Intelligent support for exploratory data analysis

Robert S T Amant, Paul R Cohen

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Exploratory data analysis (EDA) is as much a matter of strategy as of selecting specific statistical operations. We have developed a knowledge-based planning system, called AIDE, to help users with EDA. AIDE strikes a balance between conventional statistical packages, which need guidance for every step in the exploration, and autonomous systems, which leave the user entirely out of the decision-making process. AIDE's processing is based on artificial intelligence planning techniques, which give us a useful means of representing some types of statistical strategy. In this article we describe the design of AIDE and its behavior in exploring a small, complex data set.

Original languageEnglish (US)
Pages (from-to)545-558
Number of pages14
JournalJournal of Computational and Graphical Statistics
Volume7
Issue number4
StatePublished - 1998
Externally publishedYes

Fingerprint

Exploratory Data Analysis
Planning
Statistical package
Knowledge-based
Autonomous Systems
Artificial intelligence
Guidance
Artificial Intelligence
Decision making
Decision Making
Processing
Strategy
Exploratory data analysis
Design
Decision-making process

Keywords

  • Artificial intelligence
  • Statistical strategy

ASJC Scopus subject areas

  • Mathematics(all)
  • Computational Mathematics
  • Statistics and Probability

Cite this

Intelligent support for exploratory data analysis. / Amant, Robert S T; Cohen, Paul R.

In: Journal of Computational and Graphical Statistics, Vol. 7, No. 4, 1998, p. 545-558.

Research output: Contribution to journalArticle

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