Unique Challenges of Managing Inductive Knowledge
David D. Jensen · 1997
Techniques for inducing knowledge from databases, often grouped under the term knowledge discovery, are becoming increasingly important to organizations in business, government, and science. However, relatively little attention has been paid to the long-term managementof induced knowledge. Induced knowledge presents unique challenges, including managing statistical signi cance and inductive bias. These two challenges have important implications for valid and e cient knowledge management. 1 Algorithms for inducing knowledge are becoming increasingly important in business, government, and science. In the past three years, a large number of commercial systems for knowledge discovery have been developed and elded, and these systems are being actively applied by hundreds of organizations [3]. This increasing interest has also been re ected in the research community, where knowledge discovery and data mining are the subject of