Data Mining In Time Series Databases
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Change Detection
Data Mining
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Graph Similarity
Graphs
Knowledge Discovery in Databases
Machine Learning
Segmentation
String Distance
Time Series Analysis
Times Series
Product details
- ISBN 9789812382900
- Publication Date: 29 Jun 2004
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
