Support vector machine approach for fast classification

Abstract

In this study, we propose a new technique to integrate support vector machine and association rule mining in order to implement a fast and efficient classification algorithm that overcomes the drawbacks of machine learning and association rule-based classification algorithms. The reported test results demonstrate the applicability, efficiency and effectiveness of the proposed approach. © Springer-Verlag Berlin Heidelberg 2006.