Michael J. Pazzani,
Knowledge discovery from data?,
IEEE-IS,
15, 2, pp. 10-13, March/April 2000.
Michael J. Pazzani,
Knowledge discovery from data?,
IEEE-IS,
15, 2, pp. 10-13, March/April 2000.This issue of Intelligent Systems, along with the Nov./Dec. 1999 issue, features articles on the topic of knowledge discovery in data (KDD). In this installment of Trends and Controveries, Michael Pazzani, chair of UC Irvine's Information and Computer Science Department, boldly challenges the KDD community to examine whether or not their work is really living up to its name: helping people discover new knowledge. As a prominent practitioner in the field, he is critiquing his own work as well as that of others. Not content to just point out the problem, Pazzani suggests a new direction: researchers should draw on cognitive psychology for insight about how to create tools to help design knowledge-discovery systems.