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Volumn 7, Issue 2, 2015, Pages 149-162

Working with multilabel datasets in R: The mldr package

Author keywords

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Indexed keywords


EID: 84954168265     PISSN: None     EISSN: 20734859     Source Type: Journal    
DOI: 10.32614/rj-2015-027     Document Type: Article
Times cited : (57)

References (23)
  • 1
    • 3042597440 scopus 로고    scopus 로고
    • Learning multi-label scene classification
    • [p152]
    • M. Boutell, J. Luo, X. Shen, and C. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 2004. [p152]
    • (2004) Pattern Recognition , vol.37 , Issue.9 , pp. 1757-1771
    • Boutell, M.1    Luo, J.2    Shen, X.3    Brown, C.4
  • 4
    • 84930273620 scopus 로고    scopus 로고
    • Addressing imbalance in multilabel classification: Measures and random resampling algorithms
    • [p151]
    • F. Charte, A. J. Rivera, M. J. del Jesus, and F. Herrera. Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing, 163(0):3-16, 2015. [p151]
    • (2015) Neurocomputing , vol.163 , pp. 3-16
    • Charte, F.1    Rivera, A.J.2    del Jesus, M.J.3    Herrera, F.4
  • 7
    • 24644465053 scopus 로고    scopus 로고
    • The R Commander: A basic statistics graphical user interface to R
    • URL http://www.jstatsoft.org/v14/i09. [p152]
    • J. Fox. The R Commander: A basic statistics graphical user interface to R. Journal of Statistical Software, 14(9):1-42, 2005. URL http://www.jstatsoft.org/v14/i09. [p152]
    • (2005) Journal of Statistical Software , vol.14 , Issue.9 , pp. 1-42
    • Fox, J.1
  • 9
    • 84911374686 scopus 로고    scopus 로고
    • circlize implements and enhances circular visualization in R
    • [p152]
    • Z. Gu, L. Gu, R. Eils, M. Schlesner, and B. Brors. circlize implements and enhances circular visualization in R. Bioinformatics, 30:2811-2812, 2014. [p152]
    • (2014) Bioinformatics , vol.30 , pp. 2811-2812
    • Gu, Z.1    Gu, L.2    Eils, R.3    Schlesner, M.4    Brors, B.5
  • 11
    • 67349192921 scopus 로고    scopus 로고
    • Open-source machine learning: R meetsWeka
    • [p149]
    • K. Hornik, C. Buchta, and A. Zeileis. Open-source machine learning: R meetsWeka. Computational Statistics, 24(2):225-232, 2009. [p149]
    • (2009) Computational Statistics , vol.24 , Issue.2 , pp. 225-232
    • Hornik, K.1    Buchta, C.2    Zeileis, A.3
  • 12
    • 22944464423 scopus 로고    scopus 로고
    • The Enron corpus: A new dataset for email classification research
    • Pisa, Italy, ECML'04, [p150]
    • B. Klimt and Y. Yang. The Enron corpus: A new dataset for email classification research. In Proceedings of the 5th European Conference on Machine Learning, Pisa, Italy, ECML'04, pages 217-226. 2004. [p150]
    • (2004) In Proceedings of the 5th European Conference on Machine Learning , pp. 217-226
    • Klimt, B.1    Yang, Y.2
  • 16
    • 83155175374 scopus 로고    scopus 로고
    • Classifier chains for multi-label classification
    • [p152]
    • J. Read, B. Pfahringer, G. Holmes, and E. Frank. Classifier chains for multi-label classification. Machine Learning, 85:333-359, 2011. [p152]
    • (2011) Machine Learning , vol.85 , pp. 333-359
    • Read, J.1    Pfahringer, B.2    Holmes, G.3    Frank, E.4
  • 18
    • 38049123909 scopus 로고    scopus 로고
    • Random k-labelsets: An ensemble method for multilabel classification
    • Warsaw, Poland, ECML'07, [p152]
    • G. Tsoumakas and I. Vlahavas. Random k-labelsets: An ensemble method for multilabel classification. In Proceedings of the 18th European Conference on Machine Learning, Warsaw, Poland, ECML'07, volume 4701, pages 406-417, 2007. [p152]
    • (2007) In Proceedings of the 18th European Conference on Machine Learning , vol.4701 , pp. 406-417
    • Tsoumakas, G.1    Vlahavas, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.