教師資料查詢 | 類別: 會議論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:A rough association rule is applicable for knowledge
學年98
學期1
發表日期2009/11/01
作品名稱A rough association rule is applicable for knowledge
作品名稱(其他語言)
著者Liao, S. H.; Chen, Y.
作品所屬單位淡江大學管理科學學系
出版者
會議名稱Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
會議地點ShangHai, China
摘要The traditional association rule which should be fixed in order to avoid both that only trivial rules are retained and also that interesting rules are not discarded. In fact, the situations which use the relative comparison to express are more complete than to use the absolute comparison. Through relative comparison we proposes a new approach for mining association rule, which has the ability to handle the uncertainty in the classing process, so that we can reduce information loss and enhance the result of data mining. In this paper, the new approach can be applied in find association rules, which has the ability to handle the uncertainty in the classing process and suitable for all data types.
關鍵字Association rule;Data mining;Electronic commerce;Rough set
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間
通訊作者
國別中國
公開徵稿Y
出版型式
出處Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on, pp.557-561
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!