Text analysis and knowledge mining system
IBM Systems Journal
Applying passage in Web text mining
International Journal of Intelligent Systems - Intelligent Technologies
Visual text mining using association rules
Computers and Graphics
Search Engines: Information Retrieval in Practice
Search Engines: Information Retrieval in Practice
Tagging: People-powered Metadata for the Social Web
Tagging: People-powered Metadata for the Social Web
Using ontologies to facilitate post-processing of association rules by domain experts
Information Sciences: an International Journal
Conceptual syntagmatic associations in user tagging
Journal of the American Society for Information Science and Technology
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This paper presents a study in progress on tag co-occurrence employing data mining algorithms. Based on the assumption that the tag terms occurring together are closely related with each other, the study intended to investigate the relationship of tag terms that appear together in a tag set. The association data mining rule was used to find the tag pairs that occur frequently together to identify those of relatively strong association. Analysis was followed to look at the semantic relations of the terms in the selected tag pairs. Preliminary data analysis found that the two tag terms appearing together with stronger association tended to be related syntagmatically with each other (i.e., they were from different concepts of terms that related to the context of use) rather than conceptually similar terms in taxonomic relations.