Download Data mining in time series databases by Mark Last, Abraham Kandel, Horst Bunke PDF

By Mark Last, Abraham Kandel, Horst Bunke

This skinny publication provides 8 educational papers discussing dealing with of sequences. i didn't locate any of them attention-grabbing by itself or sturdy as a survey, yet teachers doing study in computing device studying might disagree. while you're one, you probably can get the unique papers. when you are a practitioner, go with out a moment inspiration.

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SIGMOD Record, 26(2), 13–25. 31. Sankoff, D. , ed. (1999). Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison. CSLI Publications, reissue edition. 32. , and Faloutsos, C. (1987). The R+ -Tree: A Dynamic Index for Multi-Dimensional Objects. Proc. 13th Int. Conf. on Very Large Database (VLDB), pp. 507–518. 33. Shatkay, H. (1995). The fourier transform: A primer. Technical Report CS95-37, Brown University. 34. Wang, H. and Perng, C. (2001). The S 2 -Tree. An Index Structure for Subsequence Matching of Spatial Objects.

W. (1999). Efficient Time Series Matching by Wavelets. Proc. 15th Int. Conf. on Data Engineering (ICDE), pp. 126–133. 7. L. (1993). Introduction to Algorithms, MIT Press. 8. , and Smyth, P. (1998). Rule Discovery from Time Series. Proc. 4th Int. Conf. on Knowledge Discovery and Data Mining (KDD), pp. 16–22. 9. , and Milo, T. (1997). A Signature Technique for Similarity-Based Queries. Proc. Compression and Complexity of Sequences (SEQUENCES). 10. Faloutsos, C. -I. (1995). FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets.

And Chiu, B. (2002). Finding Surprising Patterns in a Time Series Database in Linear Time and Space. Proc. 8th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), pp. 550–556. 25. W. (2001). An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases. Proc. 17th Int. Conf. on Data Engineering (ICDE), pp. 607–614. 26. , and Chung, C. (2000). Similarity Search for Multidimensional Data Sequences. Proc. 16th Int. Conf. on Data Engineering (ICDE), pp.

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