Design And Implementation Of Data Mining System Based On J2EE

In this thesis, a multi-layer data mining prototype system based on the popular J2EE framework is introduced. The prototype is visually modeled using UML object-oriented technology of Rational Company. The client application of data mining is developed conveniently using Java Web Start technology. The reliability, reusability and maintainability of the system are enhanced because of above technologies. In the data mining prototype system, Apriori algorithm of association rules mining, ID3 algorithm of decision tree classification, C4. 5 pessimism estimate algorithm of decision tree classification and C4. 5 reduced-error pruning algorithm of decision tree classification are realized. This thesis provides a valued sample for developing other data mining application systems.