Mark Last, Abraham Kandel, Horst Bunke's Data mining in time series databases PDF

By Mark Last, Abraham Kandel, Horst Bunke

ISBN-10: 9812382909

ISBN-13: 9789812382900

This skinny e-book offers 8 educational papers discussing dealing with of sequences. i didn't locate any of them attention-grabbing by itself or solid as a survey, yet teachers doing examine in computing device studying could disagree. while you're one, you probably can get the unique papers. while you're a practitioner, go with out a moment concept.

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For a summary of the notation, see Table 1. Table 1. x x ˜ xi xi:j |x| Notation. A sequence A signature of x Element number i of x Elements i to j (inclusive) of x The length of x 26 M. L. Hetland 2. The Problem The problem of retrieving similar time sequences may be stated as follows: Given a sequence q, a set of time sequences X, a (non-negative) distance measure d, and a tolerance threshold ε, find the set R of sequences closer to q than ε, or, more precisely: R = {x ∈ X|d(q, x) ≤ ε}. (3) Alternatively, one might wish to find the k nearest neighbours of q, which amounts to setting ε so that |R| = k.

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. 599–609. 27. Mannila, H. and Ronkainen, P. (1997). Similarity of Event Sequences. Proc. 4th Int. Workshop on Temporal Representation and Reasoning, TIME, pp. 136–139. 28. , and Hsu, C. (2000). Efficient Search for Similar Subsequences of Different Lengths in Sequence Databases. Proc. 16th Int. Conf. on Data Engineering (ICDE), pp.

Keogh and Pazzani (2000) also described a point-by-point similarity with modified Euclidean distance, which does not require interpolation. Indexing and retrieval. Researchers have studied a variety of techniques for indexing of time series. For example, Deng (1998) applied kdtrees to arrange series by their significant features, Chan and Fu (1999) combined wavelet transforms with R-trees, and Bozkaya and her colleagues used vantage-point trees for indexing series by numeric features ¨ [Bozkaya et al.

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


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