L. Yu, S. Wang, and K. K. Lai, An integrated data preparation scheme for neural network data analysis, Knowledge and Data Engineering, IEEE Transactions, vol.18, issue.2, pp.217-230, 2006.

X. Hu, DB-HReduction: A data preprocessing algorithm for data mining applications, Applied Mathematics Letters, vol.16, issue.6, pp.889-895, 2003.
DOI : 10.1016/S0893-9659(03)90013-9

URL : https://doi.org/10.1016/s0893-9659(03)90013-9

K. U. Sattler and E. Schallehn, A data preparation framework based on a multidatabase language, Proceedings 2001 International Database Engineering and Applications Symposium, pp.219-228, 2001.
DOI : 10.1109/IDEAS.2001.938088

URL : http://fusion.cs.uni-magdeburg.de/pubs/sattlerk_dataprep.pdf

R. Pastor-satorras and A. Vespignani, Epidemics and immunization in scale-free networks, p.Handbook, 2002.
DOI : 10.1002/3527602755.ch5

URL : http://arxiv.org/pdf/cond-mat/0205260v1.pdf

N. A. Flanders, Analyzing Teaching Behaviour, 1970.

S. Tsumoto, Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model, Information Sciences, vol.162, issue.2, pp.65-80, 2004.
DOI : 10.1016/j.ins.2004.03.002

M. D. Ritchie, A. A. Motsinger, W. S. Bush, C. S. Coffey, and J. H. Moore, Genetic programming neural networks: A powerful bioinformatics tool for human genetics, Applied Soft Computing, vol.7, issue.1, pp.471-479, 2007.
DOI : 10.1016/j.asoc.2006.01.013

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2952963/pdf

J. H. Moore and S. M. Williams, New strategies for identifying gene-gene interactions in hypertension, Annals of Medicine, vol.34, issue.2, pp.88-95, 2002.
DOI : 10.1080/07853890252953473

W. Feller, An Introduction to Probability Theory and its Applications (volume I), 1968.

H. G. Traven, A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functions, IEEE Transactions on Neural Networks, vol.2, issue.3, pp.366-377, 1991.
DOI : 10.1109/72.97913

S. Y. Anita, Transvaginal ultrasound measurement ofendometrial thickness as a biomarker for estrogen exposure, Cancer Epidemiology Biomarkers, vol.13, issue.9, pp.1459-65, 1968.

H. Sarimveis, P. Doganis, and A. Alexandridis, A classification technique based on radial basis function neural networks, Advances in Engineering Soft2ware, pp.218-221, 2006.
DOI : 10.1016/j.advengsoft.2005.07.005

V. Belesiotis, A software system for the didactic utilization of classroom observation for Informatic courses, Greek): 5th Panhellenic Conference on Didactic on Informatics, pp.259-256, 2010.