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Data mining in time series databases

Author: Mark Last; Abraham Kandel; Horst Bunke
Publisher: Singapore ; Hackensack, N.J. : World Scientific, ©2004.
Series: Series in machine perception and artificial intelligence, v. 57.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mark Last; Abraham Kandel; Horst Bunke
OCLC Number: 123406188
Notes: Title from title screen.
Description: 1 online resource.
Contents: Segmenting Time Series: A Survey and Novel Approach / E. Keogh, S. Chu, D. Hart and M. Pazzani --
A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences / M.L. Hetland --
Indexing of Compressed Time Series / E. Fink and K.B. Pratt --
Indexing Time-Series under Conditions of Noise / M. Vlachos, D. Gunopulos and G. Das --
Change Detection in Classification Models Induced from Time Series Data / G. Zeira, O. Maimon, M. Last and L. Rokach --
Classification and Detection of Abnormal Events in Time Series of Graphs / H. Bunke and M. Kraetzl --
Boosting Interval-Based Literals: Variable Length and Early Classification / C.J. Alonso Gonzþalez and J.J. Rodreguez Diez --
Median Strings: A Review / X. Jiang, H. Bunke and J. Csirik.
Series Title: Series in machine perception and artificial intelligence, v. 57.
Responsibility: editors, Mark Last, Abraham Kandel, Horst Bunke.

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