Rough Sets and Knowledge Technology [recurso electrónico] : 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings / edited by JingTao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj.

Por: Yao, JingTao [editor.]Colaborador(es): Ramanna, Sheela [editor.] | Wang, Guoyin [editor.] | Suraj, Zbigniew [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6954Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XVIII, 771 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642244254Tema(s): Computer science | Database management | Data mining | Artificial intelligence | Optical pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Database Management | Mathematical Logic and Formal Languages | Computation by Abstract Devices | Pattern RecognitionFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.
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Colección de Libros Electrónicos Q334 -342 (Browse shelf(Abre debajo)) 1 No para préstamo 376785-2001

This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.

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