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y g o l o n h c e T f o y ti s r e v i n U u li Q , e t u ti t s n I h c r a e s e R n o it a m r o f n I a n i h C , n a n i J , ) s e c n e i c S f o y m e d a c A g n o d n a h S ( : s d r o w y eK Bigdata, Talen tdemand, Quanttiaitveanalysis.
t c a r t s b
A . In order to solve the problems in manua l analysis of regiona l talen t demand , a t n e l a t f o a i d e m e v i s s e r p x e g n i t a c o l y b , y l t s r i F . d e s o p o r p s i a t a d g i b n o d e s a b s i s y l a n a e v i t a t i t n a u q s e r a s e c r u o s a t a d t e g r a t , d n a m e
d pecified and then analysis objects defined as indices can be n e h t d n a , s n o i t c n u f o t g n i d r o c c a d e i f i s s a l c e r a s e p y t s i s y l a n a d n a s e c i d n i , y l d n o c e S . d e t c a r t x e t a z i l a u s i v o w t , y l l a n i F . s e c i d n i f o s e i t r e p o r p t n e r e f f i d t a g n i m i a d e t n e s e r p e r a s n o i t u l o s s i s y l a n
a ion
. s r e s u t n e r e f f i d r o f d e d i v o r p e r a s e d o m n o it c u d o r t n I y lt a e r g t i , t n e m p o l e v e d c i m o n o c e l a n o i g e r e h t f o t n e m e l e c i s a b s i ) t r o h s r o f R H ( e c r u o s e r n a m u H c i m o n o c e l a n o i g e r f o s ti f e n e b d n a y ti l i b a n o it it e p m o c , l a i t n e t o p , e t a r , d n e r t e h t s e c n e u l f n
i [1] .
e h
T reforeadministraitvedepartmentsa tal llevels ,fromthenationorprovinceto thecityorcounty , e h t h t i w n e h T . y l e v it i u t n i d n a y l e v i t a ti t n a u q s n o i g e r n w o r i e h t f o d n a m e d R H e t a u l a v e o t t c e p x e t n e l a t d n a s e i g e t a r t s R H p u w a r d n a c y e h t , n o it a u l a v e d n a m e
d introduciton policies to promote t n e m p o l e v e d c i m o n o c
e 2[ - .4 ]
y e v r u s g n il p m a s f o s e r i a n n o it s e u q n o d e s a b y ll a u s u e r a s t r o p e r d n a m e d R H t n e r r u
C 5[ ,6] .By
e b d l u o c s n o i s u l c n o c e v it a ti l a u q , r o b a l l a u n a m y b d e t c e ll o c y l l a u s u s i h c i h w a t a d e h t g n i z y l a n a d i v o r
p edbyt hereports .However,t herearet hreekindsofproblemsi nt hismethod.
e n o s i t a h t , d e n i f e d e r p e b d l u o h s t r o p e r f o c i p o t e h t s i s y l a n a e r o f e B . d e ti m il s i e p o c s e h t , y l t s r i F e m i t , y t i c a p a c t s y l a n a n o g n i d n e p e D . e m it e n o t e g r a t e n o e v a h y l n o n a c t r o p e
r ilmti ,materia l
n o i s n e m i d s i s y l a n a e h t , d e z il a r t n e c e d e b t o n d l u o h s t e g r a t e h t t a h t d e n i m r e t e d t i . c t e , n o i t c i r t s e r e t a r e n e g o t y l d r a h s i t i e r o f e r e h T . g n o l o s e b t o n d l u o h s n a p s e m i t e h t d n a , e v i s s e c x e e b t o n d l u o h s it l u
m -reports simutlaneously ,and the generated repor tis mainly using limtied indicesto conclude . s r a e y e v i f n i h t i w y r t s u d n i e n o r o d l e i f e n o f o t n e m p o l e v e d e h t t c i d e r p d n a o t e m it g n o l a s e k a t y l l a u s u t i , c i p o t g n i n i f e d r e t f A . g n i m u s n o c e m it s i s s e c o r p e h t , y l d n o c e S n i g i r o m o r f a t a d t c e ll o
c a ldocumentswhich are recorded in archiva lfiles ilke yearbooks ,annuals , l a c o l l a i c n i v o r
p -records ,etc .Normally archives are edtied a tthe beginning of nex tyear ,they can o e s a e r c n i e h t h ti w e r o m r e h t r u F . e m i t l a e r n i n o it a u t i s R H t n e r r u c t c e l f e r y l d r a
h f indicesand itme
a t a d s e d i s e B . d e c u d e r e b l li w y ti li b a il e r e h t d n a s u o u d r a e r o m e b l l i w n o i t c e ll o c a t a d e h t , n a p s e d a t a d f o r o t i d e e l u r e h t , n o it c e ll o
c -noisingandt heconstructionofanalyitca lmode lcos tmuchl abor d il a v e h t r e v o e r o M . ll e w s a e m it d n
a tiy of constructed analyitca lmode lcanno tbe tested before f o s s e c o r p e h t , n o it a u t i s l a u t c a m o r f d e t a i v e d e r a t r o p e r y b d e d i v o r p s tl u s e r e h t n e h W . d e h s i n i f t r o p e r w , e c n o n a h t e r o m d e t a r e t i e b d l u o h s n o i t a r e n e g t r o p e r d n a s i s y l a n a a t a d , n o it c u r t s n o c l e d o
m hich
. g n i m u s n o c e m it e r o m s e c u d n i e r a l e d o m l a c i t y l a n a d n a a t a d e h t , y l d r i h
T n -on reusable .Due to thefactors ilke staff ,targe tand a t a d s a h c u s s m e l b o r p f o s e i r e s a s g n i r b t i , r e h t o n a e n o m o r f t n e r e f f i d e r a n o i t c n u f l e d o m a , n o it a l o s i l e d o m , n o it a t n e m g a r
f nd so on .Even history reports have been accumulated ,the data , . s k r o w g n i w o ll o f n i d e il p p a e b y l d r a h n a c s t r o p e r e h t n i d e s u s r e t e m a r a p d n a s l e d o m , s e c i d n i d n a s e i r t s u d n i s u o i r a v m o r f d n a m e d R H t e g o t t n e i n e v n o c s i t i , ” a t a d g i b “ a r e g n i m o c e h t h t i W d l e i
e e r h t e v o b a e v l o s y l e v it c e f f e n a c t i , m r o f t a l p s i s y l a n a d n a m e
d problems which are brough tby .
s i s y l a n a e v i t a ti t n a u q r o f n o it u l o s e d i v o r p d n a , s i s y l a n a l a u n a m
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e c r u o s a t a d t e g r a t e t a c o l o t t n a t r o p m i s i ti e r o f e r e h t , a t a d s i s i s y l a n a d n a m e d R H f o n o i t a d n u o f e h
T s .
s a h c u s , s n o i t a z i n a g r o s u o i r a v y b d e r e t s a m s i d n a m e d R H f o n o it a m r o f n i e h t , y lt n e r r u C
d e h s il b u p y l e v it i u t n i s i t i d n a , n o o s d n a , s e s i r p r e t n e , s n o it u t it s n i c i l b u p , s t n e m t r a p e d e v i t a r t s i n i m d a
u o u n it n o c y B . t c e j b o s i s y l a n a d e s u e b n a c h c i h w t n e m t i u r c e r s
a sly crawilng recrutimen tratherthan d e t n e s e r p e r y l e v i t c a n a c t i , y e v r u s e r i a n n o it s e u q r o g n il p m a s s a h c u s y a w l a u n a m y l b a n i a t s u s n u
. y l t n e i c i f f e e r o m e m i t l a e r n i d n a m e d n i s e g n a h c
i w g n i n i b m o C . d e z y l a n a e b d l u o h s t n e m t i u r c e r e h t n i n o it a m r o f n i e h t l l a t o
N thanalysist arge tand
, e g a , n o i t a c u d e , y r a l a s , n o it i s o p , b o j : d e t c a r t x e e b d l u o h s t c e j b o g n i w o ll o f e h t , s t n e m ti u r c e r s u o i r a v
, s e i t r e p o r p l a n o i t a z i n a g r o , y r t s u d n i , e z i s n o i t a z i n a g r o , e m a n n o i t a z i n a g r o , t n e m y o l p m e f o h t g n e l
e r , y t u d , e r a f l e w , r e b m u n t i u r c e
r quirement ,place ,release itme ,etc .Eachobjec tisclassified asone s
r o t a c i d n i f o t s i l m r o f t n e m t i u r c e r m o r f d e t c a r t x e s t c e j b o e h t l l a d n a , x e d n
i .
n o it a z i d r a d n a t S
t s n a e m t i , n o i r e ti r c d e i f i n u o n e v a h s n o it a z i n a g r o t n e r e f f i d y b d e h s il b u p s t n e m ti u r c e r e h
T ha tthe
e h t e k a T . m e t s y s x e d n i y n a e s u n a c s n o it a z i n a g r o t n e r e f f i d m o r f s t n e m ti u r c e r n i d e s u s r o t a c i d n i
. d e s u g n i e b s m e t s y s x e d n i x i s n a h t e r o m e r a e r e h t , e l p m a x e n a r o f s e it r e p o r p l a n o it a z i n a g r o x e d n i
r e t n e l a n o i t a n , n a g r o e t a t S “ e s u s n o i t a z i n a g r o f o t r a
P prise ,insttiuiton ,socia lorganization ,collective n
g i e r o f d n a e s i r p r e t n e e t a v i r p , e s i r p r e t n
e -fundedenterprises”asclassificationofi ndexsystem .Some y r a m i r p d n a y r a d n o c e s , ti n u n o i t a c u d e r e h g i h , ti n u D & R , n a g r o t n e m n r e v o g d n a y t r a p “ e s u
i n u n o i t a c u d
e t ,medica land health unti ,hard industryand pubilcinsittuiton ,otherinsttiution ,state -n
g i e r o f , e s i r p r e t n e d e n w
o -funded enterprise ,hardindustry enterprise ,otherenterpriseand troop”as u
n e t o n e r a s m e t s y s x e d n i r e h t O . m e t s y s x e d n i f o n o i t a c i f i s s a l
c meratedhere.
e h t e k a T . r e h ti e n o i r e t i r c d e i f i n u o n s a h x e d n i e n o f o e u l a v e h t , s m e t s y s x e d n i t n e r e f f i d m o r f t r a p A
s a ” o r c i m r o l l a m s , m u i d e m , e g r a L “ e s u n o i t a z i n a g r o f o t r a P . e l p m a x e n a s a e z i s n o it a z i n a g r o x e d n i
e b m u n e h t e s u e m o S . x e d n i e h t f o e u l a v e h
t rofpeopleemployedast hevalueoft hei ndex.
m e t s y s x e d n i s i e n o : s d n i k o w t o t n i d e d i v i d e b n a c n o it a z i d r a d n a t s e h t , y r a m m u s n I
. n o i t a z i d r a d n a t s e u l a v x e d n i s i r e h t o e h t d n a , n o i t a z i d r a d n a t s
x e d n
I SystemStandardiza iton .In thecaseofinconsisten tindexsystems ,ontology canbeused n o m m o c t s o m e n o k c i p y l t s r i F . t p e c n o c e m a s e h t o t s e c i d n i t n e r e f f i d t c e l f e r o t n o i r e ti r c c i t n a m e s s a
d n a y g o l o t n o t c u r t s n o c o t t p e c n o c s a x e d n i e h t e s u y l d n o c e S . m e t s y s x e d n i d r a d n a t s s a m e t s y s x e d n i
f o y h c r a r e i h e h t t c e l f e
r index system to the “subClassOf” relation of ontology .Finally measure d n a , y g o l o t n o m o r f s t p e c n o c h ti w s m e t s y s x e d n i r e h t o m o r f x e d n i n e e w t e b y t i r a li m i s c i t n a m e s
s i “ e h t y B . t p e c n o c r a li m i s t s o m e h t f o e c n a t s n i e h t s a x e d n i e h t e r a l c e
d -a”relaiton differen tindex .
n o i r e t i r c e n o o t d e i f i n u e b n a c s m e t s y s
x e d n
I ValueStandardiza iton .Int hecaseofi nconsisten tvalue ,cross-referencesorformulascan t c e l f e r n e h T . e u l a v d r a d n a t s s a t n e m n g i s s a f o d n i k e n o e n i f e d y l t s r i F . e u l a v y f i n u o t d e s u e b
u l a v t n e r e f f i
d est ot hedefinedassignmen twithcross-referencesorformulas.
e v it a ti t n a u
Q Analy is so fRegiona lTalen tDemand x
e d n
I Clas is ifca iton
: s e p y t r u o f o t n i d e d i v i d e b n a c t n e m ti u r c e r m o r f d e t c a r t x e s e c i d n i e h t , n o it c n u f e h t o t g n i d r o c c A
e m i t , n o i s n e m i d l a n o i g e
r dimension,t arge tdimension ,andconstrain tdimension.
n o i s n e m i d l a n o i g e R . d e z y l a n a e b l l i w t a h t n o i g e r t e g r a t e h t t e s o t d e s u s i n o i s n e m i d l a n o i g e R
t n e l a t d n a , n o i g e r e n o f o s i s y l a n a d n a m e d t n e l a t : s d n i k o w t o t n i d e d i v i d e b n a c s i s y l a n
a demand
. n o i g e r i tl u m g n o m a s i s y l a n a e v it a r a p m o c
• Timedimension
e b n a c s i s y l a n a n o i s n e m i d e m i T . d e z y l a n a e b l l i w t a h t n a p s e m it e h t t e s o t d e s u s i n o i s n e m i d e m i T
o it u l o v e d n a , n a p s e m it n i a t r e c a n i s i s y l a n a e v i t a t it n a u q c i p o c s o r c a m : s d n i k o w t o t n i d e d i v i
d n
. s d o i r e p l a r e v e s r e v o s i s y l a n a
• Targe tdimension
e r a t n e l a t f o s d n i k t a h w t a h t s e s u w o h s o t s i s i s y l a n a d n a m e d t n e l a t f o e s o p r u p l a t n e m a d n u f e h T
h c i h w , s e c i d n i e v i f e r o f e r e h T . t e g n a c s t n e l a t t n e m t a e r t t a h w , d e d e e n e r a e l p o e p y n a m w o h , d e d e e n
t i u r c e r e r
a number ,salary ,welfare ,duty ,andrequirement ,areassignedtotarge tdimension .Inthese l
a v r e t n i e r a y r a l a s d n a r e b m u n t i u r c e r , s e c i d n
i -scaled properties which can be presented resul tby s
e r d e t n e s e r p e b n a c h c i h w y t r e p o r p l a n i m o n s i e r a f l e W . e u l a v n a e
m ul tby mode .Duty and
. s n r e tt a p t n e u q e r f y b t l u s e r d e t n e s e r p e b n a c h c i h w s t x e t e r a t n e m e r i u q e r
• Constrain tdimension
t p e c x e s e c i d n i r e h t o e h t l l A . s i s y l a n a f o s n o it i d n o c e v it c i r t s e r t e s o t d e s u s i n o i s n e m i d t n i a r t s n o C
m it , n o i s n e m i d l a n o i g e r n i s e c i d n i e h
t e dimension and targe t dimension belong to constrain t .
c t e , y r t s u d n i , e z i s n o it a z i n a g r o , e g a , n o i t a c u d e , n o i ti s o p , b o j s n i a t n o c h c i h w n o i s n e m i d
s is y l a n
A Types
t n e r e f f i d m o r f s e c i d n i t n e r e f f i d g n i b m o c y b d e n i a t b o e b n a c s t l u s e r s i s y l a n a f o s e p y t s u o i r a V
m i
d ensions . In order to make the analysis results easier to understand , by indices pairwise : s e p y t r u o f o t n i d e d i v i d e b n a c s e s y l a n a , n o i s n e m i d e m it d n a n o i s n e m i d l a n o i g e r m o r f n o it a n i b m o c
e p y
t I analysis,t ype II analysis,t ype II I analysis ,andt ype VI analysis.
• Type I analysis e
p y
T I analysisis macroscopicquanittativeanalysis in acertain itmespan for oneregion .I tcan .
y r o t s i h f o n a p s e m it n i a t r e c a n i n o i t a u ti s e h t r o n o i t a u t i s t n e l a t t n e r r u c t n e s e r p
• Type II analysis e
p y
T II analysisisevolutionanalysisoversevera lperiodsforoneregion .I tpresentsthechanges .
s d o i r e p l a r e v e s r e v o n o i t a u t i s t n e l a t f o
• Type II I analysis e
p y
T II I analysisiscomparaitvely quanttiaitveanalysisforsevera lregions .By comparing talen t i
s n o i g e r l a r e v e s f o s n o i t a u ti
s tcanpresen tquanttiaitvedifferencesamongt hemdireclty.
• Type VI analysis e
p y
T VI analysisiscomparaitvely evoluitonanalysisoversevera lperiodsforsevera lregions .By s
t n e s e r p t i , s d o i r e p t n e r e f f i d n i s n o i g e r l a r e v e s f o s n o it a u t i s t n e l a t g n i r a p m o
c the differences in
. s n o i t u l o v e n o i g e r t n e r e f f i d
g n i z y l a n
A Solu iton
l a v r e t n i : s e p y t e e r h t o t n i d e i f i s s a l c e b n a c n o i s n e m i d t e g r a t n i s e c i d n i e h t d e n o it n e m e v o b a s
A -scaled
, e r a f l e w s i h c i h w y t r e p o r p l a n i m o n , y r a l a s d n a r e b m u n t i u r c e r n i a t n o c h c i h w s e it r e p o r
p and tex t
e s e h t r o f s n o it u l o s e h t e c u d o r t n i l li w g n i w o l l o f e h T . t n e m e r i u q e r d n a y t u d n i a t n o c h c i h w s e it r e p o r p
. y l e v i t c e p s e r s e it r e p o r p f o s e p y t e e r h t
r o f n o it u l o
S Interval-scaled Properite .s (1) Record the selection sequence of indices from e
m i d t n i a r t s n o
c nsion.
m o r f s e c i d n i f o s e u l a v , n o i s n e m i d t n i a r t s n o c m o r f s e c i d n i y l r e d r o f o s e u l a v d r o c e r y l l a it n e u q e S ) 2 (
a o t x e d n i e n o t r e v n o c n e h t d n a , n o i s n e m i d e m i t m o r f s e c i d n i f o s e u l a v d n a , n o i s n e m i d l a n o i g e r
. d e d r o c e r e r a x e d n i e h t f o s e u l a v h c i h w n i r o t c e v
r a p
A tfromindicesfromtarge tdimension ,forexample ,ifthereareidxn indicesarechecked ,and x
e d n I _ n e s o h C e r a s e c i d n i d e t c e l e s e h
t 1 ,Chose_Index2, ,... Chose_Indexidxn ,correspondingly the
n a _ e s o h C e r a x e d n i h c a e r o f s e u l a v f o s r e b m u
x e d n I _ e s o h C e r a s e u l a
v 1_Atb1 ,Chose_Index1_Atb2 ,… ,Chosen_Index1_Atban1 ,Chose_Index2_Atb1 ,
x e d n I _ e s o h
C 2_Atb2 ,… ,Chose_Index2_Atban2 ,… ,Chose_Indexidxn_Atb1 ,Chose_Indexidxn_Atb2 ,… ,
x e d n I _ e s o h
C idxn_Atbanidxn.
e r e h t n e h
T are idxn vectors converted from indices ,the tih vector is converted from index x
e d n I _ e s o h
C i ,thel engthofi thvectori sChose_ani ,andt hevaluesofvectorareChose_Indexi_Atb1 ,
x e d n I _ n e s o h
C i_Atb2 ,… ,Chose_Indexi_Atbanirespectively.
) 3
( Combinet hevectorst oanunequall engthmatrix ,andt akeoutt hefirs telementi nt hefirs trow s a e e r t e h t t i t r e v n o c d n a t s r i f h t p e d o t g n i d r o c c a x i r t a m e h t e s r e v a r t n e h t , e e r t f o t o o r s a x i r t a m e h t f o
n i n w o h
s Figure1.
e h t n i t n e m e l e t s r i f e h t h t i w e e r T . 1 e r u g i
F firs trowoft hematrixasroot.
e h t e s r e v a r t n e h t , e e r t f o t o o r s a x i r t a m e h t f o w o r t s r i f e h t n i t n e m e l e t n e u q e s b u s t u o e k a T ) 4 (
. e e r t e h t ti t r e v n o c d n a t s r i f h t p e d o t g n i d r o c c a x i r t a m
. y t p m e s i w o r t s r i f e h t n i t n e m e l e e h t l it n u , ) 4 ( p e t s e t a r e t I ) 5 (
(6)Accordingt ot hesequenceoft hefirs trow ,arranget herootsoft reesandconstruc tafores twith n
a _ e s o h C e r a e r e h T . s p e t s s u o i v e r p e h t n i s e e r t d e t a r e n e g e h
t 1treesi nt hefores.t
e n o y b e n o t h g i r o t t f e l m o r f t s e r o f e h t n i s e e r t e h t k c i p y lt s r i F ) 7
( .Andt henforeacht reet raverse s a h c u s , s e v a e l o t t o o r e h t m o r f s h t a p l l u f e h t l l a d r o c e r , t s r i f h t p e d o t g n i d r o c c a e e r t e h t
x e d n I _ e s o h C
[ 1_Atb1->Chose_Index2_Atb1->Chose_Index3_Atb1 ->… ->Chose_Indexidxn_Atb1] ,
x e d n I _ e s o h C
[ 1_Atb1->Chose_Index2_ bAt 1->Chose_Index3_Atb1 ->… ->Chose_Indexidxn_Atb2] ,
x e d n I _ e s o h C [ ,
… 1_Atb1 -> Chose_Index2_Atb1 -> Chose_Index3_Atb1 -> … - >
x e d n I _ e s o h
C idxn_Atbanidxn] ,etc .ThereareChose_an1×Chosen_an2×…×Chose_anidxnpathst otally.
) 8
( Turn one path to a query rule . For example , the path [Chose_Index1_Atb1 - >
x e d n I _ e s o h
C 2_Atb1-> Chose_Index3_Atb1 -> … -> Chose_Indexidxn_Atb1] can be turned to the
x e d n I _ e s o h C e l u r y r e u
q 1 matches Chose_Index1_Atb1 And Chose_Index2 matches
x e d n I _ e s o h
C 2_Atb1 And Chose_Index3 matches Chose_Index3_Atb1 And … And Chose_Indexidxn
x e d n I _ e s o h C s e h c t a
m idxn_Atb1 .ThereareChose_an1×Chosen_an2×…×Chose_anidxnrulestotally.
o t y r e u q e h t d e h c t a m a t a d e h t l l a t u p d n a , y ll a it n e u q e s s e l u r y r e u q h t i w e s a b a t a d n i h c r a e S ) 9 (
t e s a t a D i.
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I i and assign the
t l u s e R o t e u l a
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) 0 1
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o f n o it u l o
S Nomina lProperty .Int heanalysisofi ndexwelfare,t hefirs t8stepsaresamet ot he y
lt c e r i d e b n a c ) 8 ( p e t s o t ) 1 ( p e t s m o r f , y r a l a s r o r e b m u n t i u r c e r x e d n i f o s i s y l a n
a used in query
. e r a f l e w r o f n o it a r e n e g s e l u r
o t y r e u q e h t d e h c t a m a t a d e h t l l a t u p d n a , y ll a it n e u q e s s e l u r y r e u q h t i w e s a b a t a d n i h c r a e S ) 9 (
t e s a t a
D i .Coun tthe number of each welfare in Dataseti ,and construc tse tWelfareSeti to record
a d e r r u c c o s e r a f l e
w ndse tWelfareQuanittySetitorecordt henumberofwelfares.
) 9 ( p e t s e t a r e t I ) 0 1
( Chose_an1×Chosen_an2×…×Chose_anidxn times ,then compare al lthe se t
t e S y ti t n a u Q e r a f l e
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r a f l e
W eQuanttiySetirespectively. r
o f n o it u l o
S Tex tProper ites .In theanalysisofindex dutyorrequirement ,thefirs t8 stepsare d e s u y l t c e r i d e b n a c ) 8 ( p e t s o t ) 1 ( p e t s m o r f , y r a l a s r o r e b m u n t i u r c e r x e d n i f o s i s y l a n a e h t o t e m a s
f n o i t a r e n e g s e l u r y r e u q n
a t a D t x e t e h t l l a t u p d n a , y ll a i t n e u q e s s e l u r y r e u q h t i w e s a b a t a d n i h c r a e S ) 9
( jmatchedthequery
t e s a t a D o
t i.
.
a Segmen teacht ex tDataj ,andt aket het ex twtihwordsegmentationasat uple.
.
b Construc tFP-Treewtihallt het uple s. .
c Find frequen tpatterns wtih frequen tpattern algortihm according to minimum suppor tand .
s e s u y b t e s e c n e d i f n o c m u m i n i m
.
d Lookup thelonges tshor tsentence with themos tfrequen tin each tuple ,and then form anew n
e t n e s t r o h s e h t ll a h ti w e c n e t n e
s ceswhichhavebeendeletedrepetiitonsasResutli.
n a _ e s o h C ) 9 ( p e t s e t a r e t I ) 0 1
( 1×Chosen_an2×…×Chose_anidxn times ,finally aggregate al lthe
tl u s e
R itot hese tResutlSe.t
n o it a z il a u si V
s u o i r a v r o f d e r e v e s e b n a c 3 n o it c e s n i d e t a l u c l a c t e S tl u s e R t e s e h
T types of users such as talen t t n e r e f f i d o t t e S tl u s e R e h t t e r p r e t n i o t w o H . c t e , s r e k e e s b o j , s e e y o l p m e , f f a t s R H , s r e k a m y c il o p
i tl u m m o r f n o i t a t e r p r e t n i d n a h e n o e h t n O . n o i t a m r o f n i f o e u l a v e h t t c e f f a l l i w s r e s
u -perspectives
i n g i s e h t n i a l p x e y l l u f s p l e
h ficancesoft heresutls ,howeverwhent het arge tuseri sunknown ,tii sno t e n o e s u a c e b , n e t t o g e b n a c e c n e i r e p x e r e s u r e tt e b e h t n o it a t e r p r e t n i e v i s n e h e r p m o c e r o m e h t t a h t
f e r e h T . s n o it a t e r p r e t n i e t a i r p o r p p a n i e v i s s e c x e y b d e t c a r t s i d e b l li w r e s u c i f i c e p
s ore two
o t d e s u e b l li w t r o p e r d e z il a u d i v i d n i , d e i f i c e p s s i r e s u e h t n e h W . d e d i v o r p e r a s e d o m n o it a z i l a u s i v
it l u m m o r f t e S tl u s e R e h t t e r p r e t n
i -perspecitvesrelated to theuser .Forgenera lusers ,variouscharts t
e r p r e t n i n a c s r e s u h c i h w h ti w , d e s u e b l l i
w theresutlsfromt heirownperspectives.
n o is u l c n o C
s e s u t I . d e s o p o r p s i d n a m e d t n e l a t l a n o i g e r f o s i s y l a n a e v i t a ti t n a u q r o f d o h t e m a r e p a p s i h t n I
a t a d g i b y b a t a d e c r u o s e h t s e z y l a n a d n a , a t a d e c r u o s s a s t n e m ti u r c e r m o r f d e t c a r t x e n o it a m r o f n i
g n i s s e c o r
p technologies ,finally showstheresutlsby two visualizaiton modes .Themethodprovides y l e v it a r a p m o c d n a , s i s y l a n a e v it a ti t n a u q y l e v i t a r a p m o c , s i s y l a n a n o it u l o v e , s i s y l a n a e v i t a t it n a u q
e n n o i t a m r o f n i e h t s t e e m d n a s e s y l a n a f o s d n i k r u o f s i s y l a n a n o i t u l o v
e edsofgovernment ,enterprises .
s l a u d i v i d n i d n a
Acknowledgment
g n o d n a h S f o m a r g o r p t n e m p o l e v e d d n a h c r a e s e r y e k e h t y b d e t r o p p u s y l l a i c n a n i f s i k r o w s i h T
. ) 8 1 1 0 1 X G G 7 1 0 2 . o N , 8 1 0 1 0 1 X G G 6 1 0 2 . o N t n a r G ( e c n i v o r p
s e c n e r e f e R
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