Intelligent Support for Exploratory Data Analysis (1998)
| Venue: | Journal of Computational and Graphical Statistics |
| Citations: | 17 - 1 self |
BibTeX
@ARTICLE{Amant98intelligentsupport,
author = {Robert St. Amant and Paul R. Cohen},
title = {Intelligent Support for Exploratory Data Analysis},
journal = {Journal of Computational and Graphical Statistics},
year = {1998},
volume = {7},
pages = {545--558}
}
OpenURL
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 dataset. Keywords: exploratory data analysis, artificial intelligence 1 1 Strategic aspects of exploration Exploring data is as much a matter of strategy as of selecting specific statistical operations. In his introduction to exploratory data analysis, for example, Tukey begins by laying out some general guidelines for desc...







