Automated Analysis of Complex Data * Automated Analysis of Complex Data

نویسنده

  • Paul R. Cohen
چکیده

Igor is a knowledge-based system for exploratory statistical analysis of complex data. 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. Igor relies on a planning representation to manage the complexities of data analysis. We outline the relationship between planning and EDA, and describe how script-based plans and local search contribute to 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-C-0076 and F30602-93-C-0100. Automated Analysis of Complex Data St. Amant and Cohen Automated Analysis of Complex Data St. Amant and Cohen

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تاریخ انتشار 1994