Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings: 9729 (Lecture Notes in Computer Science) - Tapa blanda

9783319419190: Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings: 9729 (Lecture Notes in Computer Science)

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ISBN 10: 3319419196 ISBN 13: 9783319419190

Editorial: Springer, 2016

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This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

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Charlotte y Peter Fiell son dos autoridades en historia, teor�a y cr�tica del dise�o y han escrito m�s de sesenta libros sobre la materia, muchos de los cuales se han convertido en �xitos de ventas. Tambi�n han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Dise�o del siglo XX, El dise�o industrial de la A a la Z, Scandinavian Design y Dise�o del siglo XXI.

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EditorialSpringer
A�o de publicaci�n2016
ISBN 10 3319419196
ISBN 13 9783319419190
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas824
EditorPerner Petra
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Machine Learning and Data Mining in Pattern Recognition

Perner, Petra

Publicado por Springer International Publishing, 2016

ISBN 10: 3319419196 ISBN 13: 9783319419190

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully. N� de ref. del art�culo: 122126054

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Machine Learning and Data Mining in Pattern Recognition

Petra Perner

Publicado por Springer International Publishing Jun 2016, 2016

ISBN 10: 3319419196 ISBN 13: 9783319419190

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. 824 pp. Englisch. N� de ref. del art�culo: 9783319419190

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Machine Learning and Data Mining in Pattern Recognition : 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings

Petra Perner

Publicado por Springer International Publishing, 2016

ISBN 10: 3319419196 ISBN 13: 9783319419190

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. N� de ref. del art�culo: 9783319419190

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