A comprehensive survey of association rules on quantitative data in data mining

2013 IEEE Conference on Information and Communication Technologies, ICT 2013

Volumn , Issue , 2013, Pages 1003-1008

  Gosain, Anjana ^a   Bhugra, Maneela ^a  

^a GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY   (India)

Author keywords

apriori algorithm; association rules; confidence; data mining; fuzzy set; support

Indexed keywords

APRIORI ALGORITHMS; COMPARATIVE ANALYSIS; CONFIDENCE; MINING ASSOCIATIONS; QUALITATIVE KNOWLEDGE; QUANTITATIVE ATTRIBUTES; QUANTITATIVE DATA; SHARP BOUNDARY PROBLEM;

ALGORITHMS; DATA MINING; FUZZY SETS; INFORMATION TECHNOLOGY; SUPPORTS;

ASSOCIATION RULES;

EID: 84881620516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CICT.2013.6558244     Document Type: Conference Paper

References (27)

1. Wai-Ho Au Keith C.C Chan, FARM: A Data Mining System for Discovering Fuzzy Association Rules, IEEE Fuzzy International Systems,1999.
2. Mehmet Kaya, Reda Alhajj, A Clustering Algorithm with Genetically Optimized Membership Functions for Fuzzy Association Rules Mining ,IEEE International Conference on Fuzzy Systems,2003.
3. Ya Gao, Jun Ma, Lin Ma, A New Algorithm for Minng Fuzzy Association Rules ,IEEE Third International Conference on Machine Learning and Cybernetics,2004.
4. Ehsan Vejdani Mahmoudi, Vahid Aghighi, Masood Niazi Torshiz, Mehrdad Jalali, Mahdi Yaghoobi, Mining Generalized Fuzzy Association Rules via Determining Minimum Supports .
5. Rolly Intan, Oviliani Yenty, Mining Multidimensional Fuzzy Association Rules IEEE International Conference on Convergence and Hybrid Information Technology,2008.
6. Weimin Ouyang and Qinhua Huang ,Mining Direct and Indirect Weighted Fuzzy Association Rules in Large Transaction Databases ,IEEE Eighth International Conference on Fuzzy Systems and Knowledge Discovery,2011.
7. Hung-Pin Chiu, Yi-Tsung Tang, and Kun-Lin Hsieh ,A Cluster-Based Method for Mining Generalized Fuzzy Association Rules, IEEE First International Conference on Innovative Computing, Information and Control,2006.
8. Toshihiko Watanabe, Ryosuke Fujioka Fuzzy, Association Rules Mining Algorithm Based on Equivalence Redundancy of Items.
9. Yihua Zhong, Yuxin Liao, Research of Mining effective and Weighted Association Rules Based on Dual Confidence, CPS Fourth International Conference on Computational and Information Sciences 2012
10. Weimin Ouyang and Qinhua Huang,Mining Positive and Negative Fuzzy Association Rules with Multiple Minimum Supports ,IEEE 2012.
11. Banu Ozden Sridhar Ramaswamy Avi Silberschatz, Cyclic Association Rules, Information Sciences Research Center.
12. Luo Junwei,Zhang Bo, Research on Mining Positive and Negative Association Rules, IEEE International Conference on Computer and Communication Technology in Agriculture Engineering,2010.
13. Yo-Ping Huang, Frode-Eika Sandnes and Li-Jen Kao,A Prefix Tree-based Model for Mining Association Rules from Quantitative Temporal Data
14. Wenmin Li, Jiawei Han Jian Pei,Cheng Zheng, CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules ,IEEE Intentional Conference on Systems, Man ,and Cybernetics,2012.
15. Wei Wei, Songnian Yu,Qiang Guo, Wang Ding ,Liya Bian, An Effective Algorithm for Simultaneously Mining Frequent Patterns and Association Rules, IEEE, 2008.
16. He Jiang, Yuanyuan zhao, Xiangjun Dong, Mining Positive and Negative Weighted Association Rules from Frequent Itemsets Based on Interest, International Symposium on Computational Intelligence and Design,2008.
17. De-xing Wang, Xue-Gang Hu, Xiao Ping, Hao Wang, Jun, Research on model of association rules mining with added-newly measure criteria, Third International Conference on Machine Learning and Cybernetics 2008.
18. Keon-Myung Lee,Mining Generalized Fuzzy Quantitative Associaton Rules wih Fuzzy Generalization Hierarchies, IEEE 2011.
19. Cheng Zheng, An incremental updating technique for mining indirect association rules, Proc. of the Seventh International Conference on Machine Learning and Cybernetics,12-15 July 2008 .
20. Junming Chen, Guangfa Lin, Zhihai Yang," Extracting Spatial Association Rules from the Maximum Frequent Itemsets based on Boolean Matrix", IEEE 2011.
21. Zongyao Sha, Jiangping Chen, Mining Association Rules from Dataset Containing Predetermined Decision Itemset and Rare Transactions ,IEEE 2011 Seventh International conference on Natural Computation.
22. Vaishali Bhujade, N.J Janwe," Knowledge Discovery in text mining Technique using association rule extraction", IEEE 2011 International conference on Computational Intelligence and Communication Systems.
23. Ru Miao,Xia-Jiong Shen Construction of Periodic Temporal Association Rules in Data Mining, IEEE the Seventh International Conference on Fuzzy System and Knowledge Discovery,2010.
24. Yanhong Li, A User-guided Association Rules Mining Method and its application, IEEE Fifth International Conference on Computer and Information Technology.2005.
25. Rajeev Rastogi and Kyoseok Shim,Mining Optimized Association Rules with Categorical and Numerical Attributes IEEE Transaction on Knowledge and data Engineering,2002.
26. J.Han and M. Kamber, Data Mining: Concepts and Tehniques:The Morgan Kaufman Series, 2011.
27. Gyenesi, A Fuzzy approach for Mining Quantitative Associaton Rules, Department of Computer Science,2000.