Fuzzy data mining for time-series data

Applied Soft Computing Journal

Volumn 12, Issue 1, 2012, Pages 536-542

  Chen, Chun Hao ^a   Hong, Tzung Pei ^b,c   Tseng, Vincent S ^d  

^a TAMKANG UNIVERSITY   (Taiwan)

^b NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^c NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^d NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Association rule; Data mining; Fuzzy set; Sliding window; Time series

Indexed keywords

DATA MINING TECHNIQUES; FUZZY MINING; FUZZY-DATA MINING; ITEM SETS; LINGUISTIC RULES; MINING ALGORITHMS; POST PROCESSING; QUANTITATIVE VALUES; REDUNDANT PATTERNS; RESEARCH FIELDS; SLIDING WINDOW; TIME-SERIES DATA;

ASSOCIATION RULES; DATA MINING; FUZZY SETS; LINGUISTICS; MATHEMATICAL MODELS; NEURAL NETWORKS; TIME SERIES;

TIME SERIES ANALYSIS;

EID: 81155155580     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.08.006     Document Type: Article

References (30)

1. W.H. Au, and K.C.C. Chan Mining fuzzy rules for time series classification The 2004 IEEE International Conference on Fuzzy Systems, vol. 1 2004 239 244 (Pubitemid 40028110)
2. J. Aach, and G. Church Aligning gene expression time series with time warping algorithms Bioinformatics 17 2001 495 508 (Pubitemid 32600496)
3. R. Agrawal, T. Imielinksi, and A. Swami Mining association rules between sets of items in large database The 1993 ACM SIGMOD Conference Washington DC, USA 1993 207 216
4. R. Agrawal, T. Imielinksi, and A. Swami Database mining: a performance perspective IEEE Transactions on Knowledge and Data Engineering 5 6 1993 914 925
5. R. Agrawal, R. Srikant, and Q. Vu Mining association rules with item constraints The Third International Conference on Knowledge Discovery in Databases and Data Mining Newport Beach, California 1997 67 73
6. R. Agrawal, and R. Srikant Fast algorithm for mining association rules The International Conference on Very Large Databases 1994 487 499
7. F.L. Chung, T.C. Fu, R. Luk, and V. Ng Evolutionary time series segmentation for stock data mining 2002 IEEE International Conference on Data Mining 9-12 December 2002 83 90
8. C.H. Cai, W.C. Fu, C.H. Cheng, and W.W. Kwong Mining association rules with weighted items The International Database Engineering and Applications Symposium 1998 68 77
9. S.M. Chen, and J.R. Hwang Temperature prediction using fuzzy time series IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics 30 2 2000 263 275
10. B. Chiu, E. Keogh, and S. Lonardi Research track: Probabilistic discovery of time series motifs Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2003
11. S.H. Chen, and C.H. Yeh Using genetic programming to model volatility in financial time series: The case of Nikkei 225 and S&P 500 The Second Annual Conference on Genetic Programming 1997 58 63
12. G. Das, K. Lin, H. Mannila, G. Renganathan, and P. Smyth Rule discovery from time series Proceedings of the 4 the International Conference on Knowledge Discovery and Data Mining New York, NY 1998 16 22
13. S. Erdal, O. Ozturk, D. Armbruster, H. Ferhatosmanoglu, and W.C. Ray A time series analysis of microarray data Fourth IEEE Symposium on Bioinformatics and Bioengineering 2004 366 375
14. I. Graham, and P.L. Jones Expert Systems - Knowledge, Uncertainty and Decision 1988 Chapman and Computing Boston pp.117-158
15. T.P. Hong, C.S. Kuo, and S.C. Chi Mining association rules from quantitative data Intelligent Data Analysis 3 5 1999 363 376 (Pubitemid 33260723)
16. T.P. Hong, C.H. Chen, Y.L. Wu, and Y.C. Lee Using divide-and-conquer GA strategy in fuzzy data mining The Ninth IEEE Symposium on Computers and Communications 2004
17. T.P. Hong, C.H. Chen, Y.L. Wu, and Y.C. Lee Fining active membership functions in fuzzy data mining The Fourth Workshop on the Foundation of Data Mining and Discovery in The 2004 IEEE International Conference on Data Mining 2004 65 71
18. 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 9 5 2001 587 604
19. A. Kandel Fuzzy Expert Systems 1992 CRC Press Boca Raton pp. 8-19
20. H. Lei, and V. Govindaraju Regression time warping for similarity measure of sequence The Fourth International Conference on Computer and Information Technology September 2004 826 830
21. Y.C. Lee, T.P. Hong, and W.Y. Lin Mining fuzzy association rules with multiple minimum supports using maximum constraints Lecture Notes in Computer Science 3214 2004 1283 1290
22. E.H. Mamdani Applications of fuzzy algorithms for control of simple dynamic plants IEEE Proceedings 1974 1585 1588
23. Y.Q. Peng, Y. Zhang, and H.S. Tian Research of time series pattern finding based on artificial neural network 2003 International Conference on Machine Learning and Cybernetics, vol. 3 2003 1385 1388
24. Q. Song, and B.S. Chissom Fuzzy time series and its models Fuzzy Sets System 54 3 1993 269 277
25. J.P.C. Valente, and I.L. Chavarrias Discovering similar patterns in time series Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2000 497 505
26. N. Watanabe A fuzzy rule based time series model IEEE Annual Meeting of the Fuzzy Information 2 2004 936 940
27. R. Weber Fuzzy-ID3: a class of methods for automatic knowledge acquisition The Second International Conference on Fuzzy Logic and Neural Networks Iizuka, Japan 1992 265 268
28. Y. Yang, and G. Liu Multivariate time series prediction based on neural networks applied to stock market 2001 IEEE International Conference on Systems, Man, and Cybernetics, vol. 4 2001 2680 (Pubitemid 34199600)
29. S. Yue, E. Tsang, D. Yeung, and D. Shi Mining fuzzy association rules with weighted items The IEEE International Conference on Systems, Man and Cybernetics 2000 1906 1911 (Pubitemid 32069050)
30. L.A. Zadeh Fuzzy sets Information and Control 8 3 1965 338 353