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Volumn 1094, Issue , 1996, Pages 124-133

Speeding up knowledge discovery in large relational databases by means of a new discretization algorithm

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES;

EID: 84948163365     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61442-7_8     Document Type: Conference Paper
Times cited : (9)

References (15)
  • 2
    • 37749034335 scopus 로고    scopus 로고
    • On changing continuous attributes into ordered discrete attributes
    • LNAI-482, [Catlett 91a]
    • [Catlett 91a] J. Catlett On changing continuous attributes into ordered discrete attributes. Proc. European Working Session on Learning (EWSL-91). LNAI-482, 164-178.
    • Proc. European Working Session on Learning (EWSL-91) , pp. 164-178
    • Catlett, J.1
  • 6
    • 0024073536 scopus 로고    scopus 로고
    • Statistical profile estimation in database systems
    • Sep. 88, [Mannino et al. 88]
    • [Mannino et al. 88] M.V. Mannino, P. Chu and T. Sager. Statistical profile estimation in database systems. ACM Computing Surveys, 20(3), Sep./88,191-221.
    • ACM Computing Surveys , vol.20 , Issue.3 , pp. 191-221
    • Mannino, M.V.1    Chu, P.2    Sager, T.3
  • 8
    • 84948993846 scopus 로고
    • The effect of numeric features on the scalability of inductive learning programs
    • LNAI-912, [Paliouras & Bree 95]
    • [Paliouras & Bree 95] G. Paliouras and D.S. Bree. The effect of numeric features on the scalability of inductive learning programs. Proc. 8th European Conf. Machine Learning (ECML-95). LNAI-912, 218-231.1995.
    • (1995) Proc. 8th European Conf. Machine Learning (ECML-95) , pp. 218-231
    • Paliouras, G.1    Bree, D.S.2
  • 12
    • 0141771872 scopus 로고    scopus 로고
    • Class-driven statistical discretization of continuous attributes
    • (Extended Abstract) LNAI-912, [Richeldi & Rossotto 95]
    • [Richeldi & Rossotto 95] M. Richeldi and M. Rossotto. Class-driven statistical discretization of continuous attributes. (Extended Abstract) Proc. 8th European Conf. Machine Learning (ECML-95). LNAI-912, 335-338.
    • Proc. 8th European Conf. Machine Learning (ECML-95) , pp. 335-338
    • Richeldi, M.1    Rossotto, M.2
  • 13
    • 84983750945 scopus 로고
    • A conservation law for generalization performance
    • [Schaffer 94]
    • [Schaffer 94] C. Schaffer. A conservation law for generalization performance. Proc. 11th Int. Conf. Machine Learning, 259-265.1994
    • (1994) Proc. 11th Int. Conf. Machine Learning , pp. 259-265
    • Schaffer, C.1
  • 14
    • 0002947110 scopus 로고
    • Rule induction using information theory
    • G. Piatetsky-Shapiro and WJ. Frawley. (Eds.) Menlo Park, CA: AAAI Press, [Smyth & Goodman 91]
    • [Smyth & Goodman 91] P. Smyth and R.M. Goodman. Rule induction using information theory. In G. Piatetsky-Shapiro and WJ. Frawley. (Eds.) Knowledge Discovery in Databases. Menlo Park, CA: AAAI Press, 1991.
    • (1991) Knowledge Discovery in Databases
    • Smyth, P.1    Goodman, R.M.2
  • 15
    • 55849114358 scopus 로고
    • A parallel and distributed environment for database rule processing: Open problems and future directions
    • M. Abdelguerfi & S. Lavington. (Ed.) IEEE, [Stolfo et al. 95]
    • [Stolfo et al. 95] S.J. Stolfo, H.M. Dewan, D.Ohsie and M.Hemandez. A parallel and distributed environment for database rule processing: open problems and future directions. In: M. Abdelguerfi & S. Lavington. (Ed.) Emerging Trends in Database and Knowledge-Based Machine, 225-253. IEEE, 1995.
    • (1995) Emerging Trends in Database and Knowledge-Based Machine , pp. 225-253
    • Stolfo, S.J.1    Dewan, H.M.2    Ohsie, D.3    Hemandez, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.