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Advances in Data Mining. Applications and Theoretical Aspects de Petra Perner

Advances in Data Mining. Applications and Theoretical Aspects: Lecture Notes in Computer Science, cartea 9728

Editat de Petra Perner
en Limba Engleză Paperback – 28 iun 2016
This book constitutes the refereed proceedings of the 16th Industrial Conference on Advances in Data Mining, ICDM 2016, held in New York, NY, USA, in July 2016.
The 33 revised full papers presented were carefully reviewed and selected from 100 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control, industry, and society.
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Specificații

ISBN-13: 9783319415604
ISBN-10: 3319415603
Pagini: 456
Ilustrații: IX, 446 p. 144 illus.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Data Mining.- Multimedia Data in Marketing. Medicine.- E-Commerce.- Web-Mining.- Multimedia Data. 

Caracteristici

Includes supplementary material: sn.pub/extras

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.