Table des matières
Résumé……………………………………………………………………………………………………………….…………….i
Remerciements…………………………………………………………………………………………………………………ii
Dédicaces………………………………………………………………………………………………………………..……….iii
Table des matières……………………………………………………………………………………………………………iv
Liste des figures………………………………………………………………………………………………………..……..vi
INTRODUCTION GENERALE
1. Chapitre 1 Data mining
1.1 Introduction………………………………………………………………………………………………………………………...……….5
1.2 Definition du data mining ………………………………………………………………………………………………..………….5
1.3 Motivation du Data Mining ………………………………………………………………………………………….……………..7
1.4 Taches du Data Mining …………………………………………………………………………………………………….………….7
1.4.1 Classification …………………………………………………………………………………………………………………….………7
1.4.1.1 Classification non supervisée ………………………………………………………………………………………………..8
1.4.1.2 Classification supervisée……………………………………………………………………………………………..…………8
1.4.2 Estimation………………………………………………………………………………………………………………………..……. 9
1.4.3 Prédiction ……………………………………………………………………………………………………………………..…………9
1.4.4 Groupement par similitude …………………………………………………………………………………………………….10
1.4.5 Analyse des clusters ……………………………………………………………………………………………………………….10
1.6 Techniques du Data Mining ………………………………………………………………………………………………..…….11
1.6.1 Association Rule Mining …………………………………………………………………………………………………..…….11
1.6.1.1 Algorithmes ARM de base ………………………………………………………………………………………………..…13
1.7 Conclusion …………………………………………………………………………………………………………………………..……15
Chapitre 2 : Agent et Système Multi-Agents…………………………………………………………………...16
2.1 Introduction …………………………………………………………………………………………………………..…..17
2.2 Définition d’un Agent …………………………………………………………………………………………..…….17
2.3 Caractéristiques d’agents ………………………………………………………………………………………..…18
2.4 Typologie d’agents …………………………………………………………………………………………………….18