Contributions to decision tree based learning

Contributions to decision tree based learning

Advances in data collection methods, storage and processing technology are providing a unique challenge and opportunity for automated data learning techniques which aim at producing high-level information, or models, from data. A Typical knowledge discovery process consists of data selection, data p...

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Bibliographic Details
Main Author: Qureshi, Taimur
Other Authors: Lyon 2
Language:en
Published: 2010
Subjects:
Apprentissage Topologique
Arbres de Décision
Classification
Discrétisation
Fouille des Données
Partitionnement Flou
Préparation de Données
Ré-échantillonnage
Réduction de Dimensions
Data Mining
Data Preprocessing
Decision Trees
Dimensionality Reduction
Discretization
Fuzzy Partitioning
Resampling
Topological Learning
Online Access:http://www.theses.fr/2010LYO20051/document

Internet

http://www.theses.fr/2010LYO20051/document

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