메뉴 건너뛰기




Volumn 3339, Issue , 2004, Pages 538-549

Using classification to evaluate the output of confidence-based association rule mining

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; INFORMATION THEORY; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS;

EID: 22944478345     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_47     Document Type: Conference Paper
Times cited : (38)

References (12)
  • 4
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous-valued attributes for classification learning
    • Morgan Kaufmann
    • Fayyad U. and Irani K. Multi-interval discretization of continuous-valued attributes for classification learning. In Proc. of the 13th Int. Joint Conf. on Artificial Intelligence, pages 1022-1027. Morgan Kaufmann, 1993.
    • (1993) Proc. of the 13th Int. Joint Conf. on Artificial Intelligence , pp. 1022-1027
    • Fayyad, U.1    Irani, K.2
  • 5
    • 0002129041 scopus 로고    scopus 로고
    • Generating accurate rule sets without global optimization
    • Morgan Kaufmann
    • Frank E. and Witten I. Generating Accurate Rule Sets Without Global Optimization. In Machine Learning: Proc. of the 15th Int. Conf., pages 152-160. Morgan Kaufmann, 1998.
    • (1998) Machine Learning: Proc. of the 15th Int. Conf. , pp. 152-160
    • Frank, E.1    Witten, I.2
  • 9
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • Salzberg S. On Comparing Classifiers : Pitfalls to Avoid and a Recommended Approach. Data Mining and Knowledge Discovery, 1(3):317-327, 1997.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , Issue.3 , pp. 317-327
    • Salzberg, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.