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Volumn 8, Issue 2-3, 2010, Pages 169-175

Visualizing search results and document collections using topic maps

Author keywords

Clustering; Dimensionality reduction; Topic modelling; Visualizing document collections

Indexed keywords

DIMENSIONALITY REDUCTION; DOCUMENT COLLECTION; SEARCH RESULTS; SEMANTIC CONTENT; SEMANTIC STRUCTURES; TOPIC MAPS; TOPIC MODEL; TWO-DIMENSIONAL MAP;

EID: 77955227428     PISSN: 15708268     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.websem.2010.03.005     Document Type: Article
Times cited : (51)

References (10)
  • 3
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • I.S. Dhillon, and D.S. Modha Concept decompositions for large sparse text data using clustering Machine Learning 42 1/2 2001 143 175
    • (2001) Machine Learning , vol.42 , Issue.1 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 7
    • 33847250940 scopus 로고    scopus 로고
    • Analyzing and visualizing the semantic coverage of wikipedia and its authors
    • T. Holloway, M. Bozicevic, and K. Börner Analyzing and visualizing the semantic coverage of wikipedia and its authors Complexity 12 3 2007 30 40
    • (2007) Complexity , vol.12 , Issue.3 , pp. 30-40
    • Holloway, T.1    Bozicevic, M.2    Börner, K.3
  • 8
    • 85006124741 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. Lee, H.S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature, 401.
    • Nature , pp. 401
    • Lee, D.1    Seung, H.S.2
  • 9
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis, and L. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 5500 2000 2323 2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 10
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • R. Weber, H.-J. Schek, and S. Blott A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces VLDB'98: Proceedings of the 24rd International Conference on Very Large Data Bases 1998 Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • (1998) VLDB'98: Proceedings of the 24rd International Conference on Very Large Data Bases
    • Weber, R.1    Schek, H.-J.2    Blott, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.