OPTIMIZATION OF MULTIPLE CLASSIFIERS IN DATA MINING BASED ON STRING REWRITING SYSTEMS
Richard Dazeley, Andrei V. Kelarev, John L. Yearwood, Musa A. Mammadov · Asian-European Journal of Mathematics · 2009
Optimization of multiple classifiers is an important problem in data mining. We introduce additional structure on the class sets of the classifiers using string rewriting systems with a convenient matrix representation. The aim of the present paper is to develop an efficient algorithm for the optimization of the number of errors of individual classifiers, which can be corrected by these multiple classifiers.