Interaction with a mixed-initiative system for exploratory data analysis
Robert St. Amant, Paul R. Cohen · 1997
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 illustrates the behavior of the system, gives a high level description of its design, and discusses its experimental evaluation.