G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.6, 2005.
DOI : 10.1109/TKDE.2005.99

H. Baayen, An experiment in authorship attribution, 6th JADT, pp.29-37, 2002.

V. Chandola, A. Banerjee, and V. Kumar, Anomaly detection, ACM Computing Surveys, vol.41, issue.3, p.15, 2009.
DOI : 10.1145/1541880.1541882

C. Chung and J. W. Pennebaker, The psychological functions of function words, pp.343-359, 2007.

P. Filzmoser, A multivariate outlier detection method, Proceedings of the Seventh International Conference on Computer Data Analysis and Modeling, pp.18-22, 2004.

N. Görnitz, Toward supervised anomaly detection. arXiv preprint arXiv:1401, 2014.

K. Heller, One class support vector machines for detecting anomalous windows registry accesses, Workshop on Data Mining for Computer Security (DMSEC), pp.2-9, 2003.

D. I. Holmes, M. Robertson, and R. Paez, Stephen Crane and the New-York Tribune: A case study in traditional and non-traditional authorship attribution, Computers and the Humanities, vol.35, issue.3, pp.315-331, 2001.
DOI : 10.1023/A:1017549100097

V. Ke?elj, N-gram-based author profiles for authorship attribution, Proceedings of the conference pacific association for computational linguistics, pp.255-264, 2003.

M. Koppel and J. Schler, Authorship verification as a one-class classification problem, Twenty-first international conference on Machine learning , ICML '04, p.62, 2004.
DOI : 10.1145/1015330.1015448

M. Koppel, J. Schler, and S. Argamon, Computational methods in authorship attribution, Journal of the American Society for Information Science and Technology, vol.57, issue.3, pp.9-26, 2009.
DOI : 10.1002/asi.20961

O. V. Kukushkina, A. A. Polikarpov, and D. V. Khmelev, Using literal and grammatical statistics for authorship attribution. Problems of Information Transmission, pp.172-184, 2001.

M. Markou and S. Singh, Novelty detection: a review???part 1: statistical approaches, Signal Processing, vol.83, issue.12, pp.2481-2497, 2003.
DOI : 10.1016/j.sigpro.2003.07.018

P. J. Rousseeuw and B. C. Van-zomeren, Unmasking Multivariate Outliers and Leverage Points, Journal of the American Statistical Association, vol.85, issue.411, pp.633-639, 1990.
DOI : 10.1111/j.1467-9574.1988.tb01224.x

F. Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, pp.1-47, 2002.
DOI : 10.1145/505282.505283

E. Stamatatos, A survey of modern authorship attribution methods, Journal of the American Society for Information Science and Technology, vol.57, issue.3, pp.538-556, 2009.
DOI : 10.1002/asi.21001

C. Wressnegger, -grams in intrusion detection, Proceedings of the 2013 ACM workshop on Artificial intelligence and security, AISec '13, pp.67-76, 2013.
DOI : 10.1145/2517312.2517316

G. U. Yule, The statistical study of literary vocabulary, CUP Archive, 1944.

Y. Zhao and J. Zobel, Effective and Scalable Authorship Attribution Using Function Words, In Information Retrieval Technology, pp.174-189, 2005.
DOI : 10.1007/11562382_14

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.12