Horst (Hrsg.) Bunke
Data Mining in Time Series Databases
Buch
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data m…
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Beschreibung
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.
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Produktdetails
Weitere Autoren: Kandel, Abraham (Hrsg.) / Last, Mark (Hrsg.)
- ISBN: 978-981-238-290-0
- EAN: 9789812382900
- Produktnummer: 4911136
- Verlag: World Scientific Pub Co Inc
- Sprache: Englisch
- Erscheinungsjahr: 2004
- Seitenangabe: 192 S.
- Masse: H22.9 cm x B15.7 cm x D1.8 cm 431 g
- Reihenbandnummer: 57
- Gewicht: 431
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