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Volumn , Issue , 2008, Pages 123-126

Clustering heterogeneous web data using clustering by compression. Cluster validity

Author keywords

Cluster validity; Clustering; Heterogeneous data

Indexed keywords

CLUSTER VALIDITY; CLUSTERING; CLUSTERING TECHNIQUES; COMPRESSION TECHNIQUES; DATA BASE; DATA FILES; HETEROGENEOUS DATA; HIGH QUALITY; NORMALIZED COMPRESSION DISTANCE; QUALITY INDICES; SIMILARITY DISTANCE; STRUCTURED INFORMATION; UNSTRUCTURED DATA; WEB DATA; WEB OBJECTS;

EID: 70449464780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYNASC.2008.64     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 1
    • 0033323923 scopus 로고    scopus 로고
    • Partitioning-based clustering for web document categorization
    • D. Boley, M. Gini, et al., Partitioning-based clustering for web document categorization, Decision Support Systems 27:329-341, 1999.
    • (1999) Decision Support Systems , vol.27 , pp. 329-341
    • Boley, D.1    Gini, M.2
  • 2
    • 0032268443 scopus 로고    scopus 로고
    • Web document clustering: A feasibility demonstration
    • O. Zamir and O. Etzioni, Web document clustering: A feasibility demonstration, Proceedings of SIGIR '98, pp. 46-53, 1998.
    • (1998) Proceedings of SIGIR '98 , pp. 46-53
    • Zamir, O.1    Etzioni, O.2
  • 3
    • 0003585297 scopus 로고    scopus 로고
    • J. Han and M. Kamber, editors. Morgan Kaufman
    • J. Han and M. Kamber, editors. Data Mining: Concepts and Techniques. Morgan Kaufman, 2001.
    • (2001) Data Mining: Concepts and Techniques
  • 9
    • 70449502835 scopus 로고    scopus 로고
    • Cambridge, MA, MIT Press
    • Systems 11 (NIPS), Cambridge, MA, MIT Press, 1999
    • (1999) Systems 11 (NIPS)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.