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Advances in Data Mining. Applications and Theoretical Aspects : 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings / edited by Petra Perner.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 7987Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Descripción: x, 281 páginas 73 ilustraciones recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642397363
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA76.9.D343
Recursos en línea:
Contenidos:
Theoretical aspects of data mining; applications of data mining in multimedia data -- Applications of data mining in marketing and in finance -- Applications of data mining in telecommunication -- Applications of data mining in medicine and agriculture -- Applications of data mining in process control, industry and society.
Resumen: This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.
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Theoretical aspects of data mining; applications of data mining in multimedia data -- Applications of data mining in marketing and in finance -- Applications of data mining in telecommunication -- Applications of data mining in medicine and agriculture -- Applications of data mining in process control, industry and society.

This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.

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