Data mining in time series databases
Mark Last, Abraham Kandel, Bunke, Horst · 2004
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About the book
"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."--BOOK JACKET.
Book details
- Year
- 2004
- Language
- English
- Publisher
- World Scientific Pub Co Inc
- Editions
- 3
- Pages
- 192
- ISBN
- 9789812382900
Data source: Wikidata
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