Machine Learning and Data Mining in Pattern Recognition
10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings
Published on 4. August 2014
Book
Paperback/Softback
XIV, 536 pages
978-3-319-08978-2 (ISBN)
Description
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 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
2014 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
188 s/w Abbildungen
XIV, 536 p. 188 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
826 gr
ISBN-13
978-3-319-08978-2 (9783319089782)
DOI
10.1007/978-3-319-08979-9
Schweitzer Classification
Other editions
Additional editions
Petra Perner
Machine Learning and Data Mining in Pattern Recognition
10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings
E-Book
07/2014
Springer
€53.49
Available for download
Content
Theoretical topics for classification.- Clustering.- Association rule.- Pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining.- Text mining.- Video mining.- Web mining.