A Planning Representation for Automated Exploratory Data Analysis

نویسنده

  • Paul R. Cohen
چکیده

Igor is a knowledge-based system for exploratory statistical analysis of complex systems and environments. Igor has two related goals: to help automate the search for interesting patterns in data sets, and to help develop models that capture significant relationships in the data. We outline a language for Igor, based on techniques of opportunistic planning, which balances control and opportunism. We describe the application of Igor to the the analysis of the behavior of Phoenix, an artificial intelligence planning system. * This research is supported by the Advanced Research Projects Agency and Rome Laboratory under contracts F30602-91-C0076 and F30602-93-C-0100. A Planning Representation for Automated Exploratory Data Analysis St. Amant and Cohen A Planning Representation for Automated Exploratory Data Analysis St. Amant and Cohen

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تاریخ انتشار 1994