Mining Top-k Covering Rule Groups for Gene Expression Data Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, and Xin Xu   View Paper (PDF)   Return to Mining Biological and Medical Data (Research) Abstract which despite generating excessive number of redundant rules, is still unable to cover some training data with the discovered rules. Experiments show that the RCBT classifier can match or outperform other state-of-the-art classifiers on several benchmark gene expression datasets. In addition, the top-k covering rule groups themselves provide insights into the mechanisms responsible for diseases directly. ©2006 Association for Computing Machinery