Data mining in time series databases

Horst Bunke, Abraham Kandel, Mark Last

Research output: Book/ReportBook


Adding 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.
Original languageEnglish
Place of PublicationNew Jersey
PublisherWorld Scientific
Number of pages192
ISBN (Electronic)1281347760, 1423723023, 9781423723028, 9786611347765, 9789812382900, 9812382909, 981256540X
StatePublished - 2004

Publication series

NameSeries in machine perception and artificial intelligence
PublisherWorld Scientific


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