메뉴 건너뛰기




Volumn 129, Issue , 2005, Pages 103-112

Relational data mining and GUHA

Author keywords

[No Author keywords available]

Indexed keywords

GUHA METHOD; HEURISTIC APPROACH; RELATIONAL DATA MINING;

EID: 84868712352     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (18)
  • 2
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • Fayyad, U.M. et al. AAAI Press / MIT Press
    • Aggraval, R. et al. Fast Discovery of Association Rules. In Fayyad, U.M. et al. Advances in Knowledge Discovery and Data Mining, pp. 307-328, AAAI Press / MIT Press, 1996
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Aggraval, R.1
  • 4
    • 9144229595 scopus 로고    scopus 로고
    • Academic KDD project LISp-miner
    • Abraham, A. - Franke, K. - Köppen, M. (eds.) ISBN 3-540-40426-0, Springer-Verlag
    • Šimůnek, M.: Academic KDD Project LISp-Miner. In Abraham, A. - Franke, K. - Köppen, M. (eds.): Intelligent Systems Desing and Applications (Advances in Soft Computing series), ISBN 3-540-40426-0, Springer-Verlag, 2003, pp. 263-272
    • (2003) Intelligent Systems Desing and Applications (Advances in Soft Computing Series) , pp. 263-272
    • Šimůnek, M.1
  • 6
    • 9144232032 scopus 로고    scopus 로고
    • Interesting association rules and multi-relational association rules
    • Taiwan May
    • Rauch, J.: Interesting Association Rules and Multi-relational Association Rules. In Communications of Institute of Information and Computing Machinery, Taiwan, Vol. 5, No. 2, May 2002, pp. 77-82
    • (2002) Communications of Institute of Information and Computing Machinery , vol.5 , Issue.2 , pp. 77-82
    • Rauch, J.1
  • 7
    • 33845331651 scopus 로고    scopus 로고
    • An alternative approach to mining association rules
    • Lin, T.Y. -Ohsuga, S. - Liau, C.J. - Tsumoto, S. (eds.) Springer-Verlag
    • Rauch J. - Šimůnek, M.: An Alternative Approach to Mining Association Rules. In Lin, T.Y. -Ohsuga, S. - Liau, C.J. - Tsumoto, S. (eds.): Data Mining: Foundations, Methods, and Applications, Springer-Verlag, 2005
    • (2005) Data Mining: Foundations, Methods, and Applications
    • Rauch, J.1    Šimůnek, M.2
  • 8
    • 33845319158 scopus 로고    scopus 로고
    • Mining for patterns based on contingency tables by KL-miner - First experience
    • Lin, T.Y. - Ohsuga, S. - Liau, C.J. - Hu, X. (eds.) Springer-Verlag
    • Rauch, J. - Šimünek, M. - Lín, V: Mining for Patterns Based on Contingency Tables by KL-Miner - First Experience. In Lin, T.Y. - Ohsuga, S. - Liau, C.J. - Hu, X. (eds.): Foundations and Novel Approaches in Data Mining, Springer-Verlag, 2005
    • (2005) Foundations and Novel Approaches in Data Mining
    • Rauch, J.1    Šimünek, M.2    Lín, V.3
  • 9
    • 84868690857 scopus 로고    scopus 로고
    • Reporting data mining results in a natural language
    • Lin, T.Y. - Ohsuga, S. - Liau, C.J. - Tsumoto, S. (eds.) Springer-Verlag
    • Strossa, P. - Černý, Z. - Rauch, J.: Reporting Data Mining Results in a Natural Language. In Lin, T.Y. - Ohsuga, S. - Liau, C.J. - Tsumoto, S. (eds.): Data Mining: Foundations, Methods, and Applications, Springer-Verlag, 2005
    • (2005) Data Mining: Foundations, Methods, and Applications
    • Strossa, P.1    Černý, Z.2    Rauch, J.3
  • 11
    • 6344279447 scopus 로고    scopus 로고
    • Multi-relational data mining: An introduction
    • Džeroski, S.: Multi-Relational Data Mining: An Introduction. In ACM SIGKDD Explorations Newsletter, Vol. 5, Issue 1, 2003, pp. 1-16
    • (2003) ACM SIGKDD Explorations Newsletter , vol.5 , Issue.1 , pp. 1-16
    • Džeroski, S.1
  • 16
    • 24044515077 scopus 로고    scopus 로고
    • Scalability and efficiency in multi-relational data mining
    • Blockeel, H. - Sebag, M.: Scalability and Efficiency in Multi-Relational Data Mining. In ACM SIGKDD Explorations Newsletter, Vol. 5, Issue 1, 2003, pp. 17-30
    • (2003) ACM SIGKDD Explorations Newsletter , vol.5 , Issue.1 , pp. 17-30
    • Blockeel, H.1    Sebag, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.