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題名:矩陣為基礎之關聯法則
書刊名:資訊管理學報
作者:蔡玉娟張簡雅文
作者(外文):Tsay, Yuh-jiuanChang-chien, Ya-wen
出版日期:2005
卷期:12:3
頁次:頁113-130
主題關鍵詞:資料探勘關聯法則矩陣遞移性Data miningAssociation rulesMatrixTransitivity
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 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:0
  • 共同引用共同引用:1
  • 點閱點閱:34
期刊論文
1.Han, J.、Pei, J.、Yin, Y.、Mao, R.(2004)。Mining frequent patterns without candidate generation: a frequent pattern tree approach。Data Mining and Knowledge Discovery,8(1),53-87。  new window
2.Park, Jong-Soo、Chen, Ming-Syan、Yu, Philips S.(1997)。Using a hash-based method with transaction trimming for mining association rules。IEEE Transactions on Knowledge and Data Engineering,9(5),813-825。  new window
3.Chen, M.-S.、Park, J. S.、Yu, P. S.(1998)。Efficient Data Mining for Path Traversal Patterns。IEEE Transactions on Knowledge and Data Engineering,10(2),209-221。  new window
4.Song, H. S.、kyeong Kim, J.、Kim, S. H.(2001)。Mining the change of customer behavior in an internet shopping mall。Expert Systems with Applications,21(3),157-168。  new window
5.Swami, A.、Agrawal, R.、Imielinski, T.(1993)。Database mining: a performance perspective。IEEE Transactions on Knowledge and Data Engineering,5(6),914-925。  new window
6.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
7.蔡玉娟、張簡雅文、黃彥文(20030700)。快速反向關聯法則與調整緊密規則--促銷商品組合之應用。資訊管理學報,10(1),181-204。new window  延伸查詢new window
8.Giudici, Paolo、Passerone, Gianluca(2002)。Data Mining of Association Structures to Model Consumer Behaviour。Computational Statistics & Data Analysis,38(4),533-541。  new window
9.Berzal, F.、Cubero, J. C.、Marin, N.、Serrano, J. M.(2001)。TBAR: An Efficient Method for Association Rule Mining in Relational Databases。Data & Knowledge Engineering,37(1),47-64。  new window
10.Fu, Yongjian(1997)。Data Mining: Tasks, Techniques, and Applications。IEEE Potentials,16(4),18-20。  new window
11.Peacock, P. R.(1998)。Data Mining in Marketing: Part 1。Marketing Management,6(4),8-18。  new window
12.Martín-Bautista, María J.、Vila, María-Amparo、Delgado, Miguel、Sánchez, Daniel(2001)。Mining Association Rules with Improved Semantics in Medical Databases。Artificial Intelligence in Medicine,21(1-3),241-245。  new window
13.Anaad, S. S.(1998)。A Data Mining Methodology for Cross-Sales。Knowledge-Based System,10(1),449-461。  new window
會議論文
1.Liu B.、Hsu W.、Ma T.(1999)。Mining association rules with multiple minimum supports。ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD-99)。San Diego, USA。337-341。  new window
2.Agrawal, R.、Imielinski, T.、Swami, A. N.(1993)。Mining Association Rules between Sets of Items in Large Databases。The 1993 ACM SIGMOD International Conference on Management of Data,207-216。  new window
3.Han, J.、Fu, Y.(1995)。Discovery of Multiple-level Association Rules from Large Databases。Zürich, Switzerland。420-431。  new window
4.Brin, S.、Motwani, R.、Silverstein, C.(1997)。Beyond Market Baskets: Generalizing Association Rules to Correlations。1997 ACM SIGMOD Conference on Management of Data,265-276。  new window
5.Srikant, Ramakrishnan、Agrawal, Rakesh(1995)。Mining Generalized Association Rules。The 21st International Conference on Very Large Data Bases。Zurich。407-419。  new window
6.Srikant, R.、Agrawal, R.(1995)。Mining Sequential Patterns。The Eleventh International Conference on Data Engineering。Taipei:IEEE Computer Society。3-14。  new window
7.Agrawal, R.、Srikant, R.(1994)。Fast algorithms for mining association rules in large database。The 20th International Conference on Very Large Data Bases。Morgan Kaufmann Publishers Inc.。478-499。  new window
8.Omiecinski, E.、Navathe, S.、Savasere, A.(1995)。An Efficient Algorithm for Mining Association Rules in Large Databases。Zürich, Switzerland。432-444。  new window
9.Kedem, Zvi M.、Lin, Dao-I(1998)。Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set。London:Springer-Verlag。105-119。  new window
10.Bayardo, R. J., Jr.(1998)。Efficiently Mining Long Patterns from Databases。沒有紀錄。85-93。  new window
11.Bayardo, R. J., Jr.、Agrawal, R.、Gunopulos, D.(1999)。Constraint-Based Rule Mining in Large, Dense Databases。Sydney, Australia。  new window
12.Han, Eui-Hong、Karypis, George、Kumar, Vipin、Mobasher, Bamshad(1997)。Clustering Based On Association Rule Hypergraphs。0。  new window
13.Toivonen, H.(1996)。Sampling Large Databases for Association Rules。The 22th International Conference on Very Large Databases,134-145。  new window
14.Prasad, V. V. V.、Aggarwal, Charu C.、Agarwal, Ramesh C.(1999)。A Tree Projection Algorithm for Generation of Frequent Item Sets。Puerto Rico, USA。  new window
15.Chen, Ming-Syan、Park, Jong Soo、Yu, Philip S.(1997)。Mining Association Rules with Adjustable Accuracy。New York, NY。151-160。  new window
16.Tang, Liu、Wang, Ke、Liu, Junqiang、Han, Jiawei。Top Down FP-growth for Association Rule Mining。London, UK。334-340。  new window
17.Nishio, Shojiro、Tang, Shiwei、Pei, Jian、Yang, Dongqing、Han, Jiawei、Lu, Hongjun(2001)。H-mine: Hyper-structure Mining of Frequent Patterns in Large Databases。San Jose, CA。441-448。  new window
18.Parthasarathy, S.、Ogihara, M.、Li, W.、Zaki, M. J.(1997)。New Algorithms for Fast Discovery of Association Rules。0。283-286。  new window
19.Cheung, David W.、Han, Jiawei、Ng, Vincent T.、Fu, Ada W.、Fu, Yongjian(1996)。A Fast Distributed Algorithm for Mining Association Rules。The 4th International Conference on Parallel and Distributed Information Systems。IEEE Computer Society。31-44。  new window
20.Dunkel, Brian、Soparkar, Nandit(1999)。Data Organization and Access for Efficient Data Mining。Washington, DC。522-529。  new window
研究報告
1.Meta Group(1998)。Data Warehouse Marketing Trends/ Opportunities: An In-depth Analysis of Key Market Trends。0。  new window
學位論文
1.黃雅慧(2003)。應用網站探勘於網站瀏覽之個人化:以健康檢查業為例,0。  延伸查詢new window
2.潘瓊如(2000)。時間性路徑追蹤樣式之資料挖掘,0。  延伸查詢new window
圖書
1.Han, Jiawei、Kamber, Micheline(2000)。Data mining: Concepts and techniques。Morgan Kaufmann Publishers。  new window
2.劉明德、林傑斌、陳湘(2002)。資料採掘與OLAP理論與實務。臺北市:文魁資訊股份公司。  延伸查詢new window
3.Carter, C.、Hamilton, H.、Cercone, N.(1997)。Share Based Measures for Itemsets。Principles of Data Mining and Knowledge Discovery。沒有紀錄。  new window
 
 
 
 
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