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Machine Learning and Data Mining in Pattern Recognition de Petra Perner

Machine Learning and Data Mining in Pattern Recognition: Lecture Notes in Computer Science, cartea 10358

Editat de Petra Perner
en Limba Engleză Paperback – 4 iul 2017
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.
The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
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Specificații

ISBN-13: 9783319624150
ISBN-10: 3319624156
Pagini: 464
Ilustrații: IX, 452 p. 129 illus.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.7 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Classification.- Clustering.- Association rule.- Pattern mining.- Specific data mining methods.- Different multi-media data types.- Image mining.- Text mining.- Video mining.- Web mining.
 

Caracteristici

Includes supplementary material: sn.pub/extras

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009, held in Leipzig, Germany, in July 2009.
The 63 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers are organized in topical sections on attribute discretization and data preparation; classification; ensemble classifier learning; associate rules and pattern minig; support vector machines; clustering; novelty and outlier detection; learning; data mining and multimedia data; text mining; aspects of data mining; as well as data mining in medicine.