Discovering Trends in Large Datasets Using Neural Networks
Date
2006-02-01
Authors
Kaikhah, Khosrow
Doddameti, Sandesh
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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 (murder, rape, robbery, and auto theft) in US cities as well as to predict trends based on existing knowledge inherent in the network.
Description
Keywords
large datasets, neural networks, knowledge discovery, Computer Science
Citation
Kaikhah, K. & Doddameti, S. (2006). Discovering trends in large datasets using neural networks. Applied Intelligence, 24(1), pp. 51-60.