This paper proposes a framework to integrate classification
and association rule mining. An algorithm is presented to
generate all class association rules (CARs) and to build an
accurate classifier. The new framework not only gives a
new way to construct classifiers, but also helps to solve a
number of problems that exist in current classification
systems. In our future work, we will focus on building
more accurate classifiers by using more sophisticated
techniques and to mine CARs without pre-discretization.