A Combined Approach of Formal Concept Analysis and Text Mining for Concept Based Document Clustering

Nowadays, the demand of conceptual document clustering is becoming increase to manage various types of vast amount of information published on the World Wide Web. In this paper, we use Formal Concept Analysis (FCA) method for clustering documents according to their formal contexts. Concept hierarchy...

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Bibliographic Details
Main Authors:	Myat, Nyeint Nyeint, Hla, Khin Haymar Saw
Format:	Conference Proceeding
Language:	English
Subjects:	association Clustering algorithms Computing methodologies > Machine learning > Learning paradigms > Unsupervised learning > Cluster analysis Computing methodologies > Machine learning > Machine learning approaches conceptual document clustering correlation formal concept analysis (FCA) Frequency frequent termsets Information retrieval Information systems > Information retrieval Information systems > Information storage systems Information systems > Information systems applications > Data mining Itemsets Organizing Partitioning algorithms Publishing Search engines Text mining Web sites
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