A planning representation for automated exploratory data analysis

Robert St Amant; Paul R. Cohen

doi:10.1117/12.169406

A planning representation for automated exploratory data analysis

Robert St Amant, Paul R. Cohen

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	44-52
Number of pages	9
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2244
DOIs	https://doi.org/10.1117/12.169406
State	Published - Mar 1 1994
Externally published	Yes
Event	Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry 1994 - Orlando, United States Duration: Apr 4 1994 → Apr 8 1994

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.169406

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title = "A planning representation for automated exploratory data analysis",

abstract = "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.",

author = "{St Amant}, Robert and Cohen, {Paul R.}",

note = "Funding Information: This isearch is supported by the Advanced Research Projects Agency and Rome Laboratory under contrts F30602-91- Publisher Copyright: {\textcopyright} 1994 SPIE. All rights reserved.; Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry 1994 ; Conference date: 04-04-1994 Through 08-04-1994",

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AU - Cohen, Paul R.

PY - 1994/3/1

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AB - 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.

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JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry 1994

Y2 - 4 April 1994 through 8 April 1994

ER -

A planning representation for automated exploratory data analysis

Abstract

ASJC Scopus subject areas

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