'
a
g
e
'
,
'
to
p
ic'
,
l
o
ca
tio
n
'
etc.
I
t c
an
b
e
s
h
o
r
t
-
ter
m
[
1
1
]
o
r
l
o
n
g
-
ter
m
[
1
8
]
.
I
n
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
,
u
s
er
in
ten
t
io
n
is
id
e
n
ti
f
ied
w
it
h
th
e
h
elp
o
f
u
s
er
p
r
o
f
ile
co
n
tain
i
n
g
p
ar
am
eter
s
li
k
e
'g
e
n
d
er
'
,
'
p
r
o
f
ess
io
n
'
,
'
i
n
ter
ests
'
,
'
lo
ca
tio
n
'
a
n
d
p
ast
s
ea
r
c
h
e
s
.
U
s
er
i
n
te
n
ti
o
n
id
en
t
if
ied
w
it
h
FM5
alg
o
r
it
h
m
is
u
s
ed
to
r
ef
o
r
m
u
late
t
h
e
q
u
er
y
.
T
h
is
p
ap
er
b
r
in
g
s
to
g
et
h
er
d
i
f
f
er
e
n
t
I
R
(
I
n
f
o
r
m
atio
n
R
etr
iev
al)
ar
ea
s
li
k
e
Q
AC
(
Qu
er
y
a
u
to
co
m
p
letio
n
)
,
Qu
er
y
P
er
s
o
n
aliza
tio
n
a
n
d
au
to
m
atic
q
u
er
y
e
x
p
an
s
io
n
.
Ou
r
co
n
tr
ib
u
tio
n
s
ar
e
:
1
)
A
n
o
v
el
u
s
er
i
n
te
n
tio
n
id
e
n
t
if
icatio
n
alg
o
r
it
h
m
is
p
r
o
p
o
s
ed
to
p
r
e
d
ict
u
s
er
in
te
n
tio
n
.
2
)
Qu
er
y
ex
p
a
n
s
io
n
is
d
o
n
e
u
s
in
g
id
en
ti
f
ied
u
s
er
in
te
n
tio
n
to
g
et
i
m
p
r
o
v
ed
p
r
ec
is
io
n
f
o
r
a
m
b
i
g
u
o
u
s
s
ea
r
c
h
s
tr
in
g
s
.
3
)
E
x
p
er
im
e
n
tal
ev
al
u
atio
n
o
f
th
e
m
eth
o
d
is
co
n
d
u
cted
w
it
h
d
ataset
co
llected
f
r
o
m
u
s
er
s
.
T
h
e
r
esu
lts
r
ef
lec
t
i
m
p
r
o
v
e
m
en
t i
n
u
s
er
in
ten
tio
n
id
en
tific
atio
n
a
n
d
p
r
ec
is
io
n
o
f
s
ea
r
ch
r
esu
l
ts
.
4
)
R
esu
lts
o
f
q
u
er
y
e
x
p
an
s
io
n
u
s
i
n
g
t
h
e
id
en
tifie
d
u
s
er
i
n
ten
tio
n
ar
e
co
m
p
ar
ed
w
it
h
t
h
e
r
esu
lt
s
o
f
Go
o
g
le
s
ea
r
ch
en
g
i
n
e
[
1
6
]
d
i
r
ec
tly
a
s
f
ir
s
t
b
aseli
n
e
an
d
also
w
it
h
r
esu
l
ts
o
b
tain
ed
f
o
r
a
m
b
ig
u
o
u
s
q
u
er
ie
s
b
y
C
h
ir
ita
et
al
[
7
]
as a
s
ec
o
n
d
b
aselin
e.
I
n
th
is
p
ap
er
,
Sectio
n
2
d
escr
i
b
es
th
e
r
elate
d
w
o
r
k
.
Sectio
n
3
ex
p
lain
s
d
ata
d
escr
ip
tio
n
an
d
h
o
w
it
is
u
s
ed
b
y
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
w
h
ile
Sectio
n
4
d
escr
ib
es
th
e
FM5
u
s
er
in
te
n
tio
n
id
en
ti
f
icatio
n
alg
o
r
ith
m
.
R
es
u
lts
a
n
d
d
is
cu
s
s
io
n
ar
e
d
escr
ib
ed
in
Sectio
n
5
.
C
o
n
cl
u
s
io
n
is
p
r
esen
ted
in
Sectio
n
6
.
2.
R
E
L
AT
E
D
WO
RK
2
.
1
.
Aut
o
co
m
p
let
io
ns
a
nd
P
er
s
o
n
a
liza
t
io
n
B
h
atia
et
a
l.
[
1
9
]
p
r
esen
ts
w
o
r
k
w
h
er
e
p
h
r
a
s
es a
n
d
n
-
g
r
a
m
s
ar
e
m
i
n
ed
f
r
o
m
te
x
t c
o
llec
tio
n
s
an
d
u
s
ed
f
o
r
g
en
er
ati
n
g
au
to
co
m
p
letio
n
s
.
Mo
s
t
p
o
p
u
lar
co
m
p
let
io
n
i.e
.
au
to
co
m
p
let
io
n
s
b
ased
o
n
p
ast
p
o
p
u
lar
ity
o
f
q
u
er
ies
in
q
u
er
y
lo
g
s
ar
e
m
o
d
eled
in
B
ar
-
Yo
s
s
e
f
an
d
Kr
au
s
's
w
o
r
k
[
20
],
[
2
1
]
.
C
o
m
m
er
cial
s
ea
r
ch
en
g
in
e
s
u
s
e
MP
C
(
m
o
s
t
p
o
p
u
lar
co
m
p
leti
o
n
)
f
o
r
q
u
er
y
au
to
co
m
p
leti
o
n
[
20
].
Oth
er
q
u
er
y
a
u
to
co
m
p
let
io
n
m
eth
o
d
s
in
cl
u
d
e
p
er
s
o
n
alize
d
au
to
co
m
p
letio
n
,
co
n
tex
t
b
ased
au
to
co
m
p
letio
n
u
s
in
g
p
r
ev
io
u
s
q
u
er
i
es
b
y
u
s
er
[
20
]
,
ti
m
e
b
ased
au
to
co
m
p
l
etio
n
[
22
]
,
ti
m
e
a
n
d
co
n
te
x
t
b
ased
a
u
to
co
m
p
letio
n
[
21
].
Ho
m
o
l
o
g
o
u
s
q
u
er
ies
an
d
s
e
m
a
n
tical
l
y
r
elate
d
ter
m
s
ar
e
u
s
ed
to
g
e
n
er
ate
au
to
co
m
p
leti
o
n
s
b
y
C
a
i e
t a
l.
[
1
2
]
P
er
s
o
n
aliza
tio
n
o
f
q
u
er
y
r
es
u
l
ts
b
y
u
s
in
g
th
e
i
n
ter
est
s
o
f
u
s
e
r
s
is
d
o
n
e
b
y
m
an
y
r
esear
ch
er
s
[
23
-
26
]
.
User
p
r
ef
er
en
ce
s
ar
e
co
llect
ed
b
y
eit
h
er
i
m
p
lici
t
o
r
ex
p
licit
m
et
h
o
d
.
Gen
d
er
an
d
ag
e
ar
e
u
s
ed
f
o
r
p
er
s
o
n
alizin
g
t
h
e
r
esu
lt
s
b
y
Kh
ar
ito
n
o
v
an
d
Ser
d
y
u
k
o
v
[
27
]
.
User
co
n
tex
t
b
ased
o
n
th
e
ir
r
ec
en
t
q
u
er
ies
is
g
en
er
ated
an
d
u
s
ed
to
r
an
k
th
e
q
u
er
y
r
es
u
lts
i
n
a
s
ess
io
n
b
y
Xian
g
et
al
[2
8
]
.
Mo
s
t
o
f
th
e
r
esear
ch
co
n
d
u
cted
is
f
o
r
p
er
s
o
n
alizi
n
g
th
e
q
u
er
y
r
esu
lt
s
b
y
r
er
an
k
in
g
t
h
e
m
u
s
i
n
g
u
s
er
p
r
o
f
ile
r
at
h
er
th
a
n
q
u
er
y
a
u
t
o
co
m
p
letio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
C
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n
text
S
en
s
itive
S
ea
r
ch
S
tr
in
g
C
o
mp
o
s
itio
n
A
lg
o
r
ith
m
u
s
in
g
User
I
n
ten
tio
n
to
…
(
Uma
Ga
jen
d
r
a
g
a
d
ka
r
)
434
T
h
is
p
ap
er
p
r
o
p
o
s
es
an
alg
o
r
ith
m
th
at
u
s
e
s
p
er
s
o
n
aliza
ti
o
n
f
o
r
q
u
er
y
co
m
p
letio
n
o
r
au
to
co
m
p
letio
n
s
i
n
s
ea
r
ch
.
An
i
m
p
r
o
v
e
m
e
n
t
i
n
a
u
to
co
m
p
letio
n
r
an
k
i
n
g
is
clai
m
ed
b
y
p
er
s
o
n
aliza
tio
n
i
n
S
h
o
k
o
u
h
i
'
s
w
o
r
k
[
2
9
]
.
Sh
o
k
o
u
h
i
et
al.
also
p
r
esen
t
ed
r
an
k
in
g
o
f
a
u
to
co
m
p
letio
n
s
w
it
h
a
ti
m
e
-
s
e
n
s
i
tiv
e
ap
p
r
o
ac
h
as
p
er
th
eir
ex
p
ec
ted
p
o
p
u
lar
it
y
[
30
]
.
Am
b
ig
u
o
u
s
q
u
er
ie
s
ar
e
h
an
d
led
b
y
S
h
o
u
k
h
o
i
et
al.
b
y
p
r
o
v
id
in
g
u
s
er
co
n
te
x
t
i
n
ter
m
s
o
f
s
es
s
io
n
co
n
te
x
t.
Q
u
er
y
s
u
g
g
esti
o
n
is
ac
h
ie
v
ed
b
y
u
s
in
g
clic
k
i
n
f
o
r
m
atio
n
al
o
n
g
w
it
h
p
r
ev
io
u
s
q
u
er
ies i
n
a
s
ess
io
n
a
s
co
n
te
x
t
an
d
t
h
en
m
in
i
n
g
q
u
er
y
lo
g
s
e
s
s
i
o
n
s
f
o
r
q
u
er
y
r
e
f
o
r
m
u
latio
n
s
[
31
]
.
T
h
is
w
o
r
k
is
s
i
m
ilar
to
u
s
b
u
t
it
d
o
es
n
o
t
c
o
n
s
id
er
lo
n
g
-
ter
m
u
s
er
co
n
te
x
t
in
s
tead
f
o
c
u
s
e
s
o
n
s
es
s
io
n
b
ased
u
s
er
co
n
tex
t
i
n
ter
m
s
o
f
cl
ick
i
n
f
o
r
m
atio
n
an
d
p
r
ev
io
u
s
q
u
er
ies.
2
.
2
.
User
I
nte
ntio
n
Ma
n
y
s
t
u
d
ies
h
av
e
tr
ied
to
id
en
ti
f
y
u
s
er
i
n
te
n
tio
n
in
d
i
f
f
er
en
t
w
a
y
s
.
Mo
s
t
o
f
th
e
m
tr
y
to
ca
teg
o
r
ize
th
e
q
u
er
ies
as
i
n
f
o
r
m
atio
n
a
l,
n
av
i
g
atio
n
al
an
d
tr
an
s
ac
tio
n
al
as
p
r
o
p
o
s
ed
b
y
J
an
s
en
et
al
[
32
]
.
Giv
en
a
q
u
er
y
s
u
g
g
e
s
tio
n
,
ef
f
o
r
ts
h
av
e
b
ee
n
d
o
n
e
to
u
n
d
er
s
ta
n
d
t
h
e
u
s
er
in
te
n
tio
n
u
s
in
g
d
i
f
f
er
e
n
t
m
ea
n
s
li
k
e
w
eb
s
ea
r
ch
lo
g
s
[
26
]
,
[
33
-
36
]
,
p
r
ev
io
u
s
u
s
er
's
s
ea
r
c
h
lo
g
f
o
r
s
a
m
e
q
u
er
y
[
37
]
,
click
ed
p
ag
e
s
[
3
8
]
,
u
s
er
'
s
s
ea
r
ch
s
es
s
io
n
h
is
to
r
y
[
3
9
]
,
W
ik
ip
ed
ia
[
40
]
,
W
o
r
d
n
et
an
d
Go
o
g
le
n
-
g
r
a
m
[
41
]
.
Usi
n
g
s
ea
r
ch
q
u
er
y
lo
g
s
f
o
r
ex
is
ti
n
g
u
s
er
s
to
id
en
ti
f
y
i
n
te
n
tio
n
ca
n
n
o
t
g
u
ar
an
tee
t
h
e
c
o
r
r
ec
tn
es
s
o
f
s
ea
r
c
h
r
es
u
lts
[
37
]
.
Sear
ch
i
n
ten
t
p
r
ed
ictio
n
alo
n
g
w
it
h
q
u
er
y
a
u
to
co
m
p
letio
n
i
s
a
le
s
s
e
x
p
lo
r
ed
ar
ea
.
A
cc
o
r
d
in
g
to
C
h
en
g
e
t
al.
,
m
a
n
y
s
ea
r
c
h
es
ar
e
tr
i
g
g
er
ed
b
y
b
r
o
w
s
ed
w
eb
p
ag
e
s
[
42
]
.
Ko
n
g
et
al.
tr
ied
to
p
r
ed
ict
s
ea
r
ch
in
te
n
t
u
s
i
n
g
r
ec
e
n
tl
y
b
r
o
w
s
ed
n
e
w
s
ar
ticle
b
e
f
o
r
e
s
ea
r
ch
[
4
3
]
.
A
lar
g
e
n
u
m
b
er
o
f
q
u
er
ie
s
ar
e
tr
i
g
g
e
r
ed
b
y
n
e
ws
ar
ticle
d
ail
y
[
43
]
.
P
r
ed
ictin
g
s
ea
r
ch
i
n
te
n
t
u
s
in
g
b
r
o
w
s
ed
p
ag
es
is
i
n
ad
eq
u
ate
[
43
].
Ou
r
p
r
o
p
o
s
ed
m
et
h
o
d
u
s
e
s
liv
e
R
SS
n
e
w
s
f
ee
d
f
o
r
q
u
er
y
p
r
ed
ictio
n
.
I
t
m
ak
e
s
u
s
e
o
f
u
s
er
p
r
o
f
iles
to
p
r
ed
ict
th
e
s
ea
r
ch
i
n
ten
t.
2
.
3
.
Q
uery
E
x
pa
n
s
io
n
Qu
er
y
e
x
p
an
s
io
n
is
u
s
ed
to
r
ef
o
r
m
u
late
t
h
e
o
r
ig
in
al
u
s
er
q
u
er
y
s
o
as
to
i
m
p
r
o
v
e
r
etr
iev
al
o
f
s
ea
r
ch
r
es
u
lts
to
b
etter
s
atis
f
y
u
s
er
n
ee
d
s
.
On
e
o
f
th
e
m
is
r
ele
v
a
n
ce
f
ee
d
b
ac
k
u
s
i
n
g
th
e
r
et
u
r
n
ed
r
esu
lts
a
n
d
ad
d
in
g
n
e
w
ter
m
s
r
elate
d
to
th
e
o
r
ig
in
al
q
u
er
y
a
n
d
s
elec
ted
d
o
cu
m
e
n
t
s
[
44
]
.
Oth
er
m
et
h
o
d
s
in
cl
u
d
e
ad
d
in
g
r
elev
an
t
ter
m
s
b
ased
o
n
ter
m
f
r
eq
u
e
n
c
y
,
d
o
cu
m
e
n
t
f
r
eq
u
e
n
c
y
f
r
o
m
to
p
r
an
k
ed
d
o
cu
m
e
n
ts
[
45
]
,
[
46
]
,
c
o
-
o
cc
u
r
r
en
ce
b
ased
tech
n
iq
u
es
[
47
]
,
th
esa
u
r
u
s
b
ased
tech
n
iq
u
es
[
48
-
51
]
,
d
esk
to
p
s
p
ec
if
ic
tech
n
iq
u
e
s
[
7
]
,
p
r
o
b
ab
ili
ty
o
f
ter
m
s
o
v
er
s
ea
r
ch
lo
g
s
[
52
]
.
Ou
r
a
p
p
r
o
ac
h
u
s
es
a
u
s
er
in
te
n
tio
n
b
ased
k
e
y
w
o
r
d
ad
d
itio
n
to
e
x
p
an
d
t
h
e
o
r
ig
i
n
al
q
u
er
y
to
h
a
n
d
le
a
m
b
i
g
u
o
u
s
q
u
er
y
ter
m
s
.
3.
DATA D
E
SCR
I
P
T
I
O
N
3
.
1
.
Da
t
a
co
llect
io
n
M
et
ho
do
lo
g
y
a
nd
Da
t
a
Reso
urce
s
T
h
e
s
y
s
te
m
u
s
e
s
d
if
f
er
en
t
t
y
p
es
o
f
d
ata
s
o
u
r
ce
s
.
Fo
r
tem
p
o
r
al
co
n
tex
tu
al
co
r
p
u
s
t
w
o
el
e
m
en
ts
ar
e
co
n
s
id
er
ed
.
On
e
i
s
s
tatic
co
n
t
ex
tu
a
l
d
ata
b
ased
o
n
c
u
r
r
en
t
m
o
n
t
h
a
n
d
t
h
e
s
ec
o
n
d
is
d
y
n
a
m
ic
co
n
tex
tu
al
d
ata
b
ased
o
n
d
aily
cu
r
r
en
t
ev
e
n
ts
.
B
ased
o
n
th
e
p
ar
am
e
ter
„
p
er
io
d
'
,
a
m
o
n
t
h
-
w
i
s
e
lis
t
o
f
o
cc
asio
n
s
f
r
o
m
Hi
n
d
u
an
d
C
h
r
i
s
tia
n
ca
len
d
ar
is
ta
k
e
n
an
d
th
e
ir
ass
o
ciate
d
k
e
y
w
o
r
d
s
lis
t
is
b
u
ilt.
Seco
n
d
l
y
b
ase
d
o
n
d
aily
c
u
r
r
en
t
ev
en
t
s
,
R
SS
n
e
w
s
f
ee
d
f
r
o
m
R
eu
ter
s
[
5
4
]
is
p
r
o
ce
s
s
ed
an
d
a
d
ataset
o
f
k
e
y
w
o
r
d
s
i
s
b
u
il
t
[
1
]
.
T
h
e
te
m
p
o
r
al
d
ata
is
r
ef
r
es
h
ed
ev
er
y
d
a
y
a
n
d
also
at
r
estar
t o
f
s
er
v
er
.
T
h
is
co
n
tex
t
u
al
d
ata
i
s
g
en
er
at
ed
f
o
r
b
o
th
E
n
g
li
s
h
an
d
Ma
r
ath
i
-
an
I
n
d
ia
n
lan
g
u
ag
e
p
o
p
u
lar
ly
u
s
ed
in
t
h
e
s
tate
o
f
Ma
h
ar
as
h
tr
a
b
y
m
o
r
e
th
a
n
7
0
m
illi
o
n
p
eo
p
le.
Ma
r
ath
i
n
-
g
r
a
m
d
ata
s
et
i
s
al
s
o
cr
ea
ted
b
y
cr
a
w
li
n
g
Ma
r
at
h
i
w
eb
s
ite
s
f
o
r
ab
o
u
t
f
o
u
r
m
o
n
th
s
an
d
p
r
o
ce
s
s
in
g
th
e
w
eb
p
ag
es a
n
d
is
av
ailab
le
[
5
5
].
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
al
s
o
u
s
es
d
ata
f
r
o
m
v
ar
io
u
s
s
o
u
r
ce
s
lik
e
Go
o
g
le
n
-
g
r
a
m
[
5
6
]
an
d
W
o
r
d
n
et
[
5
7
]
f
o
r
E
n
g
l
is
h
a
n
d
Ma
r
ath
i
W
o
r
d
n
et
d
ata
[
5
8
]
.
Ho
w
to
u
s
e
ab
o
v
ed
escr
ib
ed
co
n
tex
tu
al
d
ata
to
m
i
n
e
p
o
s
s
ib
le
q
u
er
y
au
to
co
m
p
letio
n
s
is
d
is
cu
s
s
ed
b
y
U
m
a
Gaj
en
d
r
ag
ad
k
ar
et
al
[
1
]
.
A
u
t
o
co
m
p
letio
n
s
f
o
r
all
s
a
m
p
le
test
q
u
er
ies
ar
e
co
llected
f
r
o
m
p
o
p
u
lar
s
ea
r
ch
en
g
i
n
es
f
o
r
co
m
p
ar
is
o
n
.
T
h
is
is
d
o
n
e
f
o
r
ea
ch
ch
ar
ac
ter
k
e
y
p
r
ess
o
f
all
th
e
te
s
t q
u
er
ie
s
.
3
.
2
.
User
I
nte
ntio
n
B
a
s
ed
Q
uery
E
x
pa
ns
io
n
„
K‟
u
s
er
p
r
o
f
iles
r
etu
r
n
ed
b
y
KNN
(
K
Nea
r
est
Nei
g
h
b
o
r
)
alg
o
r
ith
m
ar
e
u
s
ed
as
in
p
u
t
to
th
e
FM5
alg
o
r
ith
m
.
L
et
̅
}
(
1
)
b
e
a
s
et
o
f
p
r
o
f
iles
s
u
ch
t
h
at
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
7
:
4
3
2
–
450
435
∑
∑
̅
}
(
2
)
w
h
er
e
P
(
Z
)
is
th
e
p
r
o
b
ab
ilit
y
o
f
th
e
k
n
o
w
n
u
s
er
p
r
o
f
iles
an
d
̅
is
th
e
p
r
o
b
ab
ilit
y
o
f
u
n
k
n
o
wn
u
s
er
p
r
o
f
iles
.
L
et
|
(
3
)
b
e
th
e
s
et
o
f
n
q
u
er
y
w
o
r
d
s
an
d
let
{
|
(
4
)
b
e
th
e
s
et
o
f
m
in
ten
tio
n
s
id
en
ti
f
ied
.
A
tr
ial
is
co
n
d
u
cted
b
y
co
llect
in
g
r
an
d
o
m
s
a
m
p
les
<a
i;
b
j>
.
Fo
r
ea
ch
s
a
m
p
le
q
u
er
y
k
e
y
w
o
r
d
ai
,
th
er
e
co
u
ld
b
e
m
u
ltip
le
u
s
er
in
te
n
tio
n
s
s
to
r
ed
in
in
ten
tio
n
m
a
tr
ix
.
I
f
k
e
y
w
o
r
d
h
as
t
w
o
p
o
s
s
ib
le
in
ten
tio
n
s
th
en
t
h
e
y
ar
e
i
n
d
icate
d
b
y
'
T
'
a
n
d
all
o
th
er
in
te
n
tio
n
s
t
h
o
s
e
ar
e
n
o
t
ap
p
licab
le
ar
e
in
d
icate
d
b
y
'
F
'
.
T
o
tal
3
4
d
if
f
e
r
en
t
u
s
er
in
te
n
tio
n
s
ar
e
co
n
s
id
er
ed
.
Fo
r
ex
a
m
p
le
co
n
s
id
er
k
e
y
w
o
r
d
-
'
J
ag
u
ar
'
.
I
t
ca
n
h
a
v
e
t
w
o
p
o
s
s
ib
le
u
s
er
in
ten
tio
n
s
-
'Au
to
m
o
b
ile
'
a
n
d
'W
ild
lif
e
'
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et
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r
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ith
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g
r
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g
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u
r
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1
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P
er
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m
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ce
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p
le
Data
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
0
8
8
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I
J
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C
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Vo
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4.
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ith
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m
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m
eter
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ate
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o
f
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d
as
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iv
e
n
in
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q
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atio
n
22
.
User
ca
n
s
elec
t
th
e
p
ar
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ter
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m
u
ltip
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m
eter
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to
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s
ed
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f
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r
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ch
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el
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{
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h
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}
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ter
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{
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ar
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li
k
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}
co
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ld
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e
o
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itted
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et
(8
)
b
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et
o
f
p
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a
m
eter
s
co
n
s
id
er
ed
f
o
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th
e
ex
p
er
i
m
en
t.
Fo
r
ex
a
m
p
le,
u
s
er
p
r
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f
ile
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s
i
s
ts
o
f
5
p
ar
a
m
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-
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,
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ter
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,
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er
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,
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o
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tio
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a
n
d
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ch
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.
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r
ill
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s
tr
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p
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p
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e,
h
ig
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w
eig
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t
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ass
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g
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h
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le
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m
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ar
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ca
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e
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ed
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el
s
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n
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u
r
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2
.
Fig
u
r
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2
.
User
I
n
ten
t
io
n
I
d
en
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icatio
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Fu
n
n
el
L
et
(9
)
b
e
th
e
s
et
o
f
w
ei
g
h
ts
s
u
c
h
th
at
|
(
1
0
)
T
h
e
co
m
p
u
ta
tio
n
o
f
t
h
ese
w
e
i
g
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t
s
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x
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lain
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i
n
E
q
u
atio
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22
.
L
et
Q
b
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t
h
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er
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p
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t
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tr
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ic
ch
ar
ac
ter
to
co
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p
lete
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tr
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.
|
(
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)
w
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,
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ter
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{
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ar
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itia
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can
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et
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tial
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tr
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h
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elate
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et
as p
er
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q
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atio
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7
.
4
.
1
.
P
ro
po
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ed
Circ
ula
r
Str
uct
ure
f
o
r
User
P
ro
f
ile
P
a
r
a
m
et
er
s
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e
u
s
er
p
r
o
f
iles
ar
e
o
r
g
an
ized
in
a
cir
cu
lar
lin
k
ed
lis
t
as
s
h
o
w
n
in
Fi
g
u
r
e
3
.
A
c
ir
cu
lar
li
n
k
ed
lis
t
is
u
s
ed
a
s
o
n
e
ca
n
ad
d
o
r
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e
m
o
v
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p
ar
a
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eter
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f
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m
t
h
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t
ea
s
il
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a
n
d
ea
s
y
to
tr
a
v
er
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e
to
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ch
a
n
o
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t.
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ea
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d
o
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s
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b
tr
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t
p
ar
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eter
s
f
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c
ir
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k
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d
lis
t.
Sizeo
f
t
h
e
cir
cu
lar
lin
k
e
d
lis
t
w
ill
i
n
cr
ea
s
e
o
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s
e
ac
co
r
d
in
g
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y
.
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et
'
r
'
b
e
th
e
r
ad
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o
f
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h
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cir
cle
o
n
w
h
ich
v
ar
io
u
s
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er
p
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ile
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ar
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ar
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an
g
ed
.
T
h
e
p
o
in
ter
in
t
h
e
cir
c
u
lar
li
n
k
ed
l
is
t
i
s
p
lace
d
a
s
p
er
t
h
e
w
e
ig
h
t
ca
lcu
lated
b
y
as
s
o
ciatio
n
r
u
le
in
ter
m
s
o
f
s
u
p
p
o
r
t
as sh
o
w
n
i
n
E
q
u
atio
n
2
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
C
o
n
text
S
en
s
itive
S
ea
r
ch
S
tr
in
g
C
o
mp
o
s
itio
n
A
lg
o
r
ith
m
u
s
in
g
User
I
n
ten
tio
n
to
…
(
Uma
Ga
jen
d
r
a
g
a
d
ka
r
)
438
L
et
b
e
th
e
co
s
t
|
(
1
2
)
ass
o
ciat
ed
w
ith
ele
m
e
n
t
s
o
f
Q
s
u
c
h
th
a
t
(
1
3
)
C
=
1
w
h
e
n
p
ar
tial
o
r
co
m
p
let
e
s
ea
r
ch
s
tr
i
n
g
d
o
es
n
o
t
ex
i
s
t
i
n
th
e
s
ea
r
ch
s
et
o
r
th
e
alg
o
r
it
h
m
f
a
ils
to
p
r
ed
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th
e
s
ea
r
ch
s
tr
in
g
.
C
=
0
w
h
en
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ea
r
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s
tr
i
n
g
i
s
d
is
ti
n
ctl
y
k
n
o
w
n
t
h
en
n
o
s
ea
r
ch
s
tr
in
g
p
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ed
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n
an
d
co
m
p
o
s
i
tio
n
is
r
eq
u
ir
ed
.
T
h
e
s
o
r
tin
g
o
f
s
ea
r
ch
s
tr
i
n
g
is
d
o
n
e
s
u
c
h
th
a
t it
al
w
a
y
s
h
a
s
t
h
e
ce
n
tr
al
ten
d
en
c
y
.
Fig
u
r
e
3
.
C
ir
cu
lar
Str
u
ctu
r
e
u
s
ed
f
o
r
FM5
-
u
s
er
I
n
t
e
n
tio
n
I
d
en
ti
f
icatio
n
A
lg
o
r
it
h
m
Sin
ce
t
h
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s
ea
r
c
h
s
tr
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s
co
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p
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ted
a
n
d
m
ap
p
ed
in
th
e
r
an
g
e
[
0
,
1
]
,
th
e
ce
n
tr
al
te
n
d
en
c
y
p
r
ed
icts
m
o
s
t
l
ik
el
y
s
ea
r
ch
s
tr
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.
C
o
m
p
u
tat
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n
o
f
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g
ical
s
ea
r
ch
s
t
r
in
g
is
d
o
n
e
w
i
th
th
e
v
ar
io
u
s
p
ar
am
eter
s
o
f
u
s
er
p
r
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f
ile.
Gr
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d
y
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g
o
r
ith
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is
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s
ed
f
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n
ten
tio
n
s
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tio
n
u
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in
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co
s
t
(
w
ei
g
h
t)
.
E
ac
h
ti
m
e
th
e
m
es
h
w
it
h
lar
g
es
t
co
s
t a
n
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g
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ter
th
a
n
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th
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s
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a
s
ex
p
lai
n
ed
in
E
q
u
atio
n
21.
4
.
2
.
M
a
t
he
m
a
t
ica
l M
o
del f
o
r
F
u
nn
el
M
esh
5
(
F
M
5
)
Alg
o
rit
h
m
T
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alg
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ith
m
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n
p
s
e
u
d
o
co
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e
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r
m
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e
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ted
in
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h
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A
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r
ith
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.
R
es
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n
e
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lain
s
it
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etail.
T
o
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s
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ate
it
f
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r
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if
=
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I
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Feb
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7
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3
2
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