UID:
almahu_9947363841602882
Format:
IX, 454 p. 132 illus.
,
online resource.
ISBN:
9783319210247
Series Statement:
Lecture Notes in Computer Science, 9166
Content:
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.
Note:
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.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783319210230
Language:
English
Subjects:
Computer Science
Keywords:
Konferenzschrift
DOI:
10.1007/978-3-319-21024-7
URL:
http://dx.doi.org/10.1007/978-3-319-21024-7
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
