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International Conference on Engineering and Business Management (EBM 2010 PAPERBACK)

Chengdu,China,China,3.24-3.26,2010

ISBN: 978-1-935068-05-1 Scientific Research Publishing, USA

Paperback 6066pp Pub. Date: March 2010

Category: Engineering

Price: $280

Title: An Efficient Clustering Algorithm for Multivariate Time Series
Source: International Conference on Engineering and Business Management (EBM 2010 PAPERBACK) (pp 5190-5193)
Author(s): Da-Zhuo ZHOU, Computer Centre, Hebei University of Economics and Trade, Shijiazhuang, China
Bo ZHANG, Computer Centre, Hebei University of Economics and Trade, Shijiazhuang, China
Abstract: Abstract: A nonlinear method to similarity search of similarity search is presented. In order to efficiently perform similarity search for multivariate time series datasets with the Eros similarity measure, this algorithm allows the MTS items to be indexed by using a R-tree structure. Theoretic analysis and experimental results show that algorithm is effective and efficient.
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