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.* 
Title: Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
Issue Date: 2012
Publisher: Intech
URI: http://hdl.handle.net/2122/8082
ISBN: 978-953-51-0748-4
Keywords: data mining
knowledge discovery
Similarity Measures
Subject Classification05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous 
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

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