Mining Online Store Client Assessment Classification Rules with Genetic Algorithms

The paper presents the results of the research into algorithms that are not meant to mine classification rules, yet they contain all the necessary functions which allow us to use them for mining classification rules such as Genetic algorithm (GA). The main task of the research is associated with the application of GA to classification rule mining. A classic GA was modified to match the chosen classification task and was compared with other popular classification algorithms - JRip, J48 and Naive Bayes classifier. The paper describes the algorithm proposed and the application task as well as provides a comparative analysis of the obtained results with other algorithms.