Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Hierarchical Document Clustering Based on Tolerance Rough Set Model
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Stemming Indonesian: A confix-stripping approach
ACM Transactions on Asian Language Information Processing (TALIP)
Introduction to Information Retrieval
Introduction to Information Retrieval
Automatic Ontology Constructor for Indonesian Language
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
Lexicon-based Document Representation
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
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We considered the tolerance matrix generated using tolerance rough set model as a kind of an associative thesaurus. The effectiveness of the thesaurus was measured using performance measures commonly used in information retrieval, recall and precision, where they were used for the terms rather than documents. A corpus consists of keywords defined as highly related with particular topic by human experts become the ground truth of this study. Analysis was conducted based on comparison values of all available sets created. Above all findings, this paper was thought as the fundamental basis that generating an automatic thesaurus using rough sets theory is a promising way. We also mentioned some directions for future study.