DocumentCode :
2386832
Title :
Concept Mining Using Association Rule and Combinatorial Topology
Author :
Sutojo, Albert
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
341
Lastpage :
341
Abstract :
The collection of concepts in a document set can be represented by a geometric structure called simplicial complex of combinatorial topology where each keyword is represented as a vertex and the relation between keywords as simplex. A simplex which consists of more than one keyword is a high-frequency keywordset. These keywords occur close to each other within a document which also occur frequently within a set of documents. The high frequent occurrence of these keywords shows relations between keywords. These relations carry concepts. The relations of these keywords can be captured by association rule mining and represented as simplices. The collection of all these simplices, represents the structure of concepts within a document set.
Keywords :
combinatorial mathematics; data mining; association rule mining; combinatorial topology; concept mining; document set; geometric structure; high-frequency keywordset; keyword representation; simplicial complex; Association rules; Data mining; Databases; Frequency measurement; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
Type :
conf
DOI :
10.1109/GrC.2007.135
Filename :
4403121
Link To Document :
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