Advanced search
1 file | 2.34 MB

Evolutionary feature selection for big data classification: a MapReduce approach

Author
Organization
Keywords
INSTANCE SELECTION, ALGORITHMS, TOOL, REDUCTION

Downloads

  • 2592 15Peralta.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 2.34 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Peralta, Daniel, Sara del Río, Sergio Ramírez-Gallego, Isaac Triguero, José M Benítez, and Francisco Herrera. 2015. “Evolutionary Feature Selection for Big Data Classification: a MapReduce Approach.” Mathematical Problems in Engineering.
APA
Peralta, D., del Río, S., Ramírez-Gallego, S., Triguero, I., Benítez, J. M., & Herrera, F. (2015). Evolutionary feature selection for big data classification: a MapReduce approach. MATHEMATICAL PROBLEMS IN ENGINEERING.
Vancouver
1.
Peralta D, del Río S, Ramírez-Gallego S, Triguero I, Benítez JM, Herrera F. Evolutionary feature selection for big data classification: a MapReduce approach. MATHEMATICAL PROBLEMS IN ENGINEERING. 2015;
MLA
Peralta, Daniel et al. “Evolutionary Feature Selection for Big Data Classification: a MapReduce Approach.” MATHEMATICAL PROBLEMS IN ENGINEERING (2015): n. pag. Print.
@article{7066616,
  articleno    = {246139},
  author       = {Peralta, Daniel and del Río, Sara and Ramírez-Gallego, Sergio and Triguero, Isaac and Benítez, José M and Herrera, Francisco},
  issn         = {1024-123X},
  journal      = {MATHEMATICAL PROBLEMS IN ENGINEERING},
  keywords     = {INSTANCE SELECTION,ALGORITHMS,TOOL,REDUCTION},
  language     = {eng},
  pages        = {11},
  title        = {Evolutionary feature selection for big data classification: a MapReduce approach},
  url          = {http://dx.doi.org/10.1155/2015/246139},
  year         = {2015},
}

Altmetric
View in Altmetric
Web of Science
Times cited: