Perner Machine Learning and Data Mining in Pattern Recognition

10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings
Erscheinungsjahr 2014
ISBN: 978-3-319-08979-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 536 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Perner, Petra

Inhaltsverzeichnis

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.