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題名:商業智慧的工具--資料採礦
書刊名:輔仁管理評論
作者:鄭宇庭 引用關係蘇志雄 引用關係
作者(外文):Cheng, Yu-tingSu, Chih-hsiung
出版日期:2002
卷期:9:3
頁次:頁11-34
主題關鍵詞:資料採礦資料倉儲商業智慧顧客關係管理Data miningData warehouseCommercial intelligenceCustoms relationship management
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(3) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:3
  • 共同引用共同引用:0
  • 點閱點閱:23
     本文介紹資料採礦 (Data Mining) 及資料倉儲的意義、比較資料採礦和統計分 析,並進一步說明倉儲、KDD與資料採礦的關係。同時也說明資料採礦的功能、應用、進行 步驟、工具。最後並對資料倉儲與資料採礦在顧客關係管理上的運用作一說明。
     The main purposes of the article are to descript the meaning of data mining and data warehouse, to compare the differences of data mining and statistics analysis, and to descript the relationships between data warehouse, KDD and data mining. At the same time, we also descript the functions, applications, processes, a nd instruments of data mining. Finally, we descript how to apply data warehouse and data mining in customs relationship management.
期刊論文
1.謝邦昌、葉瑞鈴(20000200)。統計在資料掘取之應用。主計月報,530,67-84。  延伸查詢new window
2.Chen, Ming-Syan、Han, Jiawei、Yu, Philip S.(1996)。Data Mining: An Overview from a Database Perspective。IEEE Transactions on Knowledge and Data Engineering,8(6),866-883。  new window
3.Fayyad, Usama M.、Piatetsky-Shapiro, Gregory、Smyth, Padhraic(1996)。From Data Mining to Knowledge Discovery in Databases。AI Magazine,17(3),37-54。  new window
圖書
1.Berry, Michael J. A.、Linoff, Gordon S.(1997)。Data Mining Techniques: For Marketing, Sales and Customer Support。New York:John Wiley & Sons, Inc.。  new window
2.Fayyad, U. M.(1998)。Mining Databases: Towards Algorithms for Knowledge Discovery。IEEE Computer Society Technical Committee on Data Engineering。  new window
3.Fayyad, U.、Piatetsky-Shapiro, G.、Smyth, P.、Uthurusamy, R.(1996)。Advances in Knowledge Discovery and Data Mining。Cambridge, MA:AAAI Press。  new window
 
 
 
 
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