03414nam 2200673Ia 450 991078322370332120230617015336.01-281-34776-09786611347765981-256-540-X1-4237-2302-3(CKB)1000000000033230(EBL)238334(OCoLC)475947809(SSID)ssj0000135023(PQKBManifestationID)11157921(PQKBTitleCode)TC0000135023(PQKBWorkID)10057434(PQKB)10713740(MiAaPQ)EBC238334(WSP)00005210(Au-PeEL)EBL238334(CaPaEBR)ebr10088379(CaONFJC)MIL134776(EXLCZ)99100000000003323020040930d2004 uy 0engur|n|---|||||txtccrData mining in time series databases[electronic resource] /editors, Mark Last, Abraham Kandel, Horst Bunke57th ed.New Jersey ;London World Scientificc20041 online resource (205 p.)Series in machine perception and artificial intelligence ;v. 57Description based upon print version of record.981-238-290-9 Includes bibliographical references.Preface; Contents; Chapter 1 Segmenting Time Series: A Survey and Novel Approach E. Keogh, S. Chu, D. Hart and M. Pazzani; Chapter 2 A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences M. L. Hetland; Chapter 3 Indexing of Compressed Time Series E. Fink and K. B. Pratt; Chapter 4 Indexing Time-Series under Conditions of Noise M. Vlachos, D. Gunopulos and G. Das; Chapter 5 Change Detection in Classification Models Induced from Time Series Data G. Zeira, O. Maimon, M. Last and L. RokachChapter 6 Classification and Detection of Abnormal Events in Time Series of Graphs H. Bunke and M. KraetzlChapter 7 Boosting Interval-Based Literals: Variable Length and Early Classification C. J. Alonso Gonzalez and J. J. Rodriguez Diez; Chapter 8 Median Strings: A Review X. Jiang, H. Bunke and J. CsirikAdding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings.Series in machine perception and artificial intelligence ;v. 57.Data miningDistributed databasesData mining.Distributed databases.006.3354.64bclLast Mark1504950Kandel Abraham28590Bunke Horst28587MiAaPQMiAaPQMiAaPQBOOK9910783223703321Data mining in time series databases3812812UNINA