Data Mining in Time Series Databases
Overview
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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Details
- ISBN-13: 9789812382900
- ISBN-10: 9812382909
- Publisher: World Scientific Publishing Company
- Publish Date: June 2004
- Dimensions: 9 x 6.2 x 0.7 inches
- Shipping Weight: 0.95 pounds
- Page Count: 204
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