Interaction with a mixed-initiative system for exploratory data analysis

Robert St. Amant, Paul R. Cohen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is difficult, however, even with the help of modern statistical software. We have developed an assistant for data exploration, based on AI planning techniques, that addresses some of the strategic shortcomings of conventional software. This paper describes the design and behavior of the system and discusses an experimental evaluation that demonstrates the effectiveness of our approach.

Original languageEnglish (US)
Pages (from-to)265-273
Number of pages9
JournalKnowledge-Based Systems
Issue number5
StatePublished - Mar 1998
Externally publishedYes


  • Artificial intelligence
  • Data exploration
  • Planning

ASJC Scopus subject areas

  • Management Information Systems
  • Software
  • Information Systems and Management
  • Artificial Intelligence


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