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Application of Time Series Clustering using SAS ® Enterprise Miner TM for a Retail Chain, SAS ® Global Forum 2012

Much of the data that are generated in the operational side of a business have a built-in time dimension. One of the challenges of doing data mining using such time-series data is the complexity of handling a large number of time series. Time series clustering provides a way to reduce the complexity by categorizing large number of time series into a smaller subset such that series within each subset are relatively homogenous but series between subsets are heterogeneous.