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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6233921
