Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Self-Organizing Maps
Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Very Large Two-Level SOM for the Browsing of Newsgroups
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Formal concept analysis and information systems modeling
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Exploiting noun phrases and semantic relationships for text document clustering
Information Sciences: an International Journal
Integrating all stages of information systems development by means of natural language processing
REFSQ'07 Proceedings of the 13th international working conference on Requirements engineering: foundation for software quality
A knowledge-based model using ontologies for personalized web information gathering
Web Intelligence and Agent Systems
Semantic search results clustering
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
An optimized k-means algorithm of reducing cluster intra-dissimilarity for document clustering
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Categorization of large text collections: feature selection for training neural networks
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Taxonomy induction using hierarchical random graphs
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Natural language processing and the conceptual model self-organizing map
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation
Journal of Database Management
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Document clustering is usually performed under the assumption that classification knowledge is unavailable; document classification, however, uses a classified data set for training. The supervised classification approach often achieves greater accuracy than the unsupervised clustering method. If the corpus of documents offers topical categorization, however, clustering can potentially exploit this domain knowledge by moving from an unsupervised to a partially supervised, guided self-organization. In this case, using a neural guided self-organizing network as a metaclassifier on category information offers the opportunity to exploit the domain knowledge. The authors introduce a novel combination of bottom-up dynamic neural learning with top-down symbolic WordNet processing. They show that the hypernym semantic relationship in WordNet complements the neural model, improving classification accuracy and clustering analysis.