Machine Learning and Data Mining in Pattern Recognition
13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings
Published on 4. July 2017
Book
Paperback/Softback
IX, 452 pages
978-3-319-62415-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
129 s/w Abbildungen
IX, 452 p. 129 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
698 gr
ISBN-13
978-3-319-62415-0 (9783319624150)
DOI
10.1007/978-3-319-62416-7
Schweitzer Classification
Other editions
Additional editions
Petra Perner
Machine Learning and Data Mining in Pattern Recognition
13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings
E-Book
07/2017
Springer
€53.49
Available for download
Content
Classification.- Clustering.- Association rule.- Pattern mining.- Specific data mining methods.- Different multi-media data types.- Image mining.- Text mining.- Video mining.- Web mining.