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A Survey on Time Series Data Mining

Kumar Vasimalla

To provide an overview this paper surveys and summarizes previous works done in the clustering, classification andsegmentation of time series data in various application domains. The basics of time series mining are presented, including measures to determine similarity/dissimilarity between two time series being compared, general purpose data mining algorithms commonly used in time series data mining, the criteria for evaluating the performance of the mining results and we hope that this review will serve as a stepping stone to researchers in advancing this area of research.