Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Constant interaction-time scatter/gather browsing of very large document collections
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Websom for Textual Data Mining
Artificial Intelligence Review - Special issue on data mining on the Internet
Extracting meaningful labels for WEBSOM text archives
Proceedings of the tenth international conference on Information and knowledge management
Self-Organizing Maps
Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Self organization of a massive document collection
IEEE Transactions on Neural Networks
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The distinctive features of the Bveritas online news integration archive are as follows: 1) automatic clustering of related news documents into themes; 2) organization of these news clusters in a theme map; 3) extraction of meaningful labels for each news cluster; and 4) generation of links to related news articles. Several ways of retrieving news stories from this Bveritas archive are described. The retrieval methods range from the usual query box and links to related stories, to an interactive world map that allows news retrieval by country, to an interactive theme map. Query and browsing are mediated by a Scatter/Gather interface that allows the user to select interesting clusters, out of which the subset of documents are gathered and re-clustered for the user to visually inspect. The user is then asked to select new interesting clusters. This alternating selection/clustering process continues until the user decides to view the individual news story titles.