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Volumn 2281, Issue , 2002, Pages 504-517

In pursuit of interesting patterns with undirected discovery of exception rules

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 33846434786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45884-0_38     Document Type: Article
Times cited : (7)

References (25)
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    • Transforming rules and trees
    • AAAI/MIT Press, Menlo Park, Calif.
    • B. R. Gaines: "Transforming Rules and Trees", Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, Menlo Park, Calif., pp. 205-226, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 205-226
    • Gaines, B.R.1
  • 7
    • 0033333282 scopus 로고    scopus 로고
    • Finding interesting patterns using user expectations
    • B. Liu, W. Hsu, L. Mun, and H. Lee: "Finding Interesting Patterns Using User Expectations", IEEE Trans. Knowledge and Data Eng., Vol. 11, No. 6, pp. 817-832, 1999.
    • (1999) IEEE Trans. Knowledge and Data Eng. , vol.11 , Issue.6 , pp. 817-832
    • Liu, B.1    Hsu, W.2    Mun, L.3    Lee, H.4
  • 9
    • 0003408496 scopus 로고    scopus 로고
    • Dept. of Information and Computer Sci., Univ. of California Irvine
    • C. J. Merz and P. M. Murphy: "UCI Repository of Machine Learning Databases", http://www.ics.uci.edu/~mlearn/MLRepository.html, Dept. of Information and Computer Sci., Univ. of California Irvine, 1996.
    • (1996) UCI Repository of Machine Learning Databases
    • Merz, C.J.1    Murphy, P.M.2
  • 11
    • 0030380606 scopus 로고    scopus 로고
    • What makes patterns interesting in knowledge discovery systems
    • A. Silberschatz and A. Tuzhilin: "What Makes Patterns Interesting in Knowledge Discovery Systems", IEEE Trans. Knowledge and Data Eng., Vol. 8, No. 6, pp. 970-974, 1996.
    • (1996) IEEE Trans. Knowledge and Data Eng. , vol.8 , Issue.6 , pp. 970-974
    • Silberschatz, A.1    Tuzhilin, A.2
  • 12
    • 0026902042 scopus 로고
    • An information theoretic approach to rule induction from databases
    • P. Smyth and R. M. Goodman, "An Information Theoretic Approach to Rule Induction from Databases", IEEE Trans. Knowledge and Data Eng., Vol. 4, No. 4, pp. 301-316, 1992.
    • (1992) IEEE Trans. Knowledge and Data Eng. , vol.4 , Issue.4 , pp. 301-316
    • Smyth, P.1    Goodman, R.M.2
  • 14
    • 33746832799 scopus 로고    scopus 로고
    • Instance selection based on support vector machine for knowledge discovery in medical database
    • Kluwer, Norwell, Mass.
    • S. Sugaya, E. Suzuki, and S. Tsumoto: "Instance Selection Based on Support Vector Machine for Knowledge Discovery in Medical Database", Instance Selection and Construction for Data Mining, pp. 395-412, Kluwer, Norwell, Mass., 2001.
    • (2001) Instance Selection and Construction for Data Mining , pp. 395-412
    • Sugaya, S.1    Suzuki, E.2    Tsumoto, S.3
  • 18
    • 84957811911 scopus 로고    scopus 로고
    • Scheduled discovery of exception rules
    • LNAI 1721, Springer
    • E. Suzuki: "Scheduled Discovery of Exception Rules", Discovery Science (DS), LNAI 1721, Springer, pp. 184-195, 1999.
    • (1999) Discovery Science (DS) , pp. 184-195
    • Suzuki, E.1
  • 19
    • 33645800278 scopus 로고    scopus 로고
    • Evaluating hypothesis-driven exception-rule discovery with medical data sets
    • LNAI 1805, Springer
    • E. Suzuki and S. Tsumoto: "Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets", Knowledge Discovery and Data Mining (PAKDD), LNAI 1805, Springer, pp. 208-211, 2000.
    • Knowledge Discovery and Data Mining (PAKDD) , vol.2000 , pp. 208-211
    • Suzuki, E.1    Tsumoto, S.2
  • 23
    • 84974686463 scopus 로고    scopus 로고
    • Issues in organizing a successful knowledge discovery contest
    • LNAI 1967, Springer
    • E. Suzuki: "Issues in Organizing a Successful Knowledge Discovery Contest", Discovery Science (DS), LNAI 1967, Springer, pp. 282-284, 2000.
    • (2000) Discovery Science (DS) , pp. 282-284
    • Suzuki, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.