메뉴 건너뛰기




Volumn 4585 LNAI, Issue , 2007, Pages 12-21

Mining numerical data - A rough set approach

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; NUMERICAL METHODS; ROUGH SET THEORY;

EID: 38049026334     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73451-2_3     Document Type: Conference Paper
Times cited : (11)

References (30)
  • 5
    • 37749034335 scopus 로고
    • On changing continuous attributes into ordered discrete attributes
    • EWSL-91, Proc. of the European Working Session on Learning, Porto, Portugal, March, Springer, Berlin
    • Catlett, J.: On changing continuous attributes into ordered discrete attributes. In: EWSL-91, Proc. of the European Working Session on Learning, Porto, Portugal, March 1991. LNCS (LNAI), pp. 164-178. Springer, Berlin (1991)
    • (1991) LNCS (LNAI , pp. 164-178
    • Catlett, J.1
  • 6
    • 0026406067 scopus 로고
    • Determination of quantization intervals in rule based model for dynamic systems
    • Man, and Cybernetics, Charlottesville, VA
    • Chan, C.C., Batur, C., Srinivasan, A.: Determination of quantization intervals in rule based model for dynamic systems. In: Proc. of the IEEE Conference on Systems, Man, and Cybernetics, Charlottesville, VA, 1991, pp. 1719-1723 (1991)
    • (1991) Proc. of the IEEE Conference on Systems , pp. 1719-1723
    • Chan, C.C.1    Batur, C.2    Srinivasan, A.3
  • 7
    • 38049079581 scopus 로고    scopus 로고
    • Chan, C.C., Grzymala-Busse, J.W.: On the attribute redundancy and the learning programs ID3, PRISM, and LEM2. Department of Computer Science, University of Kansas, TR-91-14, December 1991, p. 20 (1991)
    • Chan, C.C., Grzymala-Busse, J.W.: On the attribute redundancy and the learning programs ID3, PRISM, and LEM2. Department of Computer Science, University of Kansas, TR-91-14, December 1991, p. 20 (1991)
  • 8
    • 0000864105 scopus 로고    scopus 로고
    • Global discretization of continuous attributes as preprocessing for machine learning
    • Chmielewski, M.R., Grzymala-Busse, J. W.: Global discretization of continuous attributes as preprocessing for machine learning. Int. Journal of Approximate Reasoning 15, 319-331 (1996)
    • (1996) Int. Journal of Approximate Reasoning , vol.15 , pp. 319-331
    • Chmielewski, M.R.1    Grzymala-Busse, J.W.2
  • 9
    • 85139983802 scopus 로고
    • Supervised and unsupervised discretization of continuous features
    • Tahoe City, CA, July 9-12
    • Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: Proc of the 12-th Int. Conf. on Machine Learning, Tahoe City, CA, July 9-12, 1995, pp. 194-202 (1995)
    • (1995) Proc of the 12-th Int. Conf. on Machine Learning , pp. 194-202
    • Dougherty, J.1    Kohavi, R.2    Sahami, M.3
  • 10
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous-valued attributes for classification learning
    • Chambery, France
    • Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proc. of the 13th Int. Joint Conference on AI, Chambery, France, 1993, pp. 1022-1027 (1993)
    • (1993) Proc. of the 13th Int. Joint Conference on AI , pp. 1022-1027
    • Fayyad, U.M.1    Irani, K.B.2
  • 11
    • 38049030030 scopus 로고    scopus 로고
    • Grzymala-Busse, J.W.: LERS-A system for learning from examples based on rough sets. In: Slowinski, R. (ed.) Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory, pp. 3-18. Kluwer Academic Publishers, Dordrecht (1992)
    • Grzymala-Busse, J.W.: LERS-A system for learning from examples based on rough sets. In: Slowinski, R. (ed.) Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory, pp. 3-18. Kluwer Academic Publishers, Dordrecht (1992)
  • 12
    • 0031189666 scopus 로고    scopus 로고
    • A new version of the rule induction system LERS
    • Grzymala-Busse, J.W.: A new version of the rule induction system LERS. Fundamenta Informaticae 31, 27-39 (1997)
    • (1997) Fundamenta Informaticae , vol.31 , pp. 27-39
    • Grzymala-Busse, J.W.1
  • 13
    • 18944389149 scopus 로고    scopus 로고
    • Discretization of numerical attributes
    • Klösgen, W, Zytkow, J, eds, Oxford University Press, New York
    • Grzymala-Busse, J.W.: Discretization of numerical attributes. In: Klösgen, W., Zytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 218-225. Oxford University Press, New York (2002)
    • (2002) Handbook of Data Mining and Knowledge Discovery , pp. 218-225
    • Grzymala-Busse, J.W.1
  • 15
    • 18944377438 scopus 로고    scopus 로고
    • Grzymala-Busse, J.W.: A comparison of three strategies to rule induction from data with numerical attributes. In: Proc. of the Int. Workshop on Rough Sets in Knowledge Discovery (RSKD 2003), in conjunction with the European Joint Conferences on Theory and Practice of Software, Warsaw, 2003, pp. 132-140 (2003)
    • Grzymala-Busse, J.W.: A comparison of three strategies to rule induction from data with numerical attributes. In: Proc. of the Int. Workshop on Rough Sets in Knowledge Discovery (RSKD 2003), in conjunction with the European Joint Conferences on Theory and Practice of Software, Warsaw, 2003, pp. 132-140 (2003)
  • 16
    • 38049024352 scopus 로고    scopus 로고
    • Grzymala-Busse, J. W.: Rough set strategies to data with missing attribute values. Workshop Notes, Foundations and New Directions of Data Mining. In: conjunction with the 3-rd International Conference on Data Mining, Melbourne, FL, 2003, pp. 56-63 (2003)
    • Grzymala-Busse, J. W.: Rough set strategies to data with missing attribute values. Workshop Notes, Foundations and New Directions of Data Mining. In: conjunction with the 3-rd International Conference on Data Mining, Melbourne, FL, 2003, pp. 56-63 (2003)
  • 17
    • 35048890498 scopus 로고    scopus 로고
    • Data with missing attribute values: Generalization of idiscemibility relation and rule induction
    • Transactions on Rough Sets, Springer, Heidelberg
    • Grzymala-Busse, J.W.: Data with missing attribute values: Generalization of idiscemibility relation and rule induction. In: Transactions on Rough Sets. Lecture Notes in Computer Science Journal Subline, vol. 1, pp. 78-95. Springer, Heidelberg (2004)
    • (2004) Lecture Notes in Computer Science Journal Subline , vol.1 , pp. 78-95
    • Grzymala-Busse, J.W.1
  • 19
    • 0011770098 scopus 로고    scopus 로고
    • Discretization of numerical attributes by direct use of the rule induction algorithm LEM2 with interval extension
    • Zakopane, Poland
    • Grzymala-Busse, J.W., Stefanowski, J.: Discretization of numerical attributes by direct use of the rule induction algorithm LEM2 with interval extension. In: Proc. of the Sixth Symposium on Intelligent Information Systems (IIS'97), Zakopane, Poland, 1997, pp. 149-158 (1997)
    • (1997) Proc. of the Sixth Symposium on Intelligent Information Systems (IIS'97) , pp. 149-158
    • Grzymala-Busse, J.W.1    Stefanowski, J.2
  • 21
    • 0026995495 scopus 로고
    • ChiMerge: Discretization of numeric attributes
    • San Jose, CA
    • Kerber, R.: ChiMerge: Discretization of numeric attributes. In: Proc. of the 10th National Conf. on AI, San Jose, CA, 1992, pp. 123-128 (1992)
    • (1992) Proc. of the 10th National Conf. on AI , pp. 123-128
    • Kerber, R.1
  • 24
    • 0000518312 scopus 로고    scopus 로고
    • Discretization methods for data mining
    • Polkowski, L, Skowron, A, eds, Physica-Verlag, Heidelberg
    • Nguyen, H.S., Nguyen, S.H.: Discretization methods for data mining. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery, pp. 451-482. Physica-Verlag, Heidelberg (1998)
    • (1998) Rough Sets in Knowledge Discovery , pp. 451-482
    • Nguyen, H.S.1    Nguyen, S.H.2
  • 28
    • 38049095428 scopus 로고    scopus 로고
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA (1993)
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA (1993)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.