Evolutionary data mining with automatic rule generalization

Abstract: This paper describes RAGA, a data mining system that combines evolutionary and symbolic machine learning methods, and discusses recent extensions required to extract comprehensible and strong rules from a very challenging dataset. RAGA relies on evolutionary search to highlight strong rules to which symbolic generalization techniques are applied between generations. We present some experimental results and a comparison of RAGA with other data mining systems