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1Schoo lofInformaitonEngineering,BeiijngI nsttiuteofGraphicCommunicaiton, a

n i h C , 0 0 6 2 0 1 g n ij i e B

2TsinghuaUniverstiy,ComputerScienceandTechnologyPostdoctora l ,

n o it a t S h c r a e s e

R Beiijng100084 ,China

3SystemEngineeringResearchI nsttiute,CSSC ,Beiijng100094,China

*Correspondingauthor

: s d r o w y e

K Datamining ,Associaitonrules, Libraires, Appilcaitons, Overview.

t c a r t s b

A . The article analyzes the appilcation of association rules a tlibraries both a thome and n

i s t n e m u c o d d e t a l e r f o n o i t a c il p p a e h t n o d a o r b

a libraries ,andanalyzesthemfromtheapplication e c r u o s e r y r a r b i l , s e c i v r e s n o i t a d n e m m o c e r d e z i l a n o s r e p y r a r b il l a t i g i d n i s e l u r n o i t a i c o s s a f o

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m o r f n o it a m r o f n i l a n o i t a r e p o d n a , d il a v , n w o n k n u y l s u o i v e r p t c a r t x E . a t a d f o t n u o m a e g r a l a m o r f

s e s u o h e r a w a t a d e g r a

l ordatabases ,and then usethisderived information forcrtiica lbusinessand .

s n o i s i c e d c i g e t a r t s

n o it a z i t a m r o f n i l a i c o s f o t n e m p o l e v e d e h t h t i

W ,data mining technology has been applied in a n a c s r e s u , a t a d f o n o it a c i l p p a d n a , g n i s s e c o r p , s i s y l a n a e h t h g u o r h T . y t e i c o s n i s d l e i f f o e g n a r e d i w

f o s e p y t s u o i r a v p s a r g d n a t c i d e r p y l e v it c e f f e d n a , s e c i v r e s d e z i l a n o s r e p d n a d e z i m o t s u c e z i l a e r

e e D . s d e e

n p processing appilcations .Thishasprovided anew direciton forthedevelopmen tofthe f o s s e c o r p e h t n i a t a d d e t a d p u y l s u o u n it n o c f o t n u o m a e g r a l a d e t a l u m u c c a s a h y r a r b il e h T . y r a r b i l

o n o it c e r i d e h t n o h c r a e s e r d e i l p p a d n a , n o it c u r t s n o c n o it a z it a m r o f n

i fthe ilbrarythroughassociaiton .

g n i n n a l p k o o b d n a , s i s y l a n a r e d a e r , n o it a d n e m m o c e r k o o b e h t e v o r p m i o t s m h ti r o g l

a And other

. s e c i v r e s y r a r b i l

n o it c u d o r t n I m h ti r o g l A

i r o i r p A , g n i n i m a t a d n

I algortihm is one of the mos tinfluenita lalgortihms for mining frequen t f o a e d i e h t n o d e s a b m h t i r o g l a e v i s r u c e r a s i e r o c s t I . s e l u r n o i t a i c o s s a n a e l o o B f o s t e s m e t i

o w

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n a m r o f o t t s r i f e s a b a t a d e r it n e e h t n a c s o t s i a e d i c i s a b e h

T iniita lfrequen t"1-tiem set" se tL1 . 1

" e h t f o g n i n u r p t n e u q e r f r e t f

A -tiemset" through thepredefined suppor tand confidence ,frequen t 2

“ e h T . s r u c c o g n i n u r p h g u o r h t 1 L f o n o it a m r o

f -tiemset”L2 isset ,then L2isusedto find L3 ,and n

it n o c s i n o it a r e t

i ued unit lafrequen t“k-item set”canno tbefound ,and thedesired association rule .

a i r e t i r c s a e c n e d i f n o c m u m i n i m e h t d n a t r o p p u s m u m i n i m e h t h ti w d e t a r e n e g s i ] 1 [

: s t c e f e d o w t s a h y l n i a m m h t i r o g l a i r o i r p A l a n o i ti d a r t e h T

• 1 .These tofcandidatei temst ha tmaybegeneratedi shugeresulitngi nacombinedexplosion.

• 2 .Aftergeneraitng ase tofcandidate tiems ,theAprior ialgortihmmus tscan thedatabaseto .

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v o r p m i y n a m , s m e l b o r p e s e h t e v l o s o t r e d r o n i , e r o f e r e h

T ements have been proposed :the P F n a d n a , 0 0 0 2 n i . l a t e i e w a i J n a H y b d e s o p o r p m h t i r o g l a s i s y l a n a n o it a l e r r o

c -Growth algortihm

P H D e e r t h s a H n o d e s a b , ] 2 [ m h ti r o g l a e h t n i d e s u s i e r u t c u r t s a t a d e e r T n r e tt a P t n e u q e r F d e l l a c m h t i r o g l a d i T i r o i r p A , m h ti r o g l

a and Parititon algorithm [4] ,by S Shirgaonkar improved Aprior i . ] 3 [ m h ti r o g l a n g i e r o

F ResearchStatus

e h t m o r f s t r e p x e ) n o it a i c o s s A y g o l o n h c e T n o it a m r o f n I d n a y r a r b i L ( A T I L e h t , 9 9 9 1 n i s a y l r a e s A n a c i r e m A e h t f o p u o r G y g o l o n h c e T n o i t a m r o f n I d n a y r a r b i

L Library Association (ALA)affiilated t n e m p o l e v e d y g o l o n h c e t y r a r b il n i s d n e r t n e v e s d r a w r o f t u p n o it a i c o s s A y r a r b i L n a c i r e m A e h t h t i w d e p o l e v e d y l e v i s s e c c u s e v a h s e i r t n u o c r e h t o d n a a d a n a C , s e t a t S d e ti n U e h T . . r a n i m e s a t a c il p p a y r a r b il r o f s e i g o l o n h c e

t ations .Forexample :theeariler emergence oftheMylibrary system . r e s u f o n o it c i d e r p c i f it n e i c s a e d a m , A S U , a i n r o f il a C f o y ti s r e v i n U e h t f o r e p o o C l e a h c i M r o s s e f o r P e v e d m e t s y s h t i m s w o r r A e h T . s r e s u f o s e p y t t n e r e f f i d f o y a t s f o w a l e h t h g u o r h t r o i v a h e

b loped by

n i d e s u n a s n a w S s ' o g a c i h C f o y t i s r e v i n U e h

t -depth excavation ofdatabaseltieratureinformation to ] 3 1 [ ] 0 1 [ . s t n e m u c o d n e e w t e b s k n il c i s n i r t n i n i a t b o h c r a e s e

R StateinChina

r e h t t u b , s e i r t n u o c n g i e r o f o t d e r a p m o c e t a l y l e v i t a l e r s i t r a t s c it s e m o

D e are stli lsome nice and

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a ary and other personailzed ilbrary recommendaiton system . e c i v r e s e h t , e l p m i s y l e v i t a l e r e r a s n o it c n u f m e t s y s e h t t a h t m e l b o r p a s i e r e h t , e l o h w a s a , r e v e w o H o it a m r o f n i e h t , e r o f e r e h T . w o l s i e v it a it i n i e c i v r e s f o e e r g e d e h t d n a , s m r o f w e f a n i s i t n e t n o c n s i r e s u e h t d n a r o t a r t s i n i m d a e h t n e e w t e b n o i t c a r e t n i f o l e v e l e h t d n a , d e h s u p y l e v i t c e f f e e b t o n n a c . w o l [12]

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readers’ borrowing methods ,borrowing quanitty ,and borrowing reasons in differen tregions and e d i v o r p r e tt e b o t y r a r b il e h t f o n o it a t n e i r o e h t e d i u g o t s e l u r n o it a i c o s s a e l b a il e r m r o f s e g a t n e r e f f i d e h t e g n a h c o t r e d r o n i , e c i v r e s e h T . s p u o r g t n e r e f f i d r o

f ilbrary'sservicecapabiilites ,toconsoildate g n i w o r r o b d a b e v a h o h w s r e d a e r e h t e z y l a n a n a c t i , e m it e m a s e h t t A . p i h s r e d a e r e r o m t c a r t t a d n a . g n i p o c f o e v i t c e p s r e p e h t m o r f n o i t u l o s e v i t a l e r a k e e s d n a , s r o i v a h e

b [5][8]

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b to achieve associaiton rules mining , o t s e i r a r b i l r o f e l b i s s o p t i e k a m s k o o b f o s e p y t s u o i r a v g n o m a s e l u r n o it a i c o s s a e l b a i l e R r o f g n i k o o l . s t s o c n o it i s i u q c a d e ti m il r e d n u s l a i r e t a m d n a s k o o b f o s e p y t s u o i r a v f o n o it u b i r t s i d e l b a n o s a e r e r u s n e e m a s e h t t

A time ,theinterna lilbraryofthe ilbrarycanbereasonablyrackeduptoachieveclearand ] 6 [ . t n e m e g a n a m y s a e d e z il a n o s r e

P BookRecommenda iton

d e r r e f e r o s l a e r a h c i h w , s e c i v r e s d e z il a n o s r e p e s i c e r p d e e n s r e s u , t n e m n o r i v n e k r o w t e n x e l p m o c a n I s a o

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, e s a b a t a d n o i t c e ll o c e h t s e h c r a e s y ll a c it a m o t u a t i , m e t s y s n o it a d n e m m o c e r e h t n I y t il a n o s r e p e h t

y e h t s k o o b e h t s d n e m m o c e r y l e t a r u c c a d n a , s r e d a e r e h t f o r o i v a h e b g n i w o r r o b e h t s e d i u g y l e v i t c a

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g n i d n o p s e r r o c g n i n i a t b O . s s e l e m it d n a l a c it c a r p , t n e i n e v n o c h c a o r p p a e c i v r e s e h t e d a m e v a h s e c i v e d

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s htheneedsofyoung peopletoday ,and a l

e d o m e c i v r e s y r a r b i l l e v o

n —librarymobileservicemode lhasemerged .Themoblie ilbraryaccesses k o o b s a h c u s s n o i t c n u f s e s s e c c a d n a , s e n o h p t r a m s s a h c u s s e c i v e d e l i b o m h g u o r h t s e c r u o s e r y r a r b i l

n i w o r r o b , l a v e i r t e

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r o f s t c e p s o r

P FutureDevelopment

y r a r b i L y M e h T . d l e i f y g o l o n h c e t g n i g r e m e n a s i g n i n i m s e l u r n o it a i c o s s a y r a r b i

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b o m d n a n o i t a c o ll a e c r u o s e r , n o it a d n e m m o c e r d e z il a n o s r e p , s i s y l a n a r o i v a h e b r e d a e r s e l u

r lielibrary

e r u t a r e ti l e h t n i e r a s e i d u t s c it s e m o d f o r e b m u n e g r a l a t a h t e e s l li t s n a c e w t u b , n o it c e r i d n o i t a c il p p a

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) 9 3 0 / 2 0 0 8 1 1 0 9 1 4 0 (

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] 1

[ Xianxian Li , u ResearchonthePersonalizedInformaiton Recommendaiton Methodof College ,

] D [ g n i n i M a t a D n o d e s a b s e i r a r b i

L LiaoningProvince :LiaoningUniversity ,2013. ]

2

[ Guoning Ga ,n Design of Library Ordering Recommendation System Based on FP-Growth m

h t i r o g l

A ][ ,J ChinaScienceandTechnologyInformationA pr.2017 , .p 8p 5 - 06 . ]

3

[ S Shirgaonkar, T. Rajkumar and V Singh ,Application of Improved Aprior iin University y

r a r b i

L ,Internaitona lConference and Workshop on Emerging Trends in Technology (ICWET )

0 1 0

2 – TCET ,Mumbai ,India, .p 5p 5 - 03 5 . 4 ]

4

[ oB Chen, Peng Dong and Shao Yong ,Survey based on Aprior iAlgorithm and it’s Improved ,

e s u o h g n ii h s i l b u p c i n o r t c e l e l a n r u o j c i m e d a c a a n i h c , ] C

[ 2008, .p 2p 1 - 76 1 . 6

] 5

[ Jiaxin Chen , Analysis on Reader behavior based on Apriori [ ,J] Shanghai : Electronic y

g o l o n h c e

T ,2017, .p 1-4. p n

a y e u X ] 6

[ Zhang ,Appilcation ofApior iAlgorithm-based AssociationRules in Library Resource n

o i t a c o l l

(4)

a L ] 7

[ ngdieLin ,WangCanhui ,Applicationand Research ofAprior iAlgorithminLibrary’sBook e

c i v r e S n o it a d n e m m o c e

R [A],ComputerTechnologyandDevelopment ,May2011, oV l. 21No. 5. L

n u y g n o H ] 8

[ i, the application of association rule in library [D], Shanghai :Eas tChina Norma l .

y t i s r e v i n

U 2009. K i l i L ] 9

[ uang, Application research of association rules in reading data processing of college y

r a r b i

l [D], Hefei :HeFe iUniversityofTechnology,2010. ]

0 1

[ Y na nJ -u xia ,TheApplicationofanImprovedAprior iAlgorithmi nLibrary’sRecommendaiton e

c i v r e

S [A] ,S -ci TechInformationDevelopmen t& Econom , y 2009Vo.l 91 . ,

o a h C ] 1 1

[ Huang Research and implementation of moblie library based on Data Mining [D], Xi’ na :Xi`anUniversityofArchitectureandTechnology,2015.

e c i v r e s d e z i l a n o s r e p y r a r b i l n i n o i t a c i l p p a s t i d n a m h t i r o g l a i r o i r p a n o h c r a e s e r , g n o R g n a Y ] 2 1 [

3 1 0 2 y t i s r e v i n U h t u o S l a r t n e C : a h s g n a h C , ] D

[ .

Y i e m n i J ] 3 1

[ u ,Overview of the Data Mining Application Research of Domestic Library [ , A] I

d n a y r a r b i

L nformation,2015. ]

4 1

[ iL e Jiang, ApplicationofAprior iImprovedAlgorithminBook Loaning Data ][ , A Information ,

h c r a e s e

R 2011,vo.l5. ]

5 1

[ Wenqing aM ,ThemultipledimensionailtiesdatarelatingregulationArithmeticstudyof ilbraty ,

] A

[ He iLong-jiang :Journa lofJiamus iVocationa lInstitute,No.112012. ]

6 1

[ Qiqiang Deng , Bibliographic Recommendation Service based on Disconnected Aprior i m

h t i r o g l

A [J] ,LibraryandInformationService,2011Vo.l55No. ,5 .p 9p 1 - 20 1 . 1 ]

7 1

[ Zhiyong Z gen ,Hui Yang and Jiankun uY , Research on parallelizing Aprior ialgorithm based ,

n g i s e D d n a g n i r e e n i g n E r e t u p m o C , s e e r t h s a H d n a T M H n

o 2012Vol .33No.1.

] 8 1

[ L iYan,Lv Pengand L iLong,Researchon personalized servicesofUniversityLibraryBased g

i B e h t n

o Data Ming and Decision Analysis System [A] ,Library ,Documen t& communication .

o N 6 1 0

2 2 .pp. 06 - 86 . ]

9 1

[ Z heWang, Researchont heApplicaitonofDataMiningi nt hePersonalizedServiceofCollege :

g n i q g n o h C , s e i r a r b i

L ChongqingUniversity,2012. ]

0 2

[ Zhong Bing Ma, Theapplication ofdatamining technologyin librariesPurchase, Chongqing: ,

y t i s r e v i n U l a m r o N g n i q g n o h

C 2012.

] 1 2

[ W - een k L ui ,The Application of Data Mining Technology in the Reader Managemen tof y

r a r b i L y t i s r e v i n

U [A] ,S -ci Tech Information Developmen t& Economy 2006 Vo.l 16 No. 8, p p. 7

6 - 86 . ] 2 2

[ Bing Wang, Applied research on DataMing in Library services ofHigh school [D], Xi’an : ,

y g o l o n h c e T f o y t i s r e v i n U n a 'i

X 2010.

a u h i A ] 3 2

[ Guo ,Overview ofdataminingin thefield ofdatabaseapplication in domesitclibraries ,

] A

[ Science&TechnologyInformation, 2017No.25pp. 7-8. ]

4 2

[ Yunmei Shen, Analysis of the Applicaiton of Data Mining Technology in the Personailzed s

e i r a r b i L l a n o i t a c o V r e h g i H f o m e t s y S d n e m m o c e

R [A],HeiheJourna lJu.l2016Seria lNo. 226No. .

p p

4 11 - 26 1 . 6 ]

5 2

[ XianluZhang ,AssociationAnalysisBasedonLibraryBorrowingBehaviorData[J] ,Business, .

p p 6 1 0

(5)

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[ Zhang ,Application of Aprior iAlgorithm in University Library Managemen tSystem .

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References

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