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題名 企業網路使用記錄之資料發掘
其他題名 Data Mining on Intranet Log
作者 楊亨利
關鍵詞 企業網路;全球資訊網;資料探勘;知識發掘;知識管理;網路使用紀錄
Intranet;World Wide Web (WWW);Data mining;Knowledge discovery;Knowledge management;Internet log
日期 2001
上傳時間 18-Apr-2007 16:40:12 (UTC+8)
Publisher 臺北市:國立政治大學資訊管理學系
摘要 以往對全球資訊網的資料發掘主要侷限於網際網路上,而發掘的規則也分別是有關網頁內容或使用紀錄者,沒有看到兼具兩者的知識。然而,隨著企業內網路的運用日益廣泛,有關其資料發掘的研究也日益。本研究把「資料內容」與「使用者紀錄」加以結合,提出一個具有學術價值及實務可行的資料發掘架構,來發掘企業網路中所隱含的兼具「特性規則」及「關聯規則」之使用行為知識。另方面也考慮到發掘之前置處理工作。同時以JAVA 建置一個雛形來驗證其可行性。
Most of past researchers have only paid attentions to data mining on Internet. Their mining rules are either related to Web content or Web Usage, but not to both. Since the applications on Intranet have become widespread, its related data mining is now important. This research has combined "Web content" and "Web usage" data, and proposed a data mining framework, which should be academically valuable and practically feasible. This framework includes the pre-processing phase of data mining. In addition, we will implement a prototype in JAVA to test the feasibility of the framework.
描述 核定金額:311000元
資料類型 report
dc.coverage.temporal 計畫年度:90 起迄日期:20010801~20020731en_US
dc.creator (作者) 楊亨利zh_TW
dc.date (日期) 2001en_US
dc.date.accessioned 18-Apr-2007 16:40:12 (UTC+8)en_US
dc.date.accessioned 8-Sep-2008 16:36:21 (UTC+8)-
dc.date.available 18-Apr-2007 16:40:12 (UTC+8)en_US
dc.date.available 8-Sep-2008 16:36:21 (UTC+8)-
dc.date.issued (上傳時間) 18-Apr-2007 16:40:12 (UTC+8)en_US
dc.identifier (Other Identifiers) 902416H004029.pdfen_US
dc.identifier.uri (URI) http://tair.lib.ntu.edu.tw:8000/123456789/3982en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/3982-
dc.description (描述) 核定金額:311000元en_US
dc.description.abstract (摘要) 以往對全球資訊網的資料發掘主要侷限於網際網路上,而發掘的規則也分別是有關網頁內容或使用紀錄者,沒有看到兼具兩者的知識。然而,隨著企業內網路的運用日益廣泛,有關其資料發掘的研究也日益。本研究把「資料內容」與「使用者紀錄」加以結合,提出一個具有學術價值及實務可行的資料發掘架構,來發掘企業網路中所隱含的兼具「特性規則」及「關聯規則」之使用行為知識。另方面也考慮到發掘之前置處理工作。同時以JAVA 建置一個雛形來驗證其可行性。-
dc.description.abstract (摘要) Most of past researchers have only paid attentions to data mining on Internet. Their mining rules are either related to Web content or Web Usage, but not to both. Since the applications on Intranet have become widespread, its related data mining is now important. This research has combined "Web content" and "Web usage" data, and proposed a data mining framework, which should be academically valuable and practically feasible. This framework includes the pre-processing phase of data mining. In addition, we will implement a prototype in JAVA to test the feasibility of the framework.-
dc.format applicaiton/pdfen_US
dc.format.extent bytesen_US
dc.format.extent 55732 bytesen_US
dc.format.extent 55732 bytes-
dc.format.extent 24264 bytes-
dc.format.mimetype application/pdfen_US
dc.format.mimetype application/pdfen_US
dc.format.mimetype application/pdf-
dc.format.mimetype text/plain-
dc.language zh-TWen_US
dc.language.iso zh-TWen_US
dc.publisher (Publisher) 臺北市:國立政治大學資訊管理學系en_US
dc.rights (Rights) 行政院國家科學委員會en_US
dc.subject (關鍵詞) 企業網路;全球資訊網;資料探勘;知識發掘;知識管理;網路使用紀錄-
dc.subject (關鍵詞) Intranet;World Wide Web (WWW);Data mining;Knowledge discovery;Knowledge management;Internet log-
dc.title (題名) 企業網路使用記錄之資料發掘zh_TW
dc.title.alternative (其他題名) Data Mining on Intranet Log-
dc.type (資料類型) reporten