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題名:利用分類分析發掘消費者最適性之產品項目
書刊名:輔仁管理評論
作者:陳垂呈
作者(外文):Chen, Chui-cheng
出版日期:2008
卷期:15:1
頁次:頁17-42
主題關鍵詞:交易資料分類分析次序性Transaction dataClassification analysisSequence
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:5
  • 點閱點閱:75
期刊論文
1.Chen, Y. L.、Chiang, M. C.、Ko, M. T.(2003)。Discovering Time-Interval Sequential Patterns in Sequence Databases。Expert Systems and Applications,25(3),343-354。  new window
2.Gaddam, S. R.、Phoha, V. V.、Balagani, K. S.(2007)。K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods。IEEE Transactions on Knowledge and Data Engineering,19(3),345-354。  new window
3.Quinlan, J. R.(1986)。Induction of Deciscion Trees。Machine learning,1(1),81-106。  new window
4.Yu, C. C.、Chen, Y. L.(2005)。Mining Sequential Patterns from Multi-Dimensional Sequence Data。IEEE Transactions on Knowledge and Data Engineering,17(1),136-140。  new window
5.Katharina, D. C. Stark、Dirk, U. Pfeiffer(1999)。The Application of Non-Parametric Techniques to Solve Classification Problems in Complex Data Sets in Veterinary Epidemiology--an Example。Intelligent Data Analysis,3(1),23-35。  new window
6.Tsay, Yuh-Jiuan、Chiang, Jiunn-Yann(2005)。CBAR: An Efficient Method for Mining Association Rules。Knowledge-Based Systems,18(2/3),99-105。  new window
7.Widrow, B.、Rumelhart, D. E.、Lehr, M. A.(1994)。Neural Networks: Applications in Industry Business and Science。Communication of the ACM,37(3),93-105。  new window
8.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
9.Mak, B.、Munakata, T.(2002)。Rule Extraction from Expert Heuristics: A Comparative Study of Rough Sets with Neural Networks and ID3。European Journal of Operational Research,136(1),212-229。  new window
10.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
11.Ohmann, C.、Moustakis, V.、Yang, Q.、Lang, K.(1996)。Evaluation of Automatic Knowledge Acquisition Techniques in the Diagnosis of Acute Abdominal Pain - Acute Abdominal Pain Study Group。Artificial Intelligence in Medicine,8(1),23-36。  new window
12.Hui, S. C.、Jha, G.(2000)。Data mining for customer service support。Information and Management,38(1),1-13。  new window
13.Clark, P.、Niblett, T.(1989)。The CN2 Induction Algorithm。Machine Learning,3(4),261-283。  new window
14.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
會議論文
1.Liu, D.、Zhou, Y.(2006)。Distributed ID3 Model Based on Mobile Agent。1st International Symposium on Systems and Control in Aerospace and Astronautics,1316-1320。  new window
2.Pei, M.、Taniguchi, S.、Hara, T.、Nishio, S.(2006)。Discovering Important Rules and Loyal Customer by Considering the Repetition in Association Rules。Innovations in Information Technology,1-5。  new window
3.Tan, X.、Yao, M.、Zhang, J.(2006)。Mining Maximal Frequent Access Sequences Based on Improved WAP-tree。Sixth International Conference on Intelligent Systems Design and Applications,616-620。  new window
4.Xu, W. X.、Wang, R. J.(2006)。A Fast Algorithm of Mining Multidimensional Association Rules Frequently。International Conference on Machine Learning and Cybernetics,1199-1203。  new window
5.Wu, S.、Wu, L. Y.、Long, Y.、Gao, X. D.(2006)。Improved Classification Algorithm by Minsup and Minconf Based on ID3135-139。  new window
6.Wang, H.、Wang, S.(2006)。A Purchasing Sequences Data Mining Method for Customer Segmentation。IEEE International Conference on Service Operations and Logistics, and Informatics,883-886。  new window
7.Agrawal, R.、Lmielinski, T.、Swami, A.(199305)。Mining association rules between sets of items in large database。The ACM SIGMOD International Conference on Management of Data,207-216。  new window
8.Xu, B.(2005)。Managing Customer Satisfaction in Maintenance of Software Product Family via ID3。International Conference on Machine Learning and Cybernetics。Guangzhou, China。1820-1824。  new window
9.Srikant, R.、Agrawal, R.(1996)。Mining Sequential Patterns: Generalizations and Performance Improvements。The 5th International Conference on Extending Database Technology,3-17。  new window
10.Srikant, Ramakrishnan、Agrawal, Rakesh(1995)。Mining Generalized Association Rules。The 21st International Conference on Very Large Data Bases。Zurich。407-419。  new window
11.Srikant, R.、Agrawal, R.(1995)。Mining Sequential Patterns。The Eleventh International Conference on Data Engineering。Taipei:IEEE Computer Society。3-14。  new window
12.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
13.Han, J.、Pei, J.、Yin, Y.(2000)。Mining frequent patterns without candidate generation。The 2000 ACM SIGMOD International Conference on Management of Data。ACM。1-12。  new window
學位論文
1.高淑珍(2004)。應用資料探勘於顧客回應模式之研究--以國內A壽險公司為例(博士論文)。國立成功大學。new window  延伸查詢new window
圖書
1.Hartigan, J. A.(1975)。Clustering algorithms。New York, NY:John Wiley & Sons。  new window
2.Rich, E.、Knight, K.(1991)。Learning in Neural Network。New York:McGraw-Hill。  new window
3.魏志平、董和昇(2002)。電子商務理論與實務。華泰書局。  延伸查詢new window
4.Breiman, L.、Friedman, J. H.、Olshen, R. A.、Stone, C. J.(1984)。Classification and Regression Trees。Chapman & Hall/CRC。  new window
5.Han, Jiawei、Kamber, Micheline(2006)。Data Mining: Concepts and Techniques。San Francisco:Morgan Kaufmann Publishers。  new window
6.Berry, Michael J. A.、Linoff, Gordon S.(2004)。Data Mining Techniques for Marketing, Sales and Customer Relationship Management。Wiley Publishers。  new window
7.Quinlan, J. Rose(1993)。C4.5: Programs for Machine Learning。Morgan Kaufmann Publishers。  new window
8.Laudon, K. C.、Laudon, J. P.(2000)。Management Information Systems: Organization and Technology in the Networked Enterprise。Prentice Hall。  new window
 
 
 
 
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