A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Concept decompositions for large sparse text data using clustering
Machine Learning
Providing VANET security through active position detection
Computer Communications
An E-collaborative learning environment based on dynamic workflow system
ITHET'10 Proceedings of the 9th international conference on Information technology based higher education and training
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Development of algorithms for automated text categorization in massive text document sets is an important research area of data mining and knowledge discovery. Most of the text-clustering methods were grounded in the term-based measurement of distance or similarity, ignoring the structure of terms in documents. In this paper we present a novel method named Structured Cosine Similarity that furnishes document clustering with a new way of modeling on document summarization, considering the structure of terms in documents in order to improve the quality of speech document clustering.