Research on model of association rules mining with added-newly measure criteria

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2004, Pages 1187-1190

  Wang, De Xing ^a   Hu, Xue Gang ^a   Liu, Xiao Ping ^a,b   Wang, Hao ^a   Guo, Jun ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b INSTITUTE OF PLASMA PHYSICS   (China)

Author keywords

Apriori; Association rule; Frequent itemsets, data mining

Indexed keywords

ALGORITHMS; COSTS; DATA MINING; KNOWLEDGE BASED SYSTEMS; MARKETING; PROBABILITY; SET THEORY;

APRIORI; ASSOCIATION RULES; FREQUENT ITEMSETS; IDENTIFIERS;

ASSOCIATIVE PROCESSING;

EID: 6344289133     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. H. Mannila, H. Toivonen, Inkeri Verkamo, "Efficient Algorithms for Discovering Association Rules (1994) ", http://citeseer.ist.psu.edu/mannila94efficient.html, 2004-03-20.
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6. Jiawei,Han, Micheline, Kamber, Data Mining-concepts and techniques, Morgan Kaufman Publishers, San Francisco, pp. 227-236, 2001.
7. De-xing Wang, Xue-gang Hu, Hao Wang, "The Research on Model of Mining Association Rules Based on Quantitative Extended Concept Lattice", IEEE Proc. of 2002 International Conference on Machine Learning and Cybernetics, Beijing, pp. 134-138, Nov. 2002.