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Volumn 61, Issue 11, 2010, Pages 2256-2265

Selecting negative examples for hierarchical text classification: An experimental comparison

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION TIME; DATA SETS; EXPERIMENTAL COMPARISON; EXPONENTIAL TIME; HUMAN LANGUAGE TECHNOLOGIES; MACHINE-LEARNING; NEGATIVE EXAMPLES; REUTERS-21578; TEXT CLASSIFICATION; TRAINING EXAMPLE;

EID: 78149454350     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21411     Document Type: Article
Times cited : (10)

References (32)
  • 1
    • 0000776545 scopus 로고    scopus 로고
    • Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
    • Chakrabarti, S., Dom, B.E., Agrawal, R., &, Raghavan, P., (1998). Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies. Journal of Very Large Data Bases, 7 (3), 163 - 178.
    • (1998) Journal of Very Large Data Bases , vol.7 , Issue.3 , pp. 163-178
    • Chakrabarti, S.1    Dom, B.E.2    Agrawal, R.3    Raghavan, P.4
  • 2
    • 27144549260 scopus 로고    scopus 로고
    • Editorial: Special issue on learning from imbalanced data sets
    • Chawla, N.V., Japkowicz, N., &, Kolcz, A., (2004). Editorial: Special issue on learning from imbalanced data sets. ACM SIGKDD Explorations, 6 (1), 1 - 6.
    • (2004) ACM SIGKDD Explorations , vol.6 , Issue.1 , pp. 1-6
    • Chawla, N.V.1    Japkowicz, N.2    Kolcz, A.3
  • 3
    • 78149435086 scopus 로고    scopus 로고
    • Hierarchical classification of documents with error control. in Proceedings of the Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01)
    • Cheng, C.-H., Tang, J., Wai-Chee, A., &, King, I., (2001). Hierarchical classification of documents with error control. In Proceedings of the Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01). Lecture Notes in Artificial Intelligence, 2035, 433 - 443.
    • (2001) Lecture Notes in Artificial Intelligence , vol.2035 , pp. 433-443
    • Cheng, C.-H.1    Tang, J.2    Wai-Chee, A.3    King, I.4
  • 6
    • 33750291885 scopus 로고    scopus 로고
    • MP-Boost: A multiple-pivot boosting algorithm and its application to text categorization. in Proceedings of the 13th International Symposium on String Processing and Information Retrieval (SPIRE'06)
    • Esuli, A., Fagni, T., &, Sebastiani, F., (2006). MP-Boost: A multiple-pivot boosting algorithm and its application to text categorization. In Proceedings of the 13th International Symposium on String Processing and Information Retrieval (SPIRE'06). Lecture Notes in Computer Science, 4209, 1 - 12.
    • (2006) Lecture Notes in Computer Science, 4209 , pp. 1-12
    • Esuli, A.1    Fagni, T.2    Sebastiani, F.3
  • 7
    • 43949121902 scopus 로고    scopus 로고
    • Boosting multi-label hierarchical text categorization
    • Esuli, A., Fagni, T., &, Sebastiani, F., (2008). Boosting multi-label hierarchical text categorization. Information Retrieval, 11 (4), 287 - 313.
    • (2008) Information Retrieval , vol.11 , Issue.4 , pp. 287-313
    • Esuli, A.1    Fagni, T.2    Sebastiani, F.3
  • 8
    • 11144323868 scopus 로고    scopus 로고
    • Automated categorization in the international patent classification
    • Fall, C.J., Törcsvári, A., Benzineb, K., &, Karetka, G., (2003). Automated categorization in the international patent classification. SIGIR Forum, 37 (1), 10 - 25.
    • (2003) SIGIR Forum , vol.37 , Issue.1 , pp. 10-25
    • Fall, C.J.1    Törcsvári, A.2    Benzineb, K.3    Karetka, G.4
  • 11
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf, C.J. Burges, & A.J. Smola (Eds.),. Cambridge, MA: The MIT Press
    • Joachims, T., (1999). Making large-scale SVM learning practical. In, B. Schölkopf, C.J. Burges, &, A.J. Smola, (Eds.), Advances in Kernel Methods-Support Vector Learning (pp. 169 - 184). Cambridge, MA: The MIT Press.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 13
    • 33746058639 scopus 로고    scopus 로고
    • Learning and evaluation in the presence of class hierarchies: Application to text categorization. in Proceedings of the 19th Canadian Conference on Artificial Intelligence (AI'06)
    • Kiritchenko, S., Matwin, S., Nock, R., &, Famili, A.F., (2006). Learning and evaluation in the presence of class hierarchies: Application to text categorization. In Proceedings of the 19th Canadian Conference on Artificial Intelligence (AI'06). Lecture Notes in Artificial Intelligence, 4013, 395 - 406.
    • (2006) Lecture Notes in Artificial Intelligence , vol.4013 , pp. 395-406
    • Kiritchenko, S.1    Matwin, S.2    Nock, R.3    Famili, A.F.4
  • 15
    • 0004109771 scopus 로고
    • Ph.D. thesis, Department of Computer Science, University of Massachusetts, Amherst, MA
    • Lewis, D.D., (1992). Representation and learning in information retrieval. Ph.D. thesis, Department of Computer Science, University of Massachusetts, Amherst, MA.
    • (1992) Representation and Learning in Information Retrieval
    • Lewis, D.D.1
  • 16
  • 18
    • 33745776526 scopus 로고    scopus 로고
    • Support vector machines classification with a very large-scale taxonomy
    • Liu, T., Yang, Y., Wan, H., Zeng, H., Chen, Z., &, Ma, W., (2005). Support vector machines classification with a very large-scale taxonomy. SIGKDD Explorations, 7 (1), 36 - 43.
    • (2005) SIGKDD Explorations , vol.7 , Issue.1 , pp. 36-43
    • Liu, T.1    Yang, Y.2    Wan, H.3    Zeng, H.4    Chen, Z.5    Ma, W.6
  • 22
    • 0242659655 scopus 로고    scopus 로고
    • Hierarchical text categorization using neural networks
    • Ruiz, M., &, Srinivasan, P., (2002). Hierarchical text categorization using neural networks. Information Retrieval, 5 (1), 87 - 118.
    • (2002) Information Retrieval , vol.5 , Issue.1 , pp. 87-118
    • Ruiz, M.1    Srinivasan, P.2
  • 23
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • Salton, G., &, Buckley, C., (1988). Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24 (5), 513 - 523.
    • (1988) Information Processing and Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 24
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Schapire, R.E., &, Singer, Y., (2000). BoosTexter: A boosting-based system for text categorization. Machine Learning, 39 (2/3), 135 - 168.
    • (2000) Machine Learning , vol.39 , Issue.23 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 26
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F., (2002). Machine learning in automated text categorization. ACM Computing Surveys, 34 (1), 1 - 47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.