£66.52

Scientific Publishing Data Mining in Time Series Databases (Series in Machine Perception & Artificial Intelligence: Vol. 57)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 June 2004
Listed Since
05 February 2007

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