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Volumn 4, Issue 1, 2008, Pages 62-73

Medical document clustering using ontology-based term similarity measures

Author keywords

Data warehouse; Decision support systems DSS; Multidimensional query language; OLAP algebra

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; DATA WAREHOUSES; DECISION SUPPORT SYSTEMS; INFORMATION RETRIEVAL; ONTOLOGY; QUERY LANGUAGES; SEARCH ENGINES; SEMANTICS;

EID: 47349099902     PISSN: 15483924     EISSN: 15483932     Source Type: Journal    
DOI: 10.4018/jdwm.2008010104     Document Type: Article
Times cited : (25)

References (20)
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  • 8
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    • An approach for measuring Semantic similarity between words using multiple information sources
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    • Li, Y.1    Zuhair, A.2    McLean, D.3
  • 10
    • 0036356286 scopus 로고    scopus 로고
    • Free text medical document retrieval via phrased-based vector space model
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    • Mao, W.1    Chu, W.2
  • 12
    • 0002016474 scopus 로고    scopus 로고
    • Semantic Similarity in Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity and Natural Language
    • Resnik, O. (1999). Semantic Similarity in Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity and Natural Language. Journal of Artificial Intelligence Research, 11, 95-130.
    • (1999) Journal of Artificial Intelligence Research , vol.11 , pp. 95-130
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  • 14
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    • Semantic similarity methods in WordNet and their application to information retrieval on the Web
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    • Varelas, G., Voutsakis, E., Raftopoulou, P., Petrakis, E., & Milios, E. (2005). Semantic similarity methods in WordNet and their application to information retrieval on the Web. WIDM '05 (pp. 10-16). New York: ACM Press.
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    • Varelas, G.1    Voutsakis, E.2    Raftopoulou, P.3    Petrakis, E.4    Milios, E.5
  • 17
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    • Criterion functions for document clustering: Experiments and analysis
    • Technical Report, Department of Computer Science, University of Minnesota
    • Zhao, Y., & Karypis, G (2001). Criterion functions for document clustering: Experiments and analysis. Technical Report, Department of Computer Science, University of Minnesota.
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    • Zhao, Y.1    Karypis, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.