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http://hdl.handle.net/2122/8082| Authors: | Cassisi, C.* Montalto, P.* Aliotta, M.* Cannata, A.* Pulvirenti, A.* |
Editors: | Karahoca, A. | 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 |
Subject Classification: | 05. 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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| File | Description | Size | Format | |
|---|---|---|---|---|
| Cassisi et al InTech-Similarity_measures_and_dimensionality_reduction_techniques_for_time_series_data_mining.pdf | 1.82 MB | Adobe PDF | View/Open |
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