Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality. Allix, K., Bissyandé, T. F., Jérome, Q., Klein, J., State, R., & Le Traon, Y. In Proceedings of Conference on Data and Application Security and Privacy (CODASPY), pages 163-166, 2014.
Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality [link]Paper  bibtex   
@inproceedings{ dblp1671615,
  title = {Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality},
  author = {Kevin Allix and Tegawendé F. Bissyandé and Quentin Jérome and Jacques Klein and Radu State and Yves Le Traon},
  author_short = {Allix, K. and Bissyandé, T. F. and Jérome, Q. and Klein, J. and State, R. and Le Traon, Y.},
  bibtype = {inproceedings},
  type = {inproceedings},
  year = {2014},
  key = {dblp1671615},
  id = {dblp1671615},
  biburl = {http://www.dblp.org/rec/bibtex/conf/codaspy/AllixBJKST14},
  url = {http://doi.acm.org/10.1145/2557547.2557587},
  conference = {CODASPY},
  pages = {163-166},
  text = {CODASPY 2014:163-166},
  booktitle = {Proceedings of Conference on Data and Application Security and Privacy (CODASPY)}
}

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