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Book synopsis

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 manual examines 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 text 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 details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Data Mining In Time Series Databases
• Author: Kandel Abraham
• Language: English
• Binding: Hardback
• Number of pages: 204
• EAN: 9789812382900
• ISBN: 9812382909
• ID: 05067447
• Publisher: World Scientific Publishing Co Pte Ltd
• Weight: 431 g
• Dimensions: 229 × 157 × 18 mm
• Date of publishing: 29. June 2004

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