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 language | English (US) |
|---|---|
| Pages (from-to) | 545-558 |
| Number of pages | 14 |
| Journal | Journal of Computational and Graphical Statistics |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1998 |
| Externally published | Yes |
Keywords
- Artificial intelligence
- Statistical strategy
ASJC Scopus subject areas
- Statistics and Probability
- Discrete Mathematics and Combinatorics
- Statistics, Probability and Uncertainty
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