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Volumn 6, Issue 4, 2006, Pages 348-356

Towards the automation of intelligent data analysis

Author keywords

Automatic data analysis; Computing with words; Fuzzy ranking

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATION; INFORMATION RETRIEVAL SYSTEMS; PRODUCTION CONTROL;

EID: 33746263662     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2005.11.002     Document Type: Article
Times cited : (11)

References (12)
  • 1
    • 33746183926 scopus 로고    scopus 로고
    • A. Bernstein, S. Hill, F. Provost, Intelligent assistance for the data mining process: an ontology-based approach. CeDER Working Paper IS-02-02, Center for Digital Economy Research, Leonard Stern School of Business, New York University, New York, 2002.
  • 2
    • 33746214243 scopus 로고    scopus 로고
    • A. Bernstein, F. Provost. An intelligent assistant for the knowledge discovery process, CeDER Working Paper IS-01-01, Center for Digital Economy Research, Leonard Stern School of Business, New York University, New York, 2001.
  • 4
    • 11144272064 scopus 로고    scopus 로고
    • A Generic Datamining System. Basic Design and Implementation Guidelines
    • Kargupta H., and Chan P.K. (Eds), AAAI Press, New York
    • Botia J.A., Velasco J.R., Garijo M., and Skarmeta A.F.G. A Generic Datamining System. Basic Design and Implementation Guidelines. In: Kargupta H., and Chan P.K. (Eds). Workshop in Distributed Datamining at KDD-98 (1998), AAAI Press, New York
    • (1998) Workshop in Distributed Datamining at KDD-98
    • Botia, J.A.1    Velasco, J.R.2    Garijo, M.3    Skarmeta, A.F.G.4
  • 5
    • 0000543669 scopus 로고
    • The context model-an integrating view of vagueness and uncertainty
    • Gebhardt J., and Kruse R. The context model-an integrating view of vagueness and uncertainty. Intern. J. Approximate Reasoning 9 (1993) 283-314
    • (1993) Intern. J. Approximate Reasoning , vol.9 , pp. 283-314
    • Gebhardt, J.1    Kruse, R.2
  • 6
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • Nauck D., and Kruse R. A neuro-fuzzy method to learn fuzzy classification rules from data. FSS 89 3 (1997) 277-288
    • (1997) FSS , vol.89 , Issue.3 , pp. 277-288
    • Nauck, D.1    Kruse, R.2
  • 7
    • 0344152994 scopus 로고    scopus 로고
    • Spida-a novel data analysis tool
    • Nauck D., Spott M., and Azvine B. Spida-a novel data analysis tool. BT Technol. J. 21 4 (2003) 104-112
    • (2003) BT Technol. J. , vol.21 , Issue.4 , pp. 104-112
    • Nauck, D.1    Spott, M.2    Azvine, B.3
  • 9
    • 33746184844 scopus 로고    scopus 로고
    • M. Spott. Efficient reasoning with fuzzy words, in: S.K. Halgamuge, L. Wang (Eds.), Computational Intelligence for Modelling and Predictions, Springer Verlag, pp. 117-128 (Chapter 10).
  • 10
    • 23944454176 scopus 로고    scopus 로고
    • M. Spott, D. Nauck, On choosing an appropriate data analysis algorithm, in: Proceedings of the IEEE International Conference on Fuzzy Systems 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.