Enhancement of Library Operation and Service by Data Mining and Statistics

• Main Authors: An-Chi Wu, 吳安琪
• Other Authors: Hao-Ren Ke
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/10894559947027858043

碩士 === 國立交通大學 === 資訊科學系 === 89 === With rapid advancement of Internet and World Wide Web (WWW), WWW has been becoming an important information source. The proliferation of WWW also encourages the development of electronic library. Many libraries are aiming to provide patrons better services by means of computer and telecommunication technology. This thesis aims at discovering the community patterns of NCTU patrons via data mining. The data used in mining are the bibliographic and holding records of NCTU Library, as well as the transaction history logs. We expect that NCTU Library can apply the research findings to its operation and service so that NCTU Library can play a more proactive role in the learning and researching of NCTU patrons. The community patterns of patrons that we want to discover in this thesis are the common patterns and sequences of collections, borrowed by patrons. After we find out the community patterns, we want to achieve the following goals: (1) attract more patrons to borrow collections, (2) increase collection borrowing rate, (3) raise the loyalty of patrons, (4) assist the policy making on the acquisition of duplicate copy, and (5) encourage the rapid circulation of collections.