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Volumn 3977 LNCS, Issue , 2006, Pages 469-480

Transforming XML trees for efficient classification and clustering

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; INFORMATION ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; MANIPULATORS;

EID: 33746063253     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11766278_36     Document Type: Conference Paper
Times cited : (29)

References (12)
  • 2
    • 26944472379 scopus 로고    scopus 로고
    • SSC: Statistical subspace clustering
    • Perner, P., Imiya, A., eds.: 4th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM'2005) Leipzig, Germany, Springer Verlag
    • Candillier, L., Tellier, I., Torre, F., Bousquet, O.: SSC: Statistical Subspace Clustering. In Perner, P., Imiya, A., eds.: 4th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM'2005). Volume LNAI 3587 of LNCS., Leipzig, Germany, Springer Verlag (2005) 100-109
    • (2005) LNCS , vol.LNAI 3587 , pp. 100-109
    • Candillier, L.1    Tellier, I.2    Torre, F.3    Bousquet, O.4
  • 7
    • 35048867075 scopus 로고    scopus 로고
    • A tree-based approach to clustering XML documents by structure
    • Institute of Italian National Research Council, Rende, Italy (April)
    • Costa, G., Manco, G., Ortale, R., Tagarelli, A.: A tree-based approach to clustering XML documents by structure. Technical report, Institute of Italian National Research Council, Rende, Italy (April 2004)
    • (2004) Technical Report
    • Costa, G.1    Manco, G.2    Ortale, R.3    Tagarelli, A.4
  • 9
    • 77952397753 scopus 로고    scopus 로고
    • Xrules: An effective structural classifier for xml data
    • Washington, DC
    • Zaki, M.J., Aggarwal, C.C.: Xrules: An effective structural classifier for xml data. In: SIGKDD 03, Washington, DC (2003)
    • (2003) SIGKDD 03
    • Zaki, M.J.1    Aggarwal, C.C.2
  • 12
    • 26944503247 scopus 로고    scopus 로고
    • Clustering on unobserved data using mixture of gaussians
    • York University, Toronto, Canada (Oct.)
    • Ye, L., Spetsakis, M.: Clustering on unobserved data using mixture of gaussians. Technical report, York University, Toronto, Canada (Oct. 2003)
    • (2003) Technical Report
    • Ye, L.1    Spetsakis, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.