Knowledge Discovery Using Neural Networks
Date
2004-05
Authors
Kaikhah, Khosrow
Doddameti, Sandesh
Journal Title
Journal ISSN
Volume Title
Publisher
Springer, Berlin, Heidelberg
Abstract
A 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.
Description
Keywords
layer neuron, rule extraction, hide layer neuron, neural networks, hide layer, Computer Science
Citation
Kaikhah, K. & Doddameti, S. (2004). Knowledge discovery using neural networks. Proceedings of the 17th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, pp. 20-28.