UID:
almahu_9947364461702882
Umfang:
XII, 660 p. 199 illus.
,
online resource.
ISBN:
9783642397127
Serie:
Lecture Notes in Computer Science, 7988
Inhalt:
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.
Anmerkung:
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.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783642397110
Sprache:
Englisch
Schlagwort(e):
Konferenzschrift
;
Konferenzschrift
DOI:
10.1007/978-3-642-39712-7
URL:
http://dx.doi.org/10.1007/978-3-642-39712-7
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
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