Rule Qualities and Knowledge Combination for Decision-Making

Abstract

Within the past several years, research in decision-supporting systems has been investigating the possibilities of enhancing their overall performance, particularly their prediction (classification) accuracy, or performance quality, and their time complexity. One such discipline, data mining (DM), processes usually very large databases in a profound and robust way. Since data are collected and stored at a very large acceleration these days, there has been an urgent need for a new generation of robust software packages to extract useful information or knowledge from large volumes of data. Research is supposed to develop methods and techniques to process large data in order to receive knowledge, which is hidden in these databases, that would be compact, more or less abstract, but understandable and useful for further applications.