A soft set approach for association rules mining

Knowledge-Based Systems

Volumn 24, Issue 1, 2011, Pages 186-195

  Herawan, Tutut ^a   Deris, Mustafa Mat ^b  

^a UNIVERSITY MALAYSIA PAHANG   (Malaysia)

^b UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

Author keywords

Association rules mining; Boolean valued information systems; Items co occurrence; Maximal association rules mining; Soft set theory

Indexed keywords

ASSOCIATION RULES MINING; BOOLEAN-VALUED INFORMATION SYSTEMS; CO-OCCURRENCE; MAXIMAL ASSOCIATION; SOFT SETS;

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; INFORMATION SYSTEMS; SET THEORY;

DATA MINING;

EID: 77958018261     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.08.005     Document Type: Article

References (21)

1. R. Agrawal, T. Imielinski, A. Swami, Mining association rules between sets of items in large databases, in: Proceedings of the ACM SIGMOD International Conference on the Management of Data, 1993, pp. 207-216.
2. R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), 1994, pp. 487-499.
3. M. Mat Deris, N.F. Nabila, D.J. Evans, M.Y. Saman, and A. Mamat Association rules on significant rare data using second support International Journal of Computer Mathematics 83 1 2006 69 80
4. A.H.L. Lim, and C.S. Lee Processing online analytics with classification and association rule mining Knowledge-Based Systems 23 3 2010 248 255
5. Y.L. Chen, and C.H. Weng Mining fuzzy association rules from questionnaire data Knowledge-Based Systems 22 1 2009 46 56
6. D. Molodtsov Soft set theory-first results Computers and Mathematics with Applications 37 1999 19 31
7. L.A. Zadeh Fuzzy set Information and Control 8 1965 338 353
8. P.K. Maji, A.R. Roy, and R. Biswas An application of soft sets in a decision making problem Computers and Mathematics with Applications 44 2002 1077 1083
9. D. Chen, E.C.C. Tsang, D.S. Yeung, and X. Wang The parameterization reduction of soft sets and its applications Computers and Mathematics with Applications 49 2005 757 763
10. A.R. Roy, and P.K. Maji A fuzzy soft set theoretic approach to decision making problems Journal of Computational and Applied Mathematics 203 2007 412 418
11. Y. Zou, and Z. Xiao Data analysis approaches of soft sets under incomplete information Knowledge Based Systems 21 2008 941 945
12. Z. Kong, L. Gao, L. Wang, and S. Li The normal parameter reduction of soft sets and its algorithm Computers and Mathematics with Applications 56 2008 3029 3037
13. R. Feldman, Y. Aumann, A. Amir, A. Zilberstein, W. Klosgen, Maximal association rules: a new tool for mining for keywords cooccurrences in document collections, in: The Proceedings of the KDD 1997, 1997, pp. 167-170.
14. A. Amir, Y. Aumann, R. Feldman, and M. Fresco Maximal association rules: a tool for mining associations in text Journal of Intelligent Information Systems 25 3 2005 333 345
15. J.W. Guan, D.A. Bell, D.Y. Liu, The rough set approach to association rule mining, in: The Proceedings of the Third IEEE International Conference on Data Mining (ICDM'03), 2003, pp. 529-532.
16. P.K. Maji, R. Biswas, and A.R. Roy Soft set theory Computers and Mathematics with Applications 45 2003 555 562
17. Y. Bi, T. Anderson, and S. McClean A rough set model with ontologies for discovering maximal association rules in document collections Knowledge-Based Systems 16 2003 243 251
18. J.W. Guan, D.A. Bell, and D.Y. Liu Mining Association Rules with Rough Sets Studies in Computational Intelligence 2005 Springer Heidelberg pp. 163-184
19. Reuters-21578, , retrieved on July 12th, 2010.
20. T. Herawan, M. Mat Deris, and J.H. Abawajy A rough set approach for selecting clustering attribute Knowledge-Based Systems 23 3 2010 220 231
21. Y. Qian, J. Liang, D. Li, F. Wang, and N. Ma Approximation reduction in inconsistent incomplete decision tables Knowledge-Based Systems 23 5 2010 427 433