| Titre : |
Pattern Recognition Algorithms for Data Mining |
| Type de document : |
texte imprimé |
| Auteurs : |
Sankar K. Pal, Auteur ; Pabitra Mitra, Auteur |
| Editeur : |
Chapman& Hall |
| ISBN/ISSN/EAN : |
978-1-58488-457-6 |
| Langues : |
Anglais (eng) |
| Catégories : |
Informatique
Informatique:programmes
Informatique:programmes:Programmation orientées objets
|
| Index. décimale : |
005.117 Programmation orientée objet |
| Résumé : |
Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. |
Pattern Recognition Algorithms for Data Mining [texte imprimé] / Sankar K. Pal, Auteur ; Pabitra Mitra, Auteur . - [S.l.] : Chapman& Hall, [s.d.]. ISBN : 978-1-58488-457-6 Langues : Anglais ( eng)
| Catégories : |
Informatique
Informatique:programmes
Informatique:programmes:Programmation orientées objets
|
| Index. décimale : |
005.117 Programmation orientée objet |
| Résumé : |
Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. |
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