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Control Representation in an EDA Assistant

  • Robert St. Amant
  • Paul R. Cohen
Part of the Lecture Notes in Statistics book series (LNS, volume 112)

Abstract

To develop an initial understanding of complex data, one often begins with exploration. Exploratory data analysis (EDA) provides a set of statistical tools through which patterns in data may be extracted and examined in detail. The search space of EDA operations is enormous, too large to be explored directly in a data-driven manner. More abstract EDA procedures can be captured, however, by representations commonly used in AI planning systems. We describe an implemented planning representation for Aide, an automated EDA assistant, with a focus on control issues.

Keywords

Ship Cost Control Plan Attribute Transformation Statistical Strategy Exploratory Data Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1996

Authors and Affiliations

  • Robert St. Amant
    • 1
  • Paul R. Cohen
    • 1
  1. 1.Computer Science Dept., LGRCUniversity of MassachusettsAmherstUSA

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