DocumentCode
2544695
Title
The application of association rules of data mining in book-lending service
Author
Gong Lunfeng ; Lei Huan ; Zhu Li
Author_Institution
Dept. of Telecommun. & Electron., Eng. of Hunan City Univ., Yiyang, China
fYear
2012
fDate
29-31 May 2012
Firstpage
761
Lastpage
764
Abstract
Association rule is an important technology in Data mining. In library lending services, it can be used to analyze and add up the library loan services and information, and can scientifically carry out proposed borrow and recommended books to improve the efficiency of library management. By case analysis, it shows that the apriori algorithm in the association rule can effectively tap the hidden behind the valuable information in the data, and provide decision support for the library services and help libraries to carry out personalized information services.
Keywords
data mining; libraries; apriori algorithm; association rules; book-lending service; data mining; decision support; library lending service; library loan services; library management; personalized information service; Association rules; Dairy products; Databases; Educational institutions; Libraries; association rules; data mining; loan services;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6233921
Filename
6233921
Link To Document