메뉴 건너뛰기




Volumn 5650 LNAI, Issue , 2009, Pages 135-149

The good, the bad and the incorrectly classified: Profiling cases for case-base editing

Author keywords

[No Author keywords available]

Indexed keywords

CASE-BASED APPROACH; CLASSIFICATION ,; GENERALISATION; INSTANCE-BASED LEARNING TECHNIQUES; NOISE REDUCTION ALGORITHMS; TRAINING EXAMPLE;

EID: 70350350699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02998-1_11     Document Type: Conference Paper
Times cited : (14)

References (25)
  • 2
    • 35048899801 scopus 로고    scopus 로고
    • An analysis of case-based editing in a spam filtering system
    • Funk, P, González-Calero, P, eds, ECCBR 2004, Springer, Heidelberg
    • Delany, S.J., Cunningham, P.: An analysis of case-based editing in a spam filtering system. In: Funk, P., González-Calero, P. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 128-141. Springer, Heidelberg (2004)
    • (2004) LNCS (LNAI , vol.3155 , pp. 128-141
    • Delany, S.J.1    Cunningham, P.2
  • 3
    • 0036104537 scopus 로고    scopus 로고
    • Advances in instance selection for instance-based learning algorithms
    • Brighton, H., Mellish, C.: Advances in instance selection for instance-based learning algorithms. Data Mining and Knowledge Discovery 6, 153-172 (2002)
    • (2002) Data Mining and Knowledge Discovery , vol.6 , pp. 153-172
    • Brighton, H.1    Mellish, C.2
  • 4
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithms
    • Wilson, D.R., Martinez, T.R.: Reduction techniques for instance-based learning algorithms. Machine Learning 38, 257-286 (2000)
    • (2000) Machine Learning , vol.38 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2
  • 8
    • 34047213517 scopus 로고    scopus 로고
    • The generalized condensed nearest neighbor rule as a data reduction method
    • Washington, DC, USA, pp, IEEE Computer Society, Los Alamitos
    • Chou, C.H., Kuo, B.H., Chang, F.: The generalized condensed nearest neighbor rule as a data reduction method. In: ICPR 2006: Proceedings of the 18th International Conference on Pattern Recognition, Washington, DC, USA, pp. 556-559. IEEE Computer Society, Los Alamitos (2006)
    • (2006) ICPR 2006: Proceedings of the 18th International Conference on Pattern Recognition , pp. 556-559
    • Chou, C.H.1    Kuo, B.H.2    Chang, F.3
  • 9
    • 35348902771 scopus 로고    scopus 로고
    • Fast nearest neighbor condensation for large data sets classification
    • Angiulli, F.: Fast nearest neighbor condensation for large data sets classification. IEEE Transactions on Knowledge and Data Engineering 19, 1450-1464 (2007)
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , pp. 1450-1464
    • Angiulli, F.1
  • 10
    • 51349098968 scopus 로고    scopus 로고
    • Hao, X., Zhang, C., Xu, H., Tao, X., Wang, S., Hu, Y.: An improved condensing algorithm. In: Seventh IEEE/ACIS International Conference on Computer and Information Science, ICIS 2008, pp. 316-321 (2008)
    • Hao, X., Zhang, C., Xu, H., Tao, X., Wang, S., Hu, Y.: An improved condensing algorithm. In: Seventh IEEE/ACIS International Conference on Computer and Information Science, ICIS 2008, pp. 316-321 (2008)
  • 11
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data
    • Wilson, D.L.: Asymptotic properties of nearest neighbor rules using edited data. IEEE Transactions on Systems, Man and Cybernetics 2, 408-421 (1972)
    • (1972) IEEE Transactions on Systems, Man and Cybernetics , vol.2 , pp. 408-421
    • Wilson, D.L.1
  • 12
    • 0016969272 scopus 로고
    • An experiment with the nearest neighbor rule
    • Tomek, I.: An experiment with the nearest neighbor rule. IEEE Transactions on Information Theory 6, 448-452 (1976)
    • (1976) IEEE Transactions on Information Theory , vol.6 , pp. 448-452
    • Tomek, I.1
  • 14
    • 35048842249 scopus 로고    scopus 로고
    • Jiang, Y., Zhou, Z.: Editing training data for knn classifiers with neural network ensemble. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, 3173, pp. 356-361. Springer, Heidelberg (2004)
    • Jiang, Y., Zhou, Z.: Editing training data for knn classifiers with neural network ensemble. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol. 3173, pp. 356-361. Springer, Heidelberg (2004)
  • 15
    • 0019392071 scopus 로고
    • On the relation of performance to editing in nearest neighbor rules
    • Koplowitz, J., Brown, T.A.: On the relation of performance to editing in nearest neighbor rules. Pattern Recognition 13, 251-255 (1981)
    • (1981) Pattern Recognition , vol.13 , pp. 251-255
    • Koplowitz, J.1    Brown, T.A.2
  • 17
    • 85118837783 scopus 로고
    • Addressing the selective superiority problem: Automatic algorithm/mode class selection
    • Morgan Kaufmann Publishers Inc, San Francisco
    • Brodley, C.: Addressing the selective superiority problem: Automatic algorithm/mode class selection. In: Proceedings of the 10th International Conference on Machine Learning (ICML 1993), pp. 17-24. Morgan Kaufmann Publishers Inc., San Francisco (1993)
    • (1993) Proceedings of the 10th International Conference on Machine Learning (ICML , pp. 17-24
    • Brodley, C.1
  • 19
    • 85107848924 scopus 로고
    • Selecting typical instances in instance-based learning
    • Morgan Kaufmann Publishers Inc, San Francisco
    • Zhang, J.: Selecting typical instances in instance-based learning. In: Proceedings of the 9th International Conference on Machine Learning (ICML 1992), pp. 470-479. Morgan Kaufmann Publishers Inc., San Francisco (1992)
    • (1992) Proceedings of the 9th International Conference on Machine Learning (ICML , pp. 470-479
    • Zhang, J.1
  • 20
    • 35449000094 scopus 로고    scopus 로고
    • Mining competent case bases for case-based reasoning
    • Pan, R., Yang, Q., Pan, S.J.: Mining competent case bases for case-based reasoning. Artificial Intelligence 171, 1039-1068 (2007)
    • (2007) Artificial Intelligence , vol.171 , pp. 1039-1068
    • Pan, R.1    Yang, Q.2    Pan, S.J.3
  • 21
    • 38049011065 scopus 로고    scopus 로고
    • When similar problems don't have similar solutions
    • Weber, R.O, Richter, M.M, eds, ICCBR 2007, Springer, Heidelberg
    • Massie, S., Craw, S., Wiratunga, N.: When similar problems don't have similar solutions. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS, vol. 4626, pp. 92-106. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4626 , pp. 92-106
    • Massie, S.1    Craw, S.2    Wiratunga, N.3
  • 25
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • Dietterich, D.T.: Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computing 10, 1895-1923 (1998)
    • (1998) Neural Computing , vol.10 , pp. 1895-1923
    • Dietterich, D.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.