Integrated Approach for Data Mining Based on Case-Based Reasoning and Neural Networks

The article discusses the possibilities of implementing a system for data mining (DM), which integrates Case-Based Reasoning (CBR) and artificial neural network (ANN). Currently, CBR-methods are widely used to solve various DM problems based on the accumulated experience and the ANN is used as an approximator for solving various applied problems. For ANN, an important condition for the success of solving the DM problem is the quality (correctness) of the training dataset. However, this condition is not always feasible, as well as the small size of the training set.