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Volumn 3430 LNAI, Issue , 2005, Pages 174-189

Investigation of rule interestingness in medical data mining

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; HUMAN COMPUTER INTERACTION; LOGIC PROGRAMMING; MEDICAL APPLICATIONS; PERFORMANCE; USER INTERFACES;

EID: 26844458786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11423270_10     Document Type: Conference Paper
Times cited : (11)

References (40)
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    • (1991) Knowledge Discovery in Databases , pp. 159-176
    • Smyth, P.1    Goodman, R.M.2
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    • Estimating DBLearn's potential for knowledge discovery in databases
    • Hamilton, H. J., Fudger, D. F.: Estimating DBLearn's Potential for Knowledge Discovery in Databases. Computational Intelligence, 11, 2 (1995) 280-296
    • (1995) Computational Intelligence , vol.11 , Issue.2 , pp. 280-296
    • Hamilton, H.J.1    Fudger, D.F.2
  • 21
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    • On rule interestingness measures
    • Freitas, A. A.: On Rule Interestingness Measures. Knowledge-Based Systems, vol.12, no.5 and 6 (1999) 309-315
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    • (2000) Intelligent Systems , vol.15 , Issue.5 , pp. 47-55
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    • Data mining from clinical data using interactive evolutionary computation
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    • Terano, T., Inada, M.: Data Mining from Clinical Data using Interactive Evolutionary Computation, in Ghosh, A., Tsutsui, S. (eds.): Advances in Evolutionary Computing. Springer (2003) 847-862
    • (2003) Advances in Evolutionary Computing , pp. 847-862
    • Terano, T.1    Inada, M.2
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    • in Japanese
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.