Knowledge Discovery Using Neural Networks

Simple item page
dc.contributor.authorKaikhah, Khosrow
dc.contributor.authorDoddameti, Sandesh
dc.date.accessioned2012-02-24T10:17:51Z
dc.date.available2012-02-24T10:17:51Z
dc.date.issued2004-05
dc.description.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.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent10 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationKaikhah, 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.
dc.identifier.doihttps://doi.org/10.1007/978-3-540-24677-0_3
dc.identifier.urihttps://hdl.handle.net/10877/3815
dc.language.isoen
dc.publisherSpringer, Berlin, Heidelberg
dc.sourceProceedings of the Seventeenth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, 2004, Ottawa, Canada.
dc.subjectlayer neuron
dc.subjectrule extraction
dc.subjecthide layer neuron
dc.subjectneural networks
dc.subjecthide layer
dc.subjectComputer Science
dc.titleKnowledge Discovery Using Neural Networks
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
fulltext.pdf
Size:
101.26 KB
Format:
Adobe Portable Document Format
Download

Collections

College of Science and Engineering