A Planner for Exploratory Data Analysis

Statistical exploratory data analysis (EDA) poses a di cult search problem. However, the EDA process lends itself to a planning formulation. We have built a system, called Aide, to help users explore data. Aide relies on partial hierarchical planning, a form of planning appropriate for tasks in complex, uncertain environments. Our description of the EDA task and the Aide system provides a case study of the successful application of planning to a novel domain.

• Type: Conference
• Year: 1996
• Where: AIPS
• Authors: Robert St. Amant, Paul R. Cohen
• Keywords: AIPS 1996, Artificial Intelligence, Di Cult Search, Partial Hierarchical Planning, Statistical Exploratory Data