Machine Learning and Data Mining in Pattern Recognition
9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings
Published on 9. July 2013
Book
Paperback/Softback
XII, 660 pages
978-3-642-39711-0 (ISBN)
Description
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging 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
2013 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
199 s/w Abbildungen
XII, 660 p. 199 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 36 mm
Weight
1001 gr
ISBN-13
978-3-642-39711-0 (9783642397110)
DOI
10.1007/978-3-642-39712-7
Schweitzer Classification
Other editions
Additional editions
Petra Perner
Machine Learning and Data Mining in Pattern Recognition
9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings
E-Book
07/2013
Springer
€53.49
Available for download
Content
Theoretical topics for classification.- Clustering.- Association rule and pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining.- Text mining.- Video mining.-Web mining.