完整後設資料紀錄
DC 欄位語言
dc.contributor.authorChen, An-Pinen_US
dc.contributor.authorChen, Chia- Chenen_US
dc.date.accessioned2014-12-08T15:20:14Z-
dc.date.available2014-12-08T15:20:14Z-
dc.date.issued2006en_US
dc.identifier.issn0264-0473en_US
dc.identifier.urihttp://hdl.handle.net/11536/14375-
dc.identifier.urihttp://dx.doi.org/10.1108/02640470610689223en_US
dc.description.abstractPurpose - Traditional library catalogs have become inefficient and inconvenient in assisting library users. Readers may spend much time in searching library materials via printed catalogs. Readers need an intelligent and innovative solution to overcome this problem. The purpose of this paper is to illustrate how data mining technology is a good approach to fulfill readers' requirements. Design/methodology/approach - Data mining is considered to be the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. This paper analyzes the readers' borrowing records by using the following techniques: data analysis, building data warehouse and data mining. Findings - The mining results show that all readers can be categorized into five clusters, and each cluster has its own characteristics. It was also found that the frequency for graduates and associate researchers to borrow multimedia data is much higher. This phenomenon shows that these readers have a higher preference for accepting digitized publication. Besides, we notice that more readers borrow multimedia data rise in years. This up trend indicates that readers are gradually shifting their preference in reading digital publications. Originality/value - The paper proposes a technique to discover clusters by using ant colony methods.en_US
dc.language.isoen_USen_US
dc.subjectdigital librariesen_US
dc.subjectcluster analysisen_US
dc.subjectdata collectionen_US
dc.subjectdata analysisen_US
dc.titleA new efficient approach for data clustering in electronic library using ant colony clustering algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/02640470610689223en_US
dc.identifier.journalELECTRONIC LIBRARYen_US
dc.citation.volume24en_US
dc.citation.issue4en_US
dc.citation.spage548en_US
dc.citation.epage559en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000241351000010-
dc.citation.woscount9-
顯示於類別:期刊論文


文件中的檔案:

  1. 000241351000010.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。