Knowledge discovered from data tables is often presented in terms of "if... then..." decision rules. With each rule a confidence measure is associated. We present a method for measuring importance of each single condition or interactions among groups of conditions in the "if" part of the rules. The methodology is based on some indices introduced in literature to analyze fuzzy measures.
|Title of host publication||Rough sets and current trends in computing|
|Subtitle of host publication||third international conference, RSCTC 2002 Malvern, PA, USA, october 14–16, 2002 proceedings|
|Editors||James J. Alpigini, James F. Peters, Andrzej Skowron, Ning Zhong|
|Place of Publication||Berlin, Germany|
|Number of pages||8|
|Publication status||Published - Oct 2002|
|Name||Lecture notes in computer science|