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Acknowledgement
This research was supported by the National Science Council of the Republic
of China under contract NSC94-2213-E-390-005.
References
1. Au W H, Chan K C C (2004) Mining fuzzy rules for time series classification.
The 2004 IEEE International Conference on Fuzzy Systems, Vol. 1, pp. 239-244
2. Agrawal R, Psaila G, Wimmers E L, Zait M (1995) Querying shapes of histories.
The 21st International Conference on Very Large Databases, pp. 502-514
3. Agrawal R, Srikant R (1994) Fast algorithm for mining association rules. The
International Conference on Very Large Databases, pp. 487-499
4. Chen S M, Hwang J R (2000) Temperature prediction using fuzzy time series.
IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics,
Vol. 30, No. 2, pp. 263-275
5. Hettich S, Bay S D (1999) The UCI KDD Archive, Department of Information
and Computer Science, University of California, Irvine, CA
6. Hong T P, Kuo C S, Chi S C (1999) Mining association rules from quantitative
data. Intelligent Data Analysis, Vol. 3, No. 5, pp. 363-376
7. Hong T P, Kuo C S, Chi S C (2001) 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
8. Indyk P, Koudas N, Muthukrishnan S (2001) Identifying representative trends in
massive time series data sets using sketches. The 26th International Conference
on Very Large Data Bases, pp. 363-372
9. Keogh E, Chakrabarti K, Pazzani M, Mehrotra S (2001) Dimensionality reduc-
tion for fast similarity search in large time series databases. Journal of Knowl-
edge and Information Systems, Vol. 3, No. 3, pp. 263-286
10. Lee Y C, Hong T P, Lin W Y (2004) Mining fuzzy association rules with multiple
minimum supports using maximum constraints. Lecture Notes in Computer
Science, Vol. 3214, pp. 1283-1290
11. Patel P, Keogh E, Lin J, Lonardi S (2002) Mining motifs in massive time series
databases. The IEEE International Conference on Data Mining, pp. 370-377
12. Song Q, Chissom B S (1993) Fuzzy time series and its models. Fuzzy Sets
System, Vol. 54, No. 3, pp. 269-277
13. Udechukwu A, Barker K, Alhajj R (2004) Discovering all frequent trends in time
teries. The 2004 Winter International Symposium on Information and Commu-
nication Technologies, pp. 1-6
14. Watanabe N (2004) A fuzzy rule based time series model. The IEEE Annual
Meeting on Fuzzy Information, Vol. 2, pp. 936-940
15. Yi B K, Faloutsos C (2000) Fast time sequence indexing for arbitrary Lp norms.
The 26th International Conference on Very Large Databases, pp. 385-394
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