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Volumn , Issue , 2007, Pages 962-969

A new ILP-based concept discovery method for business intelligence

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; DATA HANDLING; DECISION SUPPORT SYSTEMS; INDUSTRIAL MANAGEMENT; INFORMATION MANAGEMENT; LEARNING SYSTEMS; PROBLEM SOLVING; SEARCH ENGINES; SPECIFICATIONS; TECHNOLOGY;

EID: 48349115089     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2007.4401092     Document Type: Conference Paper
Times cited : (4)

References (20)
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    • S. Džeroski and N. Lavrač, editors, Springer-Verlag, September
    • L. Dehaspe and H. Toivonen. Discovery of relational association rules. In S. Džeroski and N. Lavrač, editors, Relational Data Mining, pages 189-212. Springer-Verlag, September 2001.
    • (2001) Relational Data Mining , pp. 189-212
    • Dehaspe, L.1    Toivonen, H.2
  • 5
    • 19544385737 scopus 로고    scopus 로고
    • Prospects and challenges for multi-relational data mining
    • P. Domingos. Prospects and challenges for multi-relational data mining. SIGKDD Explorations, 5:80-81, 2003.
    • (2003) SIGKDD Explorations , vol.5 , pp. 80-81
    • Domingos, P.1
  • 6
    • 6344279447 scopus 로고    scopus 로고
    • Multi-relational data mining: An introduction
    • S. Džeroski. Multi-relational data mining: an introduction. SIGKDD Explorations, 5(1):1-16, 2003.
    • (2003) SIGKDD Explorations , vol.5 , Issue.1 , pp. 1-16
    • Džeroski, S.1
  • 7
    • 48349136956 scopus 로고    scopus 로고
    • P. A. Flach and N. Lavrač. The role of feature construction in inductive rule learning. In Proceedings of the ICML2000 workshop on Attribute-Value and Relutional Learning: crossing the boundaries, pages 1-11. 17th International Conference on Machine Learning. July 2000.
    • P. A. Flach and N. Lavrač. The role of feature construction in inductive rule learning. In Proceedings of the ICML2000 workshop on Attribute-Value and Relutional Learning: crossing the boundaries, pages 1-11. 17th International Conference on Machine Learning. July 2000.
  • 8
    • 48349115752 scopus 로고    scopus 로고
    • O. U. C. Laboratory. Predicting carcinogenecity, http://web.comlab.ox.ac. uk/oucl/research/areas/machlearn/cancer.html, Last Updated on November 1999.
    • O. U. C. Laboratory. Predicting carcinogenecity, http://web.comlab.ox.ac. uk/oucl/research/areas/machlearn/cancer.html, Last Updated on November 1999.
  • 15
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • J. R. Quintan. Learning logical definitions from relations. Mach. Learn., 5(3):239-266, 1990.
    • (1990) Mach. Learn , vol.5 , Issue.3 , pp. 239-266
    • Quintan, J.R.1
  • 16
    • 0010220783 scopus 로고
    • Learning concepts by asking questions
    • R. Michalski, J. Carbonell, and T. Mitchell, editors, Morgan Kaufmann
    • C. Sammut and R. Banerji. Learning concepts by asking questions. In R. Michalski, J. Carbonell, and T. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach, Volume 2, pages 167-191. Morgan Kaufmann, 1986.
    • (1986) Machine Learning: An Artificial Intelligence Approach , vol.2 , pp. 167-191
    • Sammut, C.1    Banerji, R.2
  • 19
    • 0025266201 scopus 로고
    • Prediction of the outcome of rodent carcinogenicity bioassays currently being conducted on 44 chemicals by the national toxicology program
    • R. Tennant, J. Spalding, S. Stasiewicz, and J. Ashby. Prediction of the outcome of rodent carcinogenicity bioassays currently being conducted on 44 chemicals by the national toxicology program. Mutagenesis, 5:3-14, 1990.
    • (1990) Mutagenesis , vol.5 , pp. 3-14
    • Tennant, R.1    Spalding, J.2    Stasiewicz, S.3    Ashby, J.4
  • 20
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    • I. Witten and et. al. Weka: Practical machine learning tools and techniques with java implementations. In Proc. ICONIP/ANZIIS/ANNES'99 International Workshop: Emerging Knowledge Engineering and Connectionist-Based Information Systems, pages 192-196, Dunedin, NZ, 1999.
    • I. Witten and et. al. Weka: Practical machine learning tools and techniques with java implementations. In Proc. ICONIP/ANZIIS/ANNES'99 International Workshop: Emerging Knowledge Engineering and Connectionist-Based Information Systems, pages 192-196, Dunedin, NZ, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.