160-2011: Time Series Data Mining with SAS® Enterprise MinerTM
نویسندگان
چکیده
Traditionally, data mining and time series analysis have been seen as separate approaches to analyzing enterprise data. However, much of the data generated by business processes is time-stamped. Time series data mining is a marriage of forecasting and traditional data mining techniques that uses time dimensions and predictive analytics to to make better business decisions. SAS has developed a collection of techniques that will be integrated into SAS Enterprise Miner 7.1. This paper introduces these new time series data mining techniques.
منابع مشابه
Feature Extraction Methods for Time Series Data in SAS Enterprise MinerTM
Because time series data have a unique data structure, it is not easy to apply some existing data mining tools directly to the data. For example, in classification and clustering problems, each time point is often considered a variable and each time series is considered an observation. As the time dimension increases, the number of variables also increases, in proportion to the time dimension. ...
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