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asin
g
[
6
]
.
T
h
e
tr
ad
itio
n
al
b
u
s
in
ess
m
o
d
el
d
ef
icien
cy
r
e
q
u
ir
es
an
e
-
c
o
m
m
er
ce
em
e
r
g
en
ce
.
T
h
e
in
f
o
r
m
atio
n
n
etwo
r
k
c
o
n
s
tr
u
ctio
n
is
f
o
cu
s
ed
u
n
d
er
t
h
e
d
ata
o
r
in
f
o
r
m
at
io
n
ag
e.
T
h
e
r
e
is
lo
t
o
f
s
ec
u
r
ity
is
s
u
es
an
d
d
ata
m
an
ag
em
en
t
is
s
u
es
in
tr
ad
itio
n
al
b
u
s
in
ess
m
o
d
el.
Fro
m
clo
u
d
co
m
p
u
tin
g
p
er
s
p
ec
tiv
e,
cl
o
u
d
p
latf
o
r
m
an
d
b
ig
d
ata
h
av
e
m
ak
es
s
tr
en
g
th
en
th
e
tr
ad
itio
n
al
b
u
s
in
ess
.
T
h
e
m
o
s
t
p
o
wer
f
u
l
p
latf
o
r
m
f
o
r
m
ar
k
etin
g
is
cr
ea
ted
b
y
in
teg
r
atin
g
a
n
u
m
b
er
o
f
tech
n
o
lo
g
ical
b
e
n
ef
its
th
at
h
ig
h
lig
h
t
th
e
b
en
ef
its
o
f
to
d
ay
'
s
I
n
ter
n
et,
an
d
th
e
s
cr
ee
n
in
g
an
aly
s
is
is
wh
er
e
th
e
b
en
ef
its
o
f
all
th
e
d
ata
ar
e
f
o
u
n
d
[
7
]
.
I
t
is
tak
en
in
to
co
n
s
id
er
atio
n
to
en
s
u
r
e
o
p
tim
al
ap
p
licatio
n
ef
f
ec
t,
r
ati
o
n
ality
,
an
d
p
er
f
ec
t
c
o
g
n
itio
n
b
y
in
teg
r
atin
g
th
e
f
ea
t
u
r
es
o
f
b
ig
d
ata
tech
n
o
l
o
g
y
an
d
clo
u
d
co
m
p
u
tin
g
[
8
]
.
T
h
r
o
u
g
h
v
a
r
io
u
s
r
eso
u
r
ce
s
o
f
th
e
h
y
p
er
te
x
t
tr
an
s
f
er
p
r
o
to
co
l
(
HT
T
P)
p
r
o
to
c
o
l
u
s
ed
b
y
we
b
b
r
o
wser
an
d
web
s
er
v
er
in
ter
ac
tio
n
,
th
e
s
er
v
er
,
clien
t,
a
n
d
p
r
o
x
y
lev
els
co
llect
web
u
s
ag
e
d
ata.
T
h
er
e
is
an
in
cr
ea
s
e
in
o
n
lin
e
c
u
s
to
m
er
s
with
t
h
e
in
c
r
ea
s
e
o
f
cu
r
r
en
t
s
ce
n
ar
i
o
[
9
]
.
I
n
ty
p
ical
web
s
ite
lo
g
f
ile,
th
e
o
r
d
er
o
f
h
u
n
d
r
e
d
b
y
tes d
ata
is
cr
ea
ted
b
y
th
e
cli
ck
in
g
o
f
ea
ch
web
p
a
g
e.
T
h
e
web
u
s
er
s
en
d
s
th
e
r
eq
u
est in
f
o
r
m
atio
n
to
th
e
web
s
er
v
er
,
an
d
th
e
s
er
v
er
r
ec
o
r
d
s
th
e
u
s
er
'
s
ac
tiv
ity
th
r
o
u
g
h
a
p
r
o
to
co
l.
T
h
ese
ty
p
es
o
f
r
ec
o
r
d
s
ar
e
k
n
o
wn
as
web
ac
ce
s
s
lo
g
s
,
an
d
t
h
ey
i
n
clu
d
e
i
n
f
o
r
m
atio
n
s
u
ch
as
co
m
p
u
ter
I
P
ad
d
r
ess
r
eq
u
ests
,
v
is
ito
r
in
f
o
r
m
atio
n
,
h
it
lin
es,
r
eq
u
est m
eth
o
d
,
lo
ca
tio
n
,
HT
T
P st
atu
s
co
d
e,
f
ile
s
ize,
an
d
r
eq
u
ested
n
am
e
[
1
0
]
.
T
h
e
e
-
c
o
m
m
er
ce
tr
ad
itio
n
al
o
p
er
atio
n
m
o
d
e
was
c
h
an
g
e
d
b
y
th
e
Platfo
r
m
izatio
n
r
is
e
in
cl
o
u
d
co
m
p
u
tin
g
an
d
b
ig
d
ata
[
1
1
]
.
Usi
n
g
a
lar
g
e
n
u
m
b
er
o
f
s
m
al
l
an
d
m
e
d
iu
m
-
s
ized
en
ter
p
r
is
es
th
at
r
en
t
d
i
f
f
er
en
t
clo
u
d
s
er
v
ices
an
d
d
ata
ce
n
ter
p
r
o
v
id
er
s
,
e
-
c
o
m
m
er
ce
p
latf
o
r
m
s
ar
e
r
a
p
id
ly
d
e
v
elo
p
ed
.
All
k
in
d
s
o
f
e
-
co
m
m
er
ce
’
s
u
s
er
cu
s
to
m
iz
ed
n
ee
d
s
ar
e
s
h
ar
ed
am
o
n
g
th
e
en
ter
p
r
is
es,
b
etter
co
llab
o
r
ated
an
d
m
et
b
y
p
r
o
m
o
tin
g
th
e
p
o
wer
f
u
l
clo
u
d
co
m
p
u
tin
g
ca
p
ac
ity
[
1
2
]
.
T
h
e
R
V
Ma
p
R
ed
u
ce
f
r
am
ewo
r
k
is
u
s
ed
b
y
b
ig
d
ata
an
aly
tics
o
f
m
ar
k
et
b
ask
et
a
n
aly
s
is
ea
s
i
ly
ac
co
m
p
lis
h
es
th
e
web
s
ite
r
an
k
in
g
o
f
e
-
co
m
m
e
r
ce
as
it
is
a
r
o
b
u
s
t
an
d
s
ca
lab
le
to
p
r
o
ce
s
s
b
i
g
d
ata
ef
f
icien
tly
b
y
an
o
p
en
-
s
o
u
r
ce
p
latf
o
r
m
.
An
ad
v
an
ce
d
e
-
co
m
m
er
ce
web
s
ite
r
an
k
in
g
s
y
s
tem
b
ased
o
n
b
i
g
d
ata
ca
n
b
e
im
p
lem
en
ted
ef
f
icien
tly
with
th
e
h
elp
o
f
a
clo
u
d
co
m
p
u
tin
g
ar
ch
itectu
r
e
b
ased
o
n
Had
o
o
p
an
d
Ma
p
R
ed
u
ce
.
T
h
e
I
MSS
-
AE
to
o
l
u
s
es
b
ig
d
ata
m
i
n
in
g
an
d
Had
o
o
p
-
R
V
(
r
elev
an
cy
v
ec
t
o
r
)
-
Ma
p
R
ed
u
ce
f
r
am
ewo
r
k
-
b
ased
an
aly
tic
s
to
p
er
f
o
r
m
th
e
r
an
k
in
g
p
r
o
ce
s
s
.
T
h
is
m
ak
e
s
e
-
co
m
m
er
ce
web
s
ite
p
er
s
o
n
al
ized
s
ea
r
ch
ea
s
ier
.
T
h
e
s
tu
d
y
in
ten
d
s
to
h
elp
e
-
tr
ailer
s
o
p
tim
ize
th
eir
web
s
ite
s
tr
u
ctu
r
e
f
o
r
c
o
m
p
etitiv
en
ess
an
d
to
h
elp
c
o
n
s
u
m
er
s
id
en
tif
y
au
th
en
tic
p
r
o
d
u
cts at
f
air
r
at
es b
y
ev
alu
atin
g
an
d
ass
es
s
in
g
e
-
co
m
m
er
ce
we
b
s
ites
.
T
h
is
wo
r
k
is
o
r
g
an
ize
d
as
f
o
llo
ws.
A
s
u
r
v
ey
o
f
t
h
e
liter
at
u
r
e
is
p
r
o
v
id
e
d
in
s
ec
tio
n
2
,
s
ec
tio
n
3
d
escr
ib
es
an
in
tellig
en
t
ap
p
r
o
ac
h
to
d
esig
n
in
g
b
ig
d
ata
f
o
r
e
-
co
m
m
er
ce
in
t
h
e
clo
u
d
c
o
m
p
u
tin
g
en
v
ir
o
n
m
en
t,
in
s
ec
tio
n
4
,
r
esu
lts
an
d
d
is
cu
s
s
io
n
s
ar
e
d
escr
ib
ed
,
a
n
d
in
s
ec
tio
n
5
co
n
clu
d
es th
e
p
ap
er
.
2.
L
I
T
E
R
AT
U
RE
SU
RVE
Y
I
n
[
1
3
]
,
th
e
p
latf
o
r
m
s
tr
u
ctu
r
e
o
f
cr
o
s
s
-
b
o
r
d
er
e
-
c
o
m
m
er
ce
'
s
co
m
m
e
r
cial
v
alu
e
o
f
b
ig
d
ata
an
aly
s
is
.
T
h
e
b
ig
d
ata
f
ea
tu
r
es
o
f
4
V
d
i
s
tr
ib
u
te
th
e
d
ata
p
r
o
ce
s
s
an
aly
s
is
o
f
b
u
s
in
ess
in
tellig
en
ce
ca
p
ab
ilit
ies.
T
h
ey
ar
e
ca
p
ab
le
in
m
a
n
y
wa
y
s
f
o
r
m
ar
k
etin
g
p
r
o
m
o
tio
n
,
im
p
r
o
v
e
cu
s
to
m
er
’
s
r
elatio
n
al
m
a
n
ag
e
m
en
t,
th
is
r
esear
ch
ex
am
in
es
th
at
b
ig
d
ata
ca
n
b
e
u
s
ed
t
o
in
cr
ea
s
e
o
p
er
at
io
n
al
ef
f
ec
tiv
e
n
ess
in
cr
o
s
s
-
b
o
r
d
er
lo
g
is
tics
f
o
r
e
-
co
m
m
er
ce
o
n
a
n
u
m
b
er
o
f
p
latf
o
r
m
s
.
T
h
e
en
ter
p
r
is
es
ar
e
p
r
o
v
id
e
d
f
o
r
co
-
r
elatio
n
an
d
m
o
b
ile+so
cial
n
etwo
r
k
m
a
r
k
etin
g
.
I
n
[
1
4
]
,
f
ir
s
tly
ex
p
o
u
n
d
ed
th
e
e
-
co
m
m
er
ce
s
y
s
tem
’
s
ac
tu
al
u
s
e
b
y
th
e
s
itu
atio
n
a
n
d
s
ec
o
n
d
ly
f
o
cu
s
ed
o
n
an
aly
zin
g
p
r
o
b
lem
s
th
at
ex
is
ts
in
e
-
co
m
m
er
ce
s
y
s
tem
is
u
s
ed
b
y
b
ig
d
ata
tech
n
o
l
o
g
y
.
Fin
ally
,
th
ey
o
f
f
e
r
ed
f
ea
s
ib
le
s
o
lu
tio
n
s
b
ased
o
n
p
r
ac
tical
p
r
o
b
lem
s
.
T
h
e
c
o
m
m
o
d
ities
o
f
b
ig
d
ata
in
m
in
in
g
m
ar
k
etin
g
ass
o
ciatio
n
,
it
is
f
o
u
n
d
th
at
t
h
e
m
o
d
el
is
a
p
p
lied
r
ea
s
o
n
ab
ly
in
f
iel
d
o
f
e
-
co
m
m
er
ce
th
e
c
o
r
r
elatio
n
c
o
m
m
o
d
ities
ar
e
n
o
t
en
h
an
ce
d
b
etwe
en
th
em
as
th
ey
en
s
u
r
e
m
o
r
e
s
co
p
e
o
f
t
h
e
b
ig
d
ata
m
in
in
g
ex
ten
s
iv
e.
Ao
k
i
et
a
l.
[
1
5
]
d
is
cu
s
s
es
ab
o
u
t
(
W
I
X)
W
eb
i
n
d
ex
ar
ch
itectu
r
e
s
y
s
tem
g
en
er
ate
h
y
p
er
lin
k
f
o
r
r
e
p
lacin
g
th
e
k
ey
wo
r
d
s
.
T
h
e
lin
k
s
ca
n
b
e
in
s
er
ted
in
to
we
b
p
a
g
es
b
y
cu
s
to
m
er
’
s
ch
o
ice
an
d
th
is
tu
r
n
r
e
d
u
ce
s
lo
a
d
o
f
h
is
/h
er
b
y
all
th
e
r
esu
lts
o
f
s
ea
r
ch
en
g
in
e
p
r
o
d
u
ce
d
b
y
we
b
.
Ho
we
v
er
,
if
a
k
ey
wo
r
d
ass
o
ciate
s
m
u
ltip
le
web
lin
k
s
,
t
h
en
t
h
e
d
escr
ib
ed
s
y
s
tem
’
s
m
ajo
r
lim
i
tatio
n
tim
e
is
tak
en
b
y
th
e
r
ele
v
an
ce
co
m
p
u
tatio
n
.
I
n
[
1
6
]
,
s
em
an
tic
an
d
n
eu
r
al
b
ased
e
co
m
m
er
ce
(
SNEC
)
alg
o
r
ith
m
d
ev
elo
p
ed
b
y
th
e
b
asis
o
f
v
ar
io
u
s
web
s
em
an
tics
an
d
ar
tific
ial
n
eu
r
al
n
etwo
r
k
s
o
f
in
tellig
en
t
t
ec
h
n
o
lo
g
y
.
I
n
th
is
p
ap
e
r
,
th
e
web
s
ite
p
r
io
r
ity
to
o
l
is
d
is
cu
s
s
ed
f
o
r
o
b
tain
in
g
ea
s
y
r
elev
an
t
r
an
k
i
n
g
ev
alu
atio
n
o
f
th
e
s
ea
r
ch
q
u
er
ies
in
e
-
co
m
m
er
ce
.
E
-
co
m
m
er
ce
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
A
n
in
tellig
en
t a
p
p
r
o
a
ch
to
d
es
ig
n
b
ig
d
a
ta
o
n
e
-
c
o
mme
r
ce
in
…
(
S
a
lma
S
ye
d
)
3441
web
s
ites
to
ass
i
s
t
th
e
cu
s
to
m
er
s
b
y
f
i
n
d
in
g
r
elev
a
n
t
web
s
ites
o
n
th
e
to
p
d
u
r
in
g
th
eir
s
ea
r
ch
f
o
r
b
u
y
in
g
a
s
p
ec
if
ic
p
r
o
d
u
ct
as
well
as
b
u
s
in
ess
e
s
to
co
m
p
ar
e
th
eir
s
tr
e
n
g
th
s
an
d
wea
k
n
ess
es
with
co
m
p
etito
r
s
an
d
h
e
n
ce
to
im
p
r
o
v
e
t
h
eir
p
r
o
f
its
b
y
p
r
o
v
id
in
g
r
elev
an
t
p
r
o
d
u
ct
at
co
m
p
etitiv
e
p
r
ice
with
co
n
s
u
m
er
-
f
r
ien
d
ly
s
er
v
ices
to
th
e
cu
s
to
m
er
s
b
y
b
etter
s
tr
u
ctu
r
in
g
th
eir
e
-
co
m
m
e
r
ce
web
s
ites
.
Au
jla
[
1
7
]
u
s
in
g
s
o
f
twar
e
-
d
e
f
in
ed
n
etwo
r
k
s
(
SDN)
,
in
a
m
u
ltied
g
e
-
clo
u
d
co
n
tex
t,
f
o
r
m
an
ag
in
g
d
ata
-
in
ten
s
iv
e
ap
p
licatio
n
s
,
a
n
ef
f
ec
tiv
e
wo
r
k
lo
ad
s
licin
g
m
eth
o
d
is
r
ec
o
m
m
en
d
e
d
.
U
s
in
g
a
m
u
ltil
ea
d
er
m
u
lti
-
f
o
llo
wer
Stack
elb
er
g
g
a
m
e
f
o
r
co
s
t
-
ef
f
icien
t
im
p
lem
e
n
tatio
n
,
th
e
s
tu
d
y
s
u
g
g
ests
an
en
er
g
y
-
awa
r
e
SDN
co
n
tr
o
l
s
tr
ateg
y
f
o
r
h
an
d
lin
g
i
n
ter
-
DC
m
ig
r
atio
n
s
.
Usi
n
g
a
n
u
m
b
er
o
f
m
ea
s
u
r
em
en
ts
,
g
o
o
g
le
wo
r
k
lo
a
d
tr
ac
es
ar
e
u
s
ed
to
e
v
alu
ate
th
e
e
f
f
ec
t
iv
en
ess
o
f
th
e
s
u
g
g
ested
s
tr
ateg
y
.
T
h
e
r
esu
lts
d
em
o
n
s
tr
ate
h
o
w
s
u
cc
ess
f
u
l
th
e
p
r
o
p
o
s
ed
s
tr
ateg
y
I
n
[
1
8
]
,
t
h
e
e
x
p
e
r
ie
n
ce
o
f
s
u
m
m
ar
ize
d
m
ar
k
eti
n
g
d
is
c
u
s
s
e
d
an
d
its
a
ct
u
al
a
cti
v
it
y
o
f
s
o
m
e
b
r
a
n
d
s
wer
e
a
d
o
p
te
d
f
r
o
m
th
e
p
r
ec
is
i
o
n
m
ar
k
eti
n
g
s
t
r
a
te
g
ies
.
w
e
d
ev
el
o
p
a
r
es
ea
r
c
h
m
o
d
el
b
ase
d
o
n
t
h
e
i
n
n
o
v
at
io
n
ch
ar
ac
t
er
is
ti
cs
f
r
o
m
t
h
e
d
i
f
f
u
s
io
n
o
f
i
n
n
o
v
a
ti
o
n
(
DO
I
)
th
e
o
r
y
an
d
t
h
e
t
ec
h
n
o
l
o
g
y
-
o
r
g
a
n
i
za
ti
o
n
-
e
n
v
ir
o
n
m
e
n
t
(
T
O
E
)
f
r
am
ew
o
r
k
.
Dat
a
co
lle
c
ted
f
r
o
m
3
6
9
f
i
r
m
s
i
n
P
o
r
t
u
g
al
a
r
e
u
s
ed
t
o
test
t
h
e
r
el
ate
d
h
y
p
o
t
h
eses
.
T
h
e
s
t
u
d
y
also
i
n
v
est
ig
at
es t
h
e
d
e
te
r
m
in
a
n
ts
o
f
cl
o
u
d
-
co
m
p
u
ti
n
g
a
d
o
p
ti
o
n
i
n
t
h
e
m
an
u
f
a
ct
u
r
in
g
a
n
d
s
e
r
v
ic
es s
ec
t
o
r
s
.
I
n
[
1
9
]
,
th
e
ef
f
ec
tiv
e
n
ess
o
f
u
s
in
g
th
e
n
o
r
m
al
d
is
tr
ib
u
tio
n
(
ND)
ap
p
r
o
ac
h
,
wh
ic
h
c
an
p
r
o
d
u
ce
r
ep
r
esen
tativ
e
in
f
o
r
m
atio
n
i
n
t
h
e
s
p
lit
d
ata
s
ets,
to
s
p
lit
an
d
h
an
d
le
lar
g
e
am
o
u
n
ts
o
f
m
e
d
ical
d
ata
in
a
clo
u
d
s
ettin
g
.
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
'
s
s
ig
n
if
ican
t
ef
f
icien
cy
ad
v
a
n
t
ag
es
o
v
er
co
n
v
en
tio
n
al
m
eth
o
d
s
with
o
u
t
d
i
v
id
in
g
d
ata
in
to
s
m
all
p
ar
titi
o
n
s
ar
e
d
em
o
n
s
tr
ated
b
y
th
e
r
esu
lts
o
f
ex
p
er
im
e
n
ts
.
T
h
e
ND
-
b
ased
ap
p
r
o
ac
h
ca
n
p
r
o
v
id
e
r
ep
r
esen
tativ
e
d
ata
s
ets,
m
ak
in
g
it
a
p
o
s
s
ib
le
an
d
e
f
f
icien
t
way
to
h
an
d
le
lar
g
e
a
m
o
u
n
ts
o
f
d
ata.
T
h
e
clo
u
d
co
m
p
u
tin
g
en
v
ir
o
n
m
e
n
t a
llo
ws f
o
r
th
e
p
a
r
allel
p
r
o
ce
s
s
in
g
o
f
t
h
e
d
iv
id
e
d
d
ata
s
ets.
I
n
[
2
0
]
,
n
ew
m
o
d
el
p
r
esen
te
d
f
o
r
web
s
er
v
ice
e
-
co
m
m
e
r
ce
o
f
tr
u
s
t
au
th
en
ticatin
g
s
er
v
ices
ar
e
co
m
p
r
is
ed
b
y
co
n
s
id
er
i
n
g
ad
d
itio
n
al
s
er
v
ice
o
b
ject
o
f
tr
u
s
t
d
eg
r
ee
an
d
th
eir
c
u
s
to
m
er
ev
a
lu
atio
n
is
co
m
p
u
te
d
b
y
s
er
v
ice
b
u
s
in
ess
.
T
h
e
s
er
v
ices
o
f
n
o
r
m
al
an
d
m
alicio
u
s
a
r
e
d
is
tin
g
u
is
h
ed
in
b
etwe
en
th
e
n
ew
t
r
u
s
t
m
o
d
el
f
o
r
s
h
o
win
g
th
e
r
esu
lts
b
y
s
im
u
latio
n
ex
p
er
im
en
t.
T
h
e
s
m
all
b
u
s
in
ess
id
en
tifie
s
th
e
u
p
g
r
ad
es
o
f
tr
u
s
t
v
alu
e
an
d
b
ig
s
u
m
b
u
s
in
ess
id
en
tifie
s
th
e
g
r
o
u
p
ch
ea
t
o
f
ef
f
ec
tiv
e
ac
tio
n
.
C
an
d
eia
et
a
l.
[
2
1
]
ex
am
in
e
d
ar
e
th
e
s
ig
n
if
ican
ce
o
f
ca
p
ac
it
y
p
lan
n
i
n
g
in
th
is
s
ettin
g
an
d
th
e
im
p
ac
t
o
n
SaaS
p
r
o
v
i
d
er
s
'
p
r
o
f
its
o
f
u
s
in
g
s
im
p
le
b
u
s
in
ess
-
d
r
iv
en
h
eu
r
is
tics
f
o
r
lo
n
g
-
ter
m
ca
p
ac
ity
p
lan
n
i
n
g
in
t
h
is
s
tu
d
y
.
Sy
n
th
etic
e
-
co
m
m
er
ce
wo
r
k
lo
ad
s
wer
e
u
s
ed
in
s
im
u
l
atio
n
r
esear
ch
.
Acc
o
r
d
in
g
to
o
u
r
d
ata,
th
e
av
e
r
ag
e
y
ea
r
ly
im
p
r
o
v
em
en
t
in
SaaS
p
r
o
v
id
e
r
p
r
o
f
it
d
u
e
to
th
e
s
u
g
g
ested
h
eu
r
is
tics
i
s
9
.
6
5
0
1
%.
B
y
ex
am
in
in
g
th
ese
r
esu
lts
,
we
ca
n
s
h
o
w
th
at
ca
p
a
city
p
lan
n
i
n
g
is
s
till
a
cr
u
cial
task
th
at
h
elp
s
SaaS
f
ir
m
s
m
a
k
e
lar
g
e
r
p
r
o
f
its
.
A
g
o
o
d
ca
p
ac
ity
p
la
n
n
in
g
ca
n
also
p
r
ev
en
t
a
n
eg
ativ
e
r
ep
u
tatio
n
th
at
m
i
g
h
t
o
cc
u
r
f
r
o
m
u
n
ac
ce
p
tab
le
p
er
f
o
r
m
an
ce
a
b
en
ef
it th
at
is
d
if
f
icu
lt to
m
ea
s
u
r
e.
I
n
[
2
2
]
,
th
is
s
tu
d
y
lo
o
k
s
in
to
th
e
ad
v
an
tag
es
o
f
e
-
co
m
m
er
c
e
b
ig
d
ata
an
aly
s
is
(
B
DA)
ad
o
p
tio
n
f
o
r
b
o
th
cu
s
to
m
er
s
an
d
s
eller
s
,
tak
in
g
in
to
co
n
s
id
er
atio
n
th
e
im
p
o
r
tan
ce
o
f
B
DA
an
d
its
ad
v
an
tag
es
f
o
r
e
-
co
m
m
er
ce
o
p
er
atio
n
s
.
I
n
o
r
d
er
to
g
iv
e
e
-
v
e
n
d
o
r
s
a
c
o
m
p
etitiv
e
ad
v
an
tag
e
,
im
p
r
o
v
e
co
n
s
u
m
er
lo
y
alty
,
an
d
in
cr
ea
s
e
p
r
o
f
its
,
th
e
s
tu
d
y
ex
am
in
es
th
e
ef
f
ec
ts
o
f
b
ig
d
at
a
an
aly
s
is
o
n
e
-
co
m
m
e
r
ce
.
A
d
d
itio
n
ally
,
B
DA
-
d
er
iv
ed
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
s
g
iv
e
clien
ts
a
m
o
r
e
p
er
s
o
n
alize
d
s
ea
r
ch
i
n
g
a
n
d
s
h
o
p
p
in
g
ex
p
er
ien
ce
.
T
h
er
e
m
ay
b
e
s
ig
n
if
ica
n
t
d
is
ad
v
an
tag
es
wh
en
u
s
in
g
B
DA
in
e
-
co
m
m
er
ce
,
s
u
ch
s
h
o
p
p
i
n
g
ad
d
ictio
n
.
Alth
o
u
g
h
B
DA
en
h
an
ce
s
e
-
co
m
m
er
ce
e
x
p
er
ien
ce
s
,
e
-
v
e
n
d
o
r
s
ex
p
er
ie
n
ce
d
if
f
icu
lties
in
m
an
ag
in
g
co
s
tly
B
DA
to
o
ls
an
d
p
r
o
f
ess
io
n
als d
u
e
to
th
e
r
a
p
id
g
r
o
wth
o
f
d
ata.
I
n
[
2
3
]
,
cr
o
s
s
-
p
latf
o
r
m
r
ec
o
m
m
en
d
atio
n
f
o
r
s
o
cial
e
-
co
m
m
er
ce
is
th
e
p
r
o
b
lem
we
ad
d
r
ess
ed
.
Usi
n
g
s
tan
d
ar
d
e
-
c
o
m
m
er
ce
ap
p
s
a
n
d
s
o
cial
m
ed
ia,
we
f
ir
s
t
lo
o
k
i
n
to
th
e
v
ar
ied
s
h
o
p
p
in
g
b
eh
av
io
r
s
o
f
u
s
er
s
.
B
ased
f
r
o
m
th
ese
d
ata
-
d
r
iv
e
n
r
esu
lts
,
we
p
r
o
v
id
e
c
r
o
s
s
-
p
latf
o
r
m
r
ec
o
m
m
en
d
atio
n
f
o
r
o
n
lin
e
s
h
o
p
p
in
g
i
n
s
o
cial
m
ed
ia
(
C
R
OS
S
)
,
an
ap
p
r
o
ac
h
f
o
r
cr
o
s
s
-
p
latf
o
r
m
r
ec
o
m
m
en
d
atio
n
f
o
r
o
n
lin
e
s
h
o
p
p
in
g
in
s
o
cial
m
ed
ia.
I
t
u
tili
ze
s
s
o
cial
r
elatio
n
d
ata
f
r
o
m
s
o
cial
m
ed
ia
i
n
a
d
d
itio
n
t
o
u
s
er
-
item
in
ter
ac
tio
n
d
ata
f
r
o
m
b
o
th
p
latf
o
r
m
s
.
Ou
r
two
p
r
o
p
o
s
ed
v
a
r
iatio
n
s
,
C
R
O
SS
-
MF
an
d
C
R
OS
S
-
NC
F,
ar
e
m
o
d
if
icatio
n
s
o
f
th
e
m
ain
s
tr
u
ctu
r
e.
T
h
e
y
s
h
o
w
th
r
o
u
g
h
ex
ten
s
iv
e
test
s
o
n
two
r
ea
l
-
wo
r
ld
s
o
cial
e
-
co
m
m
er
ce
d
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I
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etr
iev
e
d
r
elev
a
n
cy
v
ec
to
r
co
n
te
n
t.
T
h
e
R
V
alg
o
r
ith
m
d
eter
m
in
e
s
e
-
co
m
m
er
ce
web
s
ite’
s
r
ele
v
an
cy
u
s
ed
b
y
a
s
p
ec
if
ic
cu
s
to
m
er
f
o
r
ca
lcu
latin
g
co
n
te
n
t
r
elev
an
cy
v
ec
to
r
s
(
C
R
V)
,
s
em
an
tic
r
elev
an
cy
v
ec
t
o
r
(
SR
V)
,
r
ep
l
y
tim
e
,
p
r
iv
ac
y
,
f
ee
d
b
ac
k
an
d
also
ca
lcu
lates
ea
ch
s
ea
r
ch
s
tr
in
g
k
e
y
wo
r
d
’
s
m
i
n
im
u
m
an
d
m
a
x
im
u
m
le
n
g
th
s
.
T
h
e
lo
n
g
est
co
m
m
o
n
s
u
b
s
eq
u
en
ce
is
u
s
ed
f
o
r
d
eter
m
in
in
g
SR
V
an
d
th
e
Ma
p
R
ed
u
ce
f
u
n
ctio
n
s
ar
e
u
s
ed
f
o
r
d
et
er
m
in
in
g
C
R
V.
T
h
e
r
ep
ly
tim
e,
ac
ce
s
s
ib
ilit
y
o
r
p
r
i
v
ac
y
v
ec
to
r
’
s
f
i
n
al
o
u
tp
u
t
is
e
q
u
al
to
0
a
n
d
it
r
em
o
v
es
all
e
-
co
m
m
er
ce
we
b
s
ites
b
y
u
s
in
g
th
e
alg
o
r
ith
m
th
e
f
ee
d
b
ac
k
r
elev
a
n
cy
v
ec
t
o
r
’
s
ca
lc
u
latio
n
f
o
llo
win
g
t
h
e
p
r
ev
i
o
u
s
s
tag
e,
th
e
web
s
it
e
r
an
k
is
ca
lcu
lated
in
t
h
e
f
in
a
l
s
tep
b
ased
o
n
th
e
cu
s
to
m
er
'
s
p
ast
ex
p
er
ien
ce
an
d
th
e
r
e
lev
an
cy
v
ec
to
r
s
o
f
weig
h
ted
s
u
m
m
atio
n
.
T
h
e
p
e
r
f
o
r
m
an
ce
o
f
R
V
alg
o
r
ith
m
is
d
eter
m
in
ed
b
y
u
s
in
g
in
tellig
en
t
m
eta
s
ea
r
ch
s
y
s
te
m
ad
v
e
r
s
e
ev
en
ts
(
I
MSS
-
AE
)
to
o
l
an
d
th
e
b
r
o
wsi
n
g
h
is
to
r
y
is
u
s
ed
b
y
p
e
r
s
o
n
alize
d
,
e
x
p
an
d
e
d
s
ea
r
ch
s
tr
in
g
ar
e
s
u
g
g
ested
b
y
th
is
to
o
l.
T
h
e
p
r
ef
er
r
ed
s
ea
r
ch
cr
iter
ia
ar
e
u
s
ed
f
r
o
m
s
elec
ted
s
tatis
tics
d
etai
ls
o
f
cu
s
to
m
er
s
f
o
r
r
an
k
in
g
th
e
v
ar
i
o
u
s
lin
k
s
o
n
o
u
tp
u
t
p
r
o
v
id
es
th
e
f
ee
d
b
ac
k
o
f
web
lin
k
s
ab
o
u
t
r
an
k
ed
o
r
d
e
r
o
f
th
e
c
u
s
to
m
er
.
Hen
ce
th
e
cu
s
to
m
er
p
r
e
f
er
r
e
d
ch
a
n
g
es
ar
e
m
atc
h
ed
with
ca
p
ab
ilit
ies
o
f
p
e
r
s
o
n
alize
d
r
an
k
in
g
f
o
r
b
etter
im
p
r
o
v
em
e
n
t.
4.
RE
SU
L
T
S
AND
D
I
SCU
SS
I
O
N
T
h
e
e
-
c
o
m
m
er
ce
web
s
ite
o
f
p
er
s
o
n
alize
d
r
elev
an
cy
g
i
v
es
th
e
o
u
tp
u
t
o
f
s
ea
r
ch
r
esu
lts
d
ep
en
d
i
n
g
u
p
o
n
th
e
p
o
s
itio
n
o
f
p
r
o
d
u
ct
q
u
er
y
o
f
a
s
p
ec
if
ic
cu
s
to
m
er
an
d
ev
alu
ates
th
e
p
r
o
p
o
s
ed
R
V
alg
o
r
ith
m
,
I
MSS
-
AE
to
o
l
g
iv
es
ef
f
icien
cy
an
d
ef
f
ec
tiv
en
ess
.
Fro
m
th
e
v
ar
i
o
u
s
ag
e
g
r
o
u
p
s
o
f
1
5
-
4
5
y
ea
r
s
,
th
e
2
0
h
u
m
a
n
v
o
lu
n
teer
s
wer
e
e
m
p
lo
y
e
d
b
y
u
s
with
3
y
ea
r
s
o
f
m
in
i
m
u
m
e
x
p
er
ien
ce
i
n
ca
r
r
y
in
g
o
u
t
n
u
m
er
o
u
s
tr
an
s
ac
tio
n
s
o
f
e
-
c
o
m
m
er
ce
.
Am
o
n
g
t
h
em
th
er
e
ar
e
n
in
e
m
ale
an
d
elev
e
n
f
em
ale
v
o
lu
n
teer
s
an
d
to
f
o
l
lo
w
th
e
p
r
o
ce
s
s
o
f
s
ig
n
u
p
/r
eg
is
tr
atio
n
t
h
ey
u
s
ed
in
s
talled
I
MSS
-
AE
to
o
l
in
th
e
ir
p
er
s
o
n
al
lap
to
p
s
.
T
h
e
f
o
llo
win
g
s
tep
s
m
u
s
t
b
e
r
ep
ea
ted
b
y
v
o
lu
n
teer
s
f
o
r
a
m
in
im
u
m
o
f
f
o
u
r
tr
ial
r
u
n
s
o
n
b
o
th
th
e
s
u
g
g
ested
I
MSS
-
AE
T
o
o
l a
n
d
Do
g
p
ile.
A
m
etasear
ch
en
g
in
e
ca
lled
Do
g
p
ile
co
llects
d
ata
f
r
o
m
p
o
p
u
lar
s
ea
r
ch
en
g
in
es
in
clu
d
in
g
Go
o
g
le,
Yah
o
o
!
,
Yan
d
ex
,
an
d
B
in
g
.
I
n
itially
,
we
r
eq
u
ested
th
at
v
o
lu
n
teer
s
lo
o
k
f
o
r
in
ten
tio
n
ally
in
c
o
m
p
lete
e
-
co
m
m
er
ce
q
u
er
ies.
Fo
r
ex
am
p
le,
th
e
y
co
u
ld
s
ea
r
ch
f
o
r
“
Sam
s
u
n
g
o
n
lin
e
p
u
r
ch
ase
”
r
ath
er
th
a
n
“
Sam
s
u
n
g
m
o
b
ile
o
n
lin
e
p
u
r
ch
ase
2
.
”
T
h
e
f
o
llo
win
g
p
h
ase
was
ask
in
g
v
o
lu
n
teer
s
to
r
ate
ea
ch
o
u
tp
u
t
co
n
n
ec
tio
n
f
o
r
t
h
e
Do
g
p
ile
en
g
in
e
a
n
d
th
e
s
u
g
g
ested
I
MSS
-
AE
to
o
l
in
d
iv
id
u
ally
,
f
r
o
m
1
(
wo
r
s
t)
t
o
5
(
b
est).
C
alcu
late
n
u
m
er
o
u
s
ac
cu
r
ac
y
f
ac
to
r
s
s
u
ch
as
p
er
s
o
n
alize
d
r
elev
an
c
y
,
p
ag
e
f
r
es
h
n
ess
,
an
d
r
esp
o
n
s
e
tim
e
af
ter
o
b
tain
in
g
r
an
k
in
g
d
ata
f
r
o
m
ea
ch
v
o
lu
n
teer
.
Fig
u
r
e
2
d
em
o
n
s
tr
ates a
co
m
p
ar
ativ
e
ex
am
in
atio
n
o
f
an
in
tellig
en
t a
p
p
r
o
ac
h
to
d
esig
n
in
g
b
ig
d
ata
o
n
e
-
co
m
m
er
ce
u
tili
zin
g
.
W
h
en
c
r
ea
tin
g
b
ig
d
ata
f
o
r
e
-
c
o
m
m
er
ce
,
th
e
I
MSS
-
AE
to
o
l
p
er
f
o
r
m
s
b
etter
in
ter
m
s
o
f
r
esp
o
n
s
e
tim
e
th
an
Do
g
p
ile,
d
em
o
n
s
tr
atin
g
its
ef
f
icien
cy
in
th
e
m
etasear
ch
en
g
in
e.
I
n
th
is
g
r
ap
h
x
-
ax
is
d
en
o
tes
th
e
n
u
m
b
er
o
f
r
u
n
s
an
d
Y
-
ax
is
d
en
o
tes
th
e
r
esp
o
n
s
e
tim
e
in
s
ec
o
n
d
s
.
T
h
e
co
m
p
a
r
ativ
e
an
aly
s
is
o
f
an
in
tellig
en
t
ap
p
r
o
ac
h
to
d
esig
n
b
ig
d
ata
o
n
e
-
co
m
m
er
c
e
u
s
in
g
d
escr
ib
ed
I
MSS
-
AE
to
o
l
an
d
Do
g
p
ile
in
ter
m
s
o
f
p
ag
e
f
r
esh
n
ess
(
as
p
r
ec
is
io
n
co
u
n
t
)
is
r
ep
r
esen
ted
in
Fig
u
r
e
3
.
At
in
itial
s
tag
e
th
ese
p
ar
am
eter
v
alu
es
ar
e
lo
w
co
m
p
ar
e
d
to
Do
g
p
ile,
af
t
er
s
o
m
e
tr
ail
r
u
n
s
in
itial
p
r
ec
is
io
n
v
alu
es
o
f
I
MSS
-
AE
to
o
l
ar
e
h
ig
h
.
X
-
ax
is
p
r
esen
ts
th
e
n
u
m
b
er
o
f
r
u
n
s
an
d
y
-
a
x
is
r
ep
r
esen
ts
th
e
p
a
g
e
f
r
esh
n
ess
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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2
0
8
8
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8
7
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8
I
n
t J E
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&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
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20
25
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3
4
3
9
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3
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Fig
u
r
e
4
s
h
o
ws
th
e
co
m
p
ar
ati
v
e
an
aly
s
is
o
f
p
er
s
o
n
alize
d
r
e
lev
an
cy
(
as
p
r
ec
is
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n
co
u
n
t)
p
ar
am
eter
f
o
r
an
in
tellig
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p
r
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ig
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ata
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ce
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MSS
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to
o
l
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d
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g
p
ile
m
etasear
ch
en
g
in
e.
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m
p
r
o
v
ed
p
er
f
o
r
m
an
ce
o
f
I
MSS
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AE
to
o
l
is
b
ec
au
s
e
o
f
ca
p
ab
ilit
ies
o
f
s
em
an
tic
b
ased
lear
n
in
g
.
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h
is
ca
lcu
lates
th
e
v
ar
io
u
s
im
p
o
r
tan
t v
ec
to
r
s
o
f
r
el
ev
an
cy
f
o
r
th
e
d
atab
ase
o
f
cu
s
to
m
er
s
p
r
o
f
ile
with
s
o
m
e
tr
ial
r
u
n
s
it
m
o
n
ito
r
s
h
is
/h
er
p
er
s
o
n
alize
d
b
r
o
wsi
n
g
p
r
ef
e
r
en
ce
s
.
I
n
th
is
co
m
p
ar
ativ
e
g
r
ap
h
ical
r
ep
r
esen
tatio
n
,
n
u
m
b
er
o
f
r
u
n
s
is
d
en
o
ted
o
n
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-
ax
is
an
d
Per
s
o
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alize
d
r
elev
a
n
cy
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en
o
ted
o
n
Y
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a
x
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h
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ter
m
Hit
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ed
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en
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e
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ested
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o
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m
en
t
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ch
e
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d
r
eq
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est
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ati
s
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ied
im
m
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iately
.
Oth
er
wis
e,
th
e
d
o
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m
e
n
t
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etr
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o
m
th
e
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ig
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al
s
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ich
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o
th
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g
b
u
t
r
eq
u
e
s
t
is
m
is
s
.
Fig
u
r
e
5
s
h
o
w
p
er
f
o
r
m
an
ce
o
f
R
V
p
a
g
e
r
an
k
i
n
g
al
g
o
r
ith
m
f
o
r
v
ar
io
u
s
p
r
ef
etch
in
g
th
r
esh
o
ld
v
alu
es
o
f
0
.
2
5
a
n
d
0
.
5
b
y
th
e
an
aly
s
is
o
f
h
it
r
ate.
T
h
r
esh
o
ld
v
alu
e
is
ex
p
r
ess
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o
n
X
-
ax
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d
h
it
r
ate
is
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p
r
ess
ed
o
n
Y
-
ax
is
.
Fo
r
b
o
t
h
th
r
esh
o
ld
v
al
u
es Hit
r
ate
o
f
I
MSS
-
AE
to
o
l w
ith
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V
alg
o
r
ith
m
is
h
ig
h
c
o
m
p
ar
e
d
to
with
o
u
t RV a
lg
o
r
ith
m
.
T
h
er
ef
o
r
e,
f
r
o
m
r
esu
lts
it
is
o
b
s
er
v
ed
th
at,
an
in
tellig
en
t
ap
p
r
o
ac
h
to
d
esig
n
b
ig
d
ata
o
n
e
-
co
m
m
er
ce
in
clo
u
d
co
m
p
u
tin
g
en
v
ir
o
n
m
en
t
is
v
er
y
ef
f
icien
t
in
ter
m
s
o
f
all
p
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4
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A
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[
1
5
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Y
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1
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1
7
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.
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8
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[
1
9
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3
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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1
2
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e
a
rs.
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a
re
a
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f
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n
tere
st
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in
f
o
rm
a
ti
o
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tri
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v
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l,
m
a
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rn
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d
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p
lea
rn
in
g
,
m
a
c
h
in
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tran
sla
ti
o
n
.
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is
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fe
m
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m
b
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r
o
f
C
o
m
p
u
ter
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iet
y
o
f
I
n
d
ia
(CS
I),
In
stit
u
te
o
f
E
n
g
in
e
e
rs (IE
).
He
c
a
n
b
e
c
o
n
tac
ted
a
t
b
u
d
d
a
ra
ju
.
n
a
ra
sim
h
a
ra
ju
@g
m
a
il
.
c
o
m
.
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