A method for mining association rules in quantitative and fuzzy data

2009 International Conference on Computers and Industrial Engineering, CIE 2009

Volumn , Issue , 2009, Pages 453-458

  Mohamadlou, Hamid ^a   Ghodsi, Reza ^a   Razmi, Jafar ^a   Keramati, Abbas ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Clustering; Datamining; Fuzzy association rules; Intelligent data analysis

Indexed keywords

ASSOCIATION RULES; DATA MINING; FUZZY CLUSTERING; FUZZY RULES;

CLUSTERING; CLUSTERING PROCESS; DATA DISTRIBUTION; FUZZY ASSOCIATION RULE; FUZZY NUMBERS; INTELLIGENT DATA ANALYSIS; MINING ASSOCIATIONS; QUANTITATIVE DATA;

CLUSTERING ALGORITHMS;

EID: 77956130499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iccie.2009.5223873     Document Type: Conference Paper

References (13)

1. Attila Gyenesei, "A Fuzzy Approach for Mining QuantitativeAssociation Rules," Technical Report: TUCS-TR-336 Year of Publication, 2000
2. Dechang Pi, "Fuzzy Clustering Algorithm Based on Tree forAssociation Rule", International Journal of Information Technology, Vol.12,No.3 , 2006
3. M. Kayaa, "Genetic algorithm based framework for mining fuzzyassociation rules", Fuzzy Sets and Systems, Vol.152 587-601, 2005
4. Daniel T. Laros, "DISCOVERING KNOWLEDGE IN DATA", Published byJohn Wiley & Sons, Inc. New Jersey, 2004
5. Guoqing Chen, "Fuzzy association rules and the extended miningalgorithms", Information Sciences, Vol.147 201-228, 2002
6. Martine De Cock ,"The Need for Fuzzy Association Rules: Myths andReality", Ghent University, Belgium {Martine.DeCock, Hannes} @ UGent.be ,2002
7. R. Agrawal, R. Srikant, "Fast algorithm for mining association rulesin large databases", Proceedings of 1994 International Conference on VLDB,pp. 487-499, 1994
8. R. Agrawal, T. Imilienski, "mining association rules between sets ofitems in large databases", Proceedings of the ACM SIGMOD InternationalConference on Management of Data, Washington, DC, pp. 207-216, 1993
9. BEZDEK, J. C., "Pattern Recognition with Fuzzy Objective FunctionAlgorithms", Plenum Press, New York, NY, 1981
10. ZADEH, L.A., "Fuzzy sets". Inf. Control 8, 338-353, 1965
11. RUSPINI, E. H., "a new approach to clustering", Inf Control 15,22-32, 1969
12. Agrawal, R. and Srikant, R., "Fast algorithms for mining associationrules', Proc. Int. Conf. Very Large data bases (VLDB'94)", Santiago,Chile, September, pp.487-499, 1994
13. Agrawal, R., Imielinski, "Mining association rules between sets ofitems in large databases", July, pp.45-51, 1993