MYNDA: An IDSS generator with hyperheuristic attribute reduction

Development of a knowledge-based application is always hindered by the knowledge acquisition bottleneck. A knowledge-based application relies on a discovered knowledge to support the process of decision making. The knowledge model is not meaningful to the end user without the development of the DSS application of the knowledge model. MYNDA is developed as a web based data mining based DSS generator. The user will provides input data sets and set the mining technique profile. MYNDA will automatically develop the knowledge model and generate an executable data mining application. The data mining application can be run independently as a stand-alone application. MYNDA has reduced the complexity of the development of data mining based DSS.