Database Reference
In-Depth Information
24. Gavrilov, M., Anguelov, D., Indyk, P., and Motwani, R. (2000). Mining the
Stock Market: Which Measure is Best.
Proceedings of the Sixth ACM Inter-
national Conference on Knowledge Discovery and Data Mining
, pp. 487-496.
25. Geva., A.B. (1999). Hierarchical-Fuzzy Clustering of Temporal Patterns
and its Application for Time-Series Prediction.
Pattern Recognition Letters
,
20
(14), 1519-1532.
26. Goldin, D.Q., and Kanellakis, P.C. (1995). On Similarity Queries for Time-
Series Data: Constraint Specification and Implementation.
Proceedingsofthe
First International Conference on Principles and Practice of Constraint Pro-
gramming
, pp. 137-153.
27. Graps, A.L. (1995). An Introduction to Wavelets.
IEEE Computational Sci-
ence and Engineering
,
2
(2), 50-61.
28. Grenander, U. (1996).
Elements of Pattern Theory
, Johns Hopkins University
Press, Baltimore, MD.
29. Guralnik, V., and Srivastava, J. (1999). Event Detection from Time Series
Data.
Proceedings of the Fifth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining
, pp. 33-42.
30. Guralnik, V., Wijesekera, D., and Srivastava, J. (1998). Pattern-
Directed Mining of Sequence Data.
Proceedings of the Fourth ACM
International Conference on Knowledge Discovery and Data Mining
,
pp. 51-57.
31. Gusfield, D. (1997).
Algorithms on Strings, Trees, and Sequences: Computer
Science and Computational Biology
, Cambridge University Press, Cambridge,
United Kingdom.
32. Han, J., Gong, W., and Yin, Y. (1998). Mining Segment-Wise Peri-
odic Patterns in Time-Related Databases.
Proceedings of the Fourth
ACM International Conference on Knowledge Discovery and Data Mining
,
pp. 214-218.
33. Haslett, J., and Raftery, A.E. (1989). Space-Time Modeling with Long-
Memory Dependence: Assessing Ireland's Wind Power Resource.
Applied
Statistics
,
38
, 1-50.
34. Huang, Y.-W. and Yu, P.S. (1999). Adaptive Query Processing for Time-
Series Data.
Proceedings of the Fifth International Conference on Knowledge
Discovery and Data Mining
, pp. 282-286.
35. Ikeda, K., Vaughn, B.V., and Quint, S.R. (1999). Wavelet Decomposition
of Heart Period Data.
Proceedings of the IEEE First Joint BMES/EMBS
Conference
, pp. 3-11.
36. Keogh, E.J. and Pazzani, M.J. (1998). An Enhanced Representation of Time
Series which Allows Fast and Accurate Classification, Clustering and Rele-
vance Feedback.
Proceedings of the Fourth ACM International Conference on
Knowledge Discovery and Data Mining
, pp. 239-243.
37. Keogh, E.J., and Pazzani, M.J. (2000). Scaling up Dynamic Time
Warping for Data Mining Applications.
Proceedings of the Sixth ACM
International Conference on Knowledge Discovery and Data Mining
,
pp. 285-289.
