International Journal of Computer Science Issues

More than a traditional journal...

Classification is a data mining (machine learning) technique used to assign group membership to various data instances. Indeed there are many classification techniques available for a scientist wishing to discover a model for his/her data. This diversity can cause trouble as to which method should be applied to which data set to solve a particular domain concentrated problem. This review paper presents several major classification techniques like Decision Tree Induction, Bayesian Classification, Rule-based Classification, classification by Back Propagation, Support Vector Machines, Lazy Learners, Genetic Algorithms, Rough Set Approach, and Fuzzy Set Approach. The goal of this survey is to provide a comprehensive review of different data classification techniques.