Historically speaking, data mining and time series analysis have been viewed as separate approaches to analyzing data.

Since much of the data generated by business processes is time-stamped, though, combining traditional data mining with time series analysis can help improve predictive models and decision making.

In this session, you'll learn how to use SAS Enterprise Miner to do just that.

Topics discussed include:

  • Preparing data for time series analyses.
  • Extracting features from time series data to build better predictive models.
  • Detecting similarity across different time series.

Featured Speaker

Laura Ryan is a Product Manager in Predictive Analytics Product Management at SAS. Her seven years at SAS have included additional roles as an instructor in the education division and a systems engineer in the inside sales division.

Ryan covers application data mining in SAS Enterprise Miner, including credit scoring, survival data mining, time series data mining, incremental response modeling and insurance ratemaking. Her current initiatives include new products under development.
 

 

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