Bibliographie

ACADÉMIE DES SCIENCES (2000), La statistique. Rapport sur la science et la Techique. Technique & Documentation.

Baum E. (1989), What size net gives valid generalization ? Neural Computation 1, 151-160.

Bergeret F. and Chandon Y. (1999), Improving yeld in ic manufacturing by statistical analysis of a large data base. Micro Magazine, www.micromagazine.com/archive/99/03/bergeret.htlm.

Besse P. (2000), Statistique & data mining. www.ups-tlse.fr/Besse/enseignement.htlm.

Breiman L. (1996), Bagging predictors. Machine learning 26(2), 123-140. Zbl 0858.68080

Breiman L. (2001), Radom forests random features. Machine learning, à paraître. Zbl 1007.68152

Breiman L., Friedman, Olshen R. and Stone C. (1984), Classification and regression trees. Wadsworth & Brooks. Zbl 0541.62042

De Veaux R., Schumi J., Schweinsberg J. and Ungar L. (1998), Prediction intervals for neural networks va nonlinear regression. Technometrics 40(4), 273-282. MR 1659361 | Zbl 1063.62582

Efron B. (1983), Estimating the error rate of a prediction rule : improvementy on cross-validation. Journal of the American Statistical Association 78, 316-331. MR 711106 | Zbl 0543.62079

Elder J. and Prebigon D. (1996), A statistical perspective on knowledge discovery in data bases. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), advances in Knpwledge Discovery and Data Mining, pp. 83-113. AAAI Press/MIT Press.

Fayyad U.M. (1997), Editorial. Data mining and Knowledge discovery 1, 5-10.

Friedman J.H. (1997), Data mining and statistics. What's the connection ? in Proc. of the 29trh Symposium on the Interface : Computing Science and Statistics.

Gardner R., Bieker J. Elwell S., Thalman R. and Rivera E. (2000), Solving tough semiconductor manufacturing problems using data mining. In IEEE/SEMI Advanced semiconductor manufactoring conference.

Ghattas B. (1999), Importance des variables dans les méthodes CART. La Revue de Modulad 24, 17-28.

Ghattas B. (2000), Agrégation d'arbres de classification. Revue de Statistique Appliquée 48(2), 85-98.

Goebel M. and Gruenwald L. (1999), A survey of data mining and knowledge discovery software tolls. in SIGKDD Explorations, pp. 20-33. ACM SIGKDD.

Hand D, Mannila H. and Smyth (2001), Principles of data mining. MIT Press.

Hand D.J. (1998), Data mining : Statistics ans more? The American Statistician 52(2), 112-118.

Hand D.J. (1999), Statistics and data mining : intersecting disciplines. In SIGKDD Explorations, Volume 1, pp. 16-19. ACM SIGKDD.

Hébrail G. and Lechevallier Y. (2002), Data mining et analyse de données symboliques, in Analyse de données. Hermes.

Ho T.K. (1998), The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8), 832-844. citeseer-nj.nec/com/ho98random.htlm.

Hwang J. and Dlng A. (1997), Prediction intervals for artificial neural networks. Journal of the American Statistical Association 92, 748-757. MR 1467864 | Zbl 1090.62559

Jambu M. (2000), Introduction au data mining. Eyrolles.

Michie D., Spiegelhalter and Tayloir C. (1994), Machine leaming, neural and statistical classification. Harwood. Zbl 0827.68094

Mieno F. and Sato T., Shibura Y., Odagiri K., Tsuda H. and Take R. (1990), Yield improvement using data mining system. In Semiconductor Manufacturing Conference Proceedings, pp. 391-394. IEEE.

Quinlan J. (1993), C4.5-Programms for machine learning. Morgan Kaufmann.

Raimbault N., Bes C. and Fabre P. (2001), Neural aircraft autopilot gain adjuster. In 15th IFAC Symposium on Automatic Control in Aerospace.

Raimbault N. and Fabre P. (2001), Probabilistic neural detector of pilot-induced oscillations (pios). In AIAA Guidance, Navigation and Control conference.

S-plus (1987), S-plus 4 Guide to statistics. MathSoft.

SAS (1989), SAS/STAT User's Guide (fourth éd.), Volume 2. Sas Institute Inc. version 7.

SEM (2001), SAS/Enterprise Miner User's Guide. Sas Institute Inc. version 8.

Shlien S. (1990), Multiple binary decision tree classifiers. Pattern Recognition 23, 757-763.

Tibshirani R. (1996), A comparison of some error estimates for neural network models. Neural Computation 8, 152-163.

Zighed D.A. and Rakotomalada (2000), Graphes d'induction, apprentissage et data mining. Hermès.