Advances in Data Mining. Applications and Theoretical Aspects [recurso electrónico] : 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings / edited by Petra Perner.

Por: Perner, Petra [editor.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6870Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XI, 329 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642231841Tema(s): Computer science | Database management | Data mining | Information systems | Multimedia systems | Artificial intelligence | Computer vision | Computer Science | Data Mining and Knowledge Discovery | Multimedia Information Systems | Image Processing and Computer Vision | Information Systems Applications (incl.Internet) | Database Management | Artificial Intelligence (incl. Robotics)Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.312 Clasificación LoC:QA76.9.D343Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.
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Colección de Libros Electrónicos QA76.9 .D343 (Browse shelf(Abre debajo)) 1 No para préstamo 376615-2001

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.

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