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Volumn 3933 LNCS, Issue , 2006, Pages 72-85

Experiment databases: A novel methodology for experimental research

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SCIENCE; DATA MINING; LEARNING SYSTEMS; QUERY LANGUAGES;

EID: 33745780108     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11733492_5     Document Type: Conference Paper
Times cited : (16)

References (6)
  • 1
    • 2442458316 scopus 로고    scopus 로고
    • A perspective on inductive databases
    • L. De Raedt. A perspective on inductive databases. SIGKDD Explorations, 4(2):69-77, 2002.
    • (2002) SIGKDD Explorations , vol.4 , Issue.2 , pp. 69-77
    • De Raedt, L.1
  • 2
    • 0011177327 scopus 로고    scopus 로고
    • S. Džeroski and N. Lavrač, editors. Springer-Verlag
    • S. Džeroski and N. Lavrač, editors. Relational Data Mining. Springer-Verlag, 2001.
    • (2001) Relational Data Mining
  • 3
  • 4
    • 84949799605 scopus 로고    scopus 로고
    • Improved dataset characterisation for meta-learning
    • Proceedings of the 5th International Conference on Discovery Science. Springer-Verlag
    • Y. Peng, P. Flach, C. Soares, and P. Brazdil. Improved dataset characterisation for meta-learning. In Proceedings of the 5th International Conference on Discovery Science, volume 2534 of Lecture Notes in Computer Science, pages 141-152. Springer-Verlag, 2002.
    • (2002) Lecture Notes in Computer Science , vol.2534 , pp. 41-152
    • Peng, Y.1    Flach, P.2    Soares, C.3    Brazdil, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.