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Volumn 4081 LNCS, Issue , 2006, Pages 363-373

Learning classifiers from distributed, ontology-extended data sources

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER SUPPORTED COOPERATIVE WORK; DATA REDUCTION; DATA STRUCTURES; DISTRIBUTED COMPUTER SYSTEMS; HIERARCHICAL SYSTEMS;

EID: 33751377738     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11823728_35     Document Type: Conference Paper
Times cited : (1)

References (12)
  • 3
    • 19544373409 scopus 로고    scopus 로고
    • A framework for learning from distributed data using sufficient statistics and its application to learning decision trees
    • Caragea, D., Silvescu, A., Honavar, V.: A framework for learning from distributed data using sufficient statistics and its application to learning decision trees. International Journal of Hybrid Intelligent Systems 1 (2004)
    • (2004) International Journal of Hybrid Intelligent Systems , vol.1
    • Caragea, D.1    Silvescu, A.2    Honavar, V.3
  • 7
    • 0032202014 scopus 로고    scopus 로고
    • Efficient noise-tolerant learning from statistical queries
    • Kearns, M.: Efficient noise-tolerant learning from statistical queries. Journal of the ACM 45 (1998) 983-1006
    • (1998) Journal of the ACM , vol.45 , pp. 983-1006
    • Kearns, M.1
  • 8
    • 19544364846 scopus 로고    scopus 로고
    • AVT-NBL: An algorithm for learning compact and accurate naive bayes classifiers from attribute value taxonomies and data
    • Brighton, UK
    • Zhang, J., Honavar, V.: AVT-NBL: An algorithm for learning compact and accurate naive bayes classifiers from attribute value taxonomies and data. In: Proceedings of the Fourth IEEE International Conference on Data Mining, Brighton, UK (2004)
    • (2004) Proceedings of the Fourth IEEE International Conference on Data Mining
    • Zhang, J.1    Honavar, V.2
  • 12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.