Integrating and Updating Domain Knowledge with Data Mining

Abstract

Most current tools for data mining lack support for intelligent analysis and filtering of mined patterns. Dividing interesting mining results from uninteresting ones still is a laborious task mainly performed by human users. We propose to employ formalized domain knowledge for assessing the interestingness of mining results. We present considerations and ideas as foundations of the design of an intelligent data mining environment.