
Machine Learning and Data Mining in Pattern Recognition
12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
Petra Perner(Editor)
Springer (Publisher)
Published on 28. June 2016
Book
Paperback/Softback
XIII, 807 pages
978-3-319-41919-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
291 s/w Abbildungen
XIII, 807 p. 291 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 44 mm
Weight
1223 gr
ISBN-13
978-3-319-41919-0 (9783319419190)
DOI
10.1007/978-3-319-41920-6
Schweitzer Classification
Other editions
Additional editions

Petra Perner
Machine Learning and Data Mining in Pattern Recognition
12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
E-Book
06/2016
Springer
€96.29
Available for download
Content
Classification.- Clustering.- Association rule.- Pattern mining.- Image mining.-Text mining.- Video mining.- Web mining.