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Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/8082

Authors: Cassisi, C.*
Montalto, P.*
Aliotta, M.*
Cannata, A.*
Pulvirenti, A.*
Editors: Karahoca, A.; Bahcesehir University, Engineering Faculty
Title: Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
Publisher: Intech
Issue Date: 2012
URL: http://dx.doi.org/10.5772/49941
ISBN: 978-953-51-0748-4
Keywords: data mining
knowledge discovery
Similarity Measures
Abstract: The chapter is organized as follows. Section 2 will introduce the similarity matching problem on time series. We will note the importance of the use of efficient data structures to perform search, and the choice of an adequate distance measure. Section 3 will show some of the most used distance measure for time series data mining. Section 4 will review the above mentioned dimensionality reduction techniques.
Appears in Collections:Book chapters
05.01.99. General or miscellaneous

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