Data Mining in Time Series Databases

Download or Read eBook Data Mining in Time Series Databases PDF written by Abraham Kandel and published by World Scientific. This book was released on 2004 with total page 205 pages. Available in PDF, EPUB and Kindle.
Data Mining in Time Series Databases
Author :
Publisher : World Scientific
Total Pages : 205
Release :
ISBN-10 : 9789812565402
ISBN-13 : 981256540X
Rating : 4/5 (02 Downloads)

Book Synopsis Data Mining in Time Series Databases by : Abraham Kandel

Book excerpt: Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings. Theproblem of detecting changes in data mining models that are inducedfrom temporal databases is additionally discussed.


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