Knowledge Discovery Using Neural Networks

Abstract

AbstractA novel knowledge discovery technique using neural networks is presented. A neural network is trained to learn the correlations and relationships that exist in a dataset. The neural network is then pruned and modified to generalize the correlations and relationships. Finally, the neural network is used as a tool to discover all existing hidden trends in four different types of crimes in US cities as well as to predict trends based on existing knowledge inherent in the network.KeywordsNeural NetworkHide LayerLayer NeuronRule ExtractionHide Layer NeuronThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.