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DATA MINING IN TIME SERIES DATABASES

Gebonden Engels 2004 9789812382900
€ 152,71
Levertijd ongeveer 11 werkdagen
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Samenvatting

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.

Specificaties

ISBN13:9789812382900
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:204
Uitgever:World Scientific Publishing Co Pte Ltd

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Inhoudsopgave

A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences (H M Lie); Indexing of Compressed Time Series (E Fink & K Pratt); Boosting Interval-Based Literal: Variable Length and Early Classification (J J Rodriguez Diez); Segmenting Time Series: A Survey and Novel Approach (E Keogh et al); Indexing Similar Time Series under Conditions of Noise (M Vlachos et al); Classification of Events in Time Series of Graphs (H Bunke & M Kraetzl); Median Strings - A Review (X Jiang et al); Change Detection in Classification Models of Data Mining (G Zeira et al).

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