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    题名: 企業網路下之資料發掘
    Data Mining in the Intranet Enviroment
    作者: 金士俊
    Chin, Shi-Chun
    贡献者: 楊亨利
    Yang, Heng-Li
    金士俊
    Chin, Shi-Chun
    关键词: 資料發掘
    知識發現
    企業網路
    知識管理
    Data Mining
    Knowledge Discovery
    Intranet
    Knowledge Management
    日期: 2001
    上传时间: 2016-04-18 16:27:04 (UTC+8)
    摘要: 近幾年來，企業網路在各大小企業中蓬勃發展，因此而產生在企業網路上尋找資訊的問題。對於許多掌握其企業網路的複雜程度尚存在困難的企業來說，要從其企業網路上大量的文件中找出真正有用的、潛在的資訊與知識，誠非易事。因此有待以較深入的思考構面對於各企業的企業網路架構進行檢視，才能找出適當的資料發掘做法與技術，以解決此一難題。本研究先對資料發掘，企業網路等文獻與現況進行整理分析，並提出與企業網路複雜程度相關之參考思考構面並定義簡單型與複雜型的企業網路。然後以Han（1995）之概念樹及多層次資料庫的觀念，採用我們對於網際網路資料發掘所提出的理論架構與作法（楊亨利與金士俊,民90），特別著重企業在授權與知識視野上的思考，提出簡單型與複雜型企業網路下對資料內容發掘的架構，設計適用於簡單型與雜型企業網路之資料發掘系統，並部份實作其雛形，以驗証其可行性，並評估其日後實務操作之其他可能。
    In recent years, with the widespread use of the Intranet, Intranet data searching has become an important but problematic issue. Since a lot of enterprises still have difficulty in evaluating the complexity of their Intranet systems, it is an extremely demanding task for them to identify valid and potentially useful patterns from the huge amount of documents in the Intranet. In order to solve this problem, it is essential to take a close and careful examination of the different Intranet frameworks, so that appropriate data mining approaches and techniques can be worked out.
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    描述: 碩士
    國立政治大學
    資訊管理學系
    86356026
    資料來源: http://thesis.lib.nccu.edu.tw/record/#A2002001589
    数据类型: thesis
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