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A Dimensionality Reduction Technique for Efficient Time Series Similarity Analysis.Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise constant approximation (PCA) techniques that approximate each time series with constant value segments, the proposed method--Piecewise Vector Quantized Approximation--uses the closest (based on a distance measure) codeword from a codebook of key-sequences to represent each segment. The new representation is symbolic and it allows for the application of text-based retrieval techniques into time series similarity analysis. Experiments on real and...
Source: Information Systems - March 1, 2008 Category: Information Technology Authors: Wang Q, Megalooikonomou V Tags: Inf Syst Source Type: journals