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ROSEFW-RF: the winner algorithm for the ECBDL'14 big data competition: an extremely imbalanced big data bioinformatics problem

(2015) KNOWLEDGE-BASED SYSTEMS. 87. p.69-79
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Big data, Hadoop, Bioinformatics, MapReduce, Imbalance classification, Evolutionary feature selection, DIFFERENTIAL EVOLUTION, PREDICTION, CLASSIFICATION, MAPREDUCE, REDUCTION, INSIGHT, TRENDS

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Citation

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MLA
Triguero, Isaac, et al. “ROSEFW-RF: The Winner Algorithm for the ECBDL’14 Big Data Competition: An Extremely Imbalanced Big Data Bioinformatics Problem.” KNOWLEDGE-BASED SYSTEMS, vol. 87, 2015, pp. 69–79, doi:10.1016/j.knosys.2015.05.027.
APA
Triguero, I., del Río, S., López, V., Bacardit, J., Benítez, J. M., & Herrera, F. (2015). ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem. KNOWLEDGE-BASED SYSTEMS, 87, 69–79. https://doi.org/10.1016/j.knosys.2015.05.027
Chicago author-date
Triguero, Isaac, Sara del Río, Victoria López, Jaume Bacardit, José M Benítez, and Francisco Herrera. 2015. “ROSEFW-RF: The Winner Algorithm for the ECBDL’14 Big Data Competition: An Extremely Imbalanced Big Data Bioinformatics Problem.” KNOWLEDGE-BASED SYSTEMS 87: 69–79. https://doi.org/10.1016/j.knosys.2015.05.027.
Chicago author-date (all authors)
Triguero, Isaac, Sara del Río, Victoria López, Jaume Bacardit, José M Benítez, and Francisco Herrera. 2015. “ROSEFW-RF: The Winner Algorithm for the ECBDL’14 Big Data Competition: An Extremely Imbalanced Big Data Bioinformatics Problem.” KNOWLEDGE-BASED SYSTEMS 87: 69–79. doi:10.1016/j.knosys.2015.05.027.
Vancouver
1.
Triguero I, del Río S, López V, Bacardit J, Benítez JM, Herrera F. ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem. KNOWLEDGE-BASED SYSTEMS. 2015;87:69–79.
IEEE
[1]
I. Triguero, S. del Río, V. López, J. Bacardit, J. M. Benítez, and F. Herrera, “ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem,” KNOWLEDGE-BASED SYSTEMS, vol. 87, pp. 69–79, 2015.
@article{7066581,
  author       = {{Triguero, Isaac and del Río, Sara and López, Victoria and Bacardit, Jaume and Benítez, José M and Herrera, Francisco}},
  issn         = {{0950-7051}},
  journal      = {{KNOWLEDGE-BASED SYSTEMS}},
  keywords     = {{Big data,Hadoop,Bioinformatics,MapReduce,Imbalance classification,Evolutionary feature selection,DIFFERENTIAL EVOLUTION,PREDICTION,CLASSIFICATION,MAPREDUCE,REDUCTION,INSIGHT,TRENDS}},
  language     = {{eng}},
  pages        = {{69--79}},
  title        = {{ROSEFW-RF: the winner algorithm for the ECBDL'14 big data competition: an extremely imbalanced big data bioinformatics problem}},
  url          = {{http://dx.doi.org/10.1016/j.knosys.2015.05.027}},
  volume       = {{87}},
  year         = {{2015}},
}

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