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An Overview on Time Series Data Clustering

rajesh dhurtatej wagh, Shaila P. Kharde

Abstract


This paper gives an overview on time series clustering, which is an important topic now days. Time series data is has importance because of its applications, such as financial data processing like Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore in the data mining clustering such data is an important issue. Time series data are a special type of data set and large to process. This paper overview different methodology for some time series data and provides uniqueness and limitation of previous research on various application domains. 

Keywords: clustering, time series data, stock exchange, sensor data mining, anomaly detection



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References


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