
Machine Learning and Data Mining in Pattern Recognition
11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings
Petra Perner(Editor)
Springer (Publisher)
Published on 13. July 2015
Book
Paperback/Softback
IX, 454 pages
978-3-319-21023-0 (ISBN)
Description
This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 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
2015 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
132 s/w Abbildungen
IX, 454 p. 132 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
698 gr
ISBN-13
978-3-319-21023-0 (9783319210230)
DOI
10.1007/978-3-319-21024-7
Schweitzer Classification
Other editions
Additional editions

Petra Perner
Machine Learning and Data Mining in Pattern Recognition
11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings
E-Book
06/2015
Springer
€53.49
Available for download
Content
Graph Mining.- Classification and regression.- Sentiment analysis.- Data preparation and missing values.- Association and sequential rule mining.- Support vector machines.- Frequent item set mining and time series analysis.- Clustering.- Text mining.- Applications data mining.