Mining fuzzy multiple-level association rules from quantitative data

Applied Intelligence

Volumn 18, Issue 1, 2003, Pages 79-90

  Hong, Tzung Pei ^a   Lin, Kuei Ying ^b   Chien, Been Chian ^b  

^a NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^b I SHOU UNIVERSITY   (Taiwan)

Author keywords

Association rule; Data mining; Fuzzy set; Quantitative value; Taxonomy

Indexed keywords

ASSOCIATIVE PROCESSING; BINARY SEQUENCES; COMPUTATIONAL COMPLEXITY; DATA MINING; FUZZY SETS; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS;

ASSOCIATION RULE; BINARY VALUES; FUZZY MULTIPLE LEVEL MINING ALGORITHMS; MAXIMUM CARDINALITY; TAXONOMY;

ALGORITHMS;

EID: 0037272307     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1020991105855     Document Type: Article

References (32)

1. R.S. Michalski, I. Bratko, and M. Kubat, Machine Learning and Data Mining: Methods and Applications, John Wiley & Sons. 1998.
2. R. Agrawal, T. Imielinksi, and A. Swami, "Mining associations between sets of items in massive databases," in The 1993 ACM SIGMOD Conference on Management of Data, Washington DC, USA, 1993, pp. 207-216.
3. R. Agrawal, T. Imielinksi, and A. Swami, "Database mining: A performance perspective," IEEE Transactions on Knowledge and Data Engineering, vol. 5, no. 6, pp. 914-925, 1993
4. M.S. Chen, J. Han, and P.S. Yu, "Data mining: An overview from a database perspective," IEEE Transactions on Knowledge and Data Engineering, vol. 8, no. 6, pp. 866-883, 1996.
5. A. Famili, W.M. Shen, R. Weber, and E. Simoudis, "Data preprocessing and intelligent data analysis," Intelligent Data Analysis. vol. 1, no. 1, pp. 3-23, 1997.
6. W.J. Frawley, G. Piatetsky-Shapiro, and C.J. Matheus, "Knowledge discovery in databases: An overview," in The AAAI Workshop on Knowledge Discovery in Databases, Anaheim, CA, 1991, pp. 1-27.
7. T. Fukuda, Y. Morimoto, S. Morishita, and T. Tokuyama, "Mining optimized association rules for numeric attributes," in The Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Montreal, Canada, 1996, pp. 182-191.
8. J. Han and Y. Fu, "Discovery of multiple-level association rules from large databases," in The International Conference on Very Large Databases, Zurich, Switzerland, 1995, pp. 420-431.
9. T.P. Hong, C.S. Kuo, and S.C. Chi, "A data mining algorithm for transaction data with quantitative values," Intelligent Data Analysis, vol. 3, no. 5, pp. 363-376, 1999.
10. R. Srikant, Q. Vu, and R. Agrawal, "Mining association rules with item constraints," in The Third International Conference on Knowledge Discovery in Databases and Data Mining, Newport Beach, CA, August 1997, pp. 67-73.
11. R. Srikant and R. Agrawal, "Mining quantitative association rules in large relational tables," in The 1996 ACM SIGMOD International Conference on Management of Data, Monreal, Canada, June 1996, pp. 1-12.
12. R.L.P. Chang and T. Pavlidis, "Fuzzy decision tree algorithms," IEEE Transactions on Systems, Man and Cybernetics, vol. 7, no. 1, pp. 28-35, 1977.
13. R. Rastogi and K. Shim, "Mining optimized association rules with categorical and numeric attributes," in The 14th IEEE International Conference on Data Engineering, Orlando, 1998, pp. 503-512.
14. R. Rastogi and K. Shim, "Mining optimized support rules for numeric attributes," in The 15th IEEE International Conference on Data Engineering, Sydney, AUstralia, 1999, pp. 206-215.
15. A. Kandel, Fuzzy Expert Systems, CRC Press: Boca Raton, FL, pp. 8-19, 1992.
16. A.F. Blishun, "Fuzzy learning models in expert systems," Fuzzy Sets and Systems, vol. 22, no. 1, pp. 57-70, 1987.
17. L.M. de Campos and S. Moral, "Learning rules for a fuzzy inference model," Fuzzy Sets and Systems, vol. 59, no. 2, pp. 247-257, 1993.
18. M. Delgado and A. Gonzalez, "An inductive learning procedure to identify fuzzy systems," Fuzzy Sets and Systems, vol. 55, no. 2, pp. 121-132, 1993.
19. A. Gonzalez, "A learning methodology in uncertain and imprecise environments," International Journal of Intelligent Systems, vol. 10, no. 3, pp. 357-371, 1995.
20. T.P. Hong and J.B. Chen, "Finding relevant attributes and membership functions," Fuzzy Sets and Systems, vol. 103, no. 3, pp. 389-404, 1999.
21. T.P. Hong and J.B. Chen, "Processing individual fuzzy attributes for fuzzy rule induction," Fuzzy Sets and Systems, vol. 112, no. 1, pp. 127-140, 2000.
22. T.P. Hong and C.Y. Lee, "Induction of fuzzy rules and membership functions from training examples," Fuzzy Sets and Systems, vol. 84, no. 1, pp. 33-47, 1996.
23. J. Rives, "FID3: Fuzzy induction decision tree," in The First International Symposium on Uncertainty, Modeling and Analysis, University of Maryland: College Park, MD, pp. 457-462, 1990.
24. C.H. Wang, T.P. Hong, and S.S. Tseng, "Inductive learning from fuzzy examples," in The Fifth IEEE International Conference on Fuzzy Systems, New Orleans, 1996, pp. 13-18.
25. C.H. Wang, J.F. Liu, T.P. Hong, and S.S. Tseng, "A fuzzy inductive learning strategy for modular rules," Fuzzy Sets and Systems, vol. 103, no. 1, pp. 91-105, 1999.
26. C. Clair, C. Liu, and N. Pissinou, "Attribute weighting: A method of applying domain knowledge in the decision tree process," in The Seventh International Conference on Information and Knowledge Management, Bethesda, Maryland, USA, 1998, pp. 259-266.
27. J.R. Quinlan, "Decision tree as probabilistic classifier," in The Fourth International Machine Learning Workshop. Morgan Kaufmann: San Mateo, CA, pp. 31-37, 1987.
28. J.R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann: San Mateo, CA, 1993.
29. R. Weber, "Fuzzy-ID3: A class of methods for automatic knowledge acquisition," in The Second International Conference on Fuzzy Logic and Neural Networks, Iizuka, Japan, 1992, pp. 265-268.
30. Y. Yuan and M.J. Shaw, "Induction of fuzzy decision trees," Fuzzy Sets and Systems, vol. 69, no. 2, pp. 125-139, 1995.
31. T.P. Hong, C.S. Kuo, and S.C. Chi, "Trade-off between time complexity and number of rules for fuzzy mining from quantitative data," International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems, vol. 9, no. 5, pp, 587-604, 2001.
32. L.A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, no. 3, pp. 338-353, 1965.