Self-Organizing Maps
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
Query expansion in information retrieval systems using a Bayesian network-based thesaurus
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Map-Based recommendation of hyperlinked document collections
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
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SOM document-map based search engines require initial document clustering in order to present results in a meaningful way. This paper1 reports on our ongoing research in applications of Bayesian Networks for document map creation at various stages of document processing. Modifications are proposed to original algorithms based on our experience of superiority of crisp edge point between classes/groups of documents.