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Data Mining In Time Series Databases

Data Mining In Time Series Databases by Mark Last
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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.
World Scientific Publishing Company; January 2004
205 pages; ISBN 9789814486545
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Title: Data Mining In Time Series Databases
Author: Mark Last; Abraham Kandel; Horst Bunke