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Volumn 9, Issue 4, 2012, Pages 1627-1643

Clustering based two-stage text classification requiring minimal training data

Author keywords

Active semi supervised clustering; Clustering; Text classification; Two stage classification

Indexed keywords


EID: 84873195054     PISSN: 18200214     EISSN: None     Source Type: Journal    
DOI: 10.2298/CSIS120130044Z     Document Type: Article
Times cited : (8)

References (24)
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    • Joachims, T.1
  • 2
    • 0001409330 scopus 로고    scopus 로고
    • Naïve Bayes at forty: The independence assumption in information retrieval
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    • Lewis, D. D.: Naïve Bayes at forty: The independence assumption in information retrieval. In Proceedings of the European Conference on Machine Learning. Chemnitz, Germany, April 21 - 24 (1998).
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    • Lewis, D.D.1
  • 8
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • Nigam, K., McCallurn, A. K., Thrun, S., Mitchell, T.: Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallurn, A.K.2    Thrun, S.3    Mitchell, T.4
  • 12
    • 77952390455 scopus 로고    scopus 로고
    • Classifying large data sets using SVMs with hierarchical clusters
    • Washington, DC, USA
    • Yu, H., Yang, J., Han, J.: Classifying large data sets using SVMs with hierarchical clusters. in Proceedings of the 9th ACM SIGKDD 2003, Washington, DC, USA, 2003.
    • (2003) Proceedings of the 9th ACM SIGKDD 2003
    • Yu, H.1    Yang, J.2    Han, J.3
  • 14
    • 73349111849 scopus 로고    scopus 로고
    • Text classification aided by clustering: A literature review
    • 2008
    • Kyriakopoulou, A.: (2008). Text classification aided by clustering: a literature review. Tools in Artificial Inteligence, 233-252, 2008.
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    • Kyriakopoulou, A.1
  • 15
    • 0036454664 scopus 로고    scopus 로고
    • Semi-supervised support vector machines for unlabeled data classification
    • Fung, G., Mangasarian, O.L.: (2001). Semi-supervised support vector machines for unlabeled data classification. Optim. Methods Software, 2001, v15 i1. 29-44.
    • (2001) Optim. Methods Software , vol.15 , pp. 29-44
    • Fung, G.1    Mangasarian, O.L.2
  • 16
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    • Combining clustering with classification for spam detection in social bookmarking systems
    • Antwerp, Belgium 2008
    • A. Kyriakopoulou, T. Kalamboukis. (2008). Combining clustering with classification for spam detection in social bookmarking systems. in Proceedings of ECML/PKDD Discovery Challenge 2008 (RSDC 2008), Antwerp, Belgium, 2008, pp. 47-54.
    • (2008) Proceedings of ECML/PKDD Discovery Challenge 2008 (RSDC 2008) , pp. 47-54
    • Kyriakopoulou, A.1    Kalamboukis, T.2
  • 19
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    • A multiobjective simultaneous learning framework for clustering and classification
    • Cai, W., Chen, S., Zhang, D.: A multiobjective simultaneous learning framework for clustering and classification. IEEE Transactions on Neural Networks, 21(2): 185-200, 2010.
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    • Cai, W.1    Chen, S.2    Zhang, D.3
  • 24
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    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • Ng, A. Y., Jordan, M. I.: On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. Advances in Neural Information Processing Systems 14, 2002.
    • (2002) Advances In Neural Information Processing Systems 14
    • Ng, A.Y.1    Jordan, M.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.