Perner Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition

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14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II

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Beschreibung

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. 
The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as  image mining, text mining, video mining, and Web mining.



Autor*in

Petra Perner

Themen in »Machine Learning and Data Mining in Pattern Recognition«

machine learning data mining pattern recognition medical data mining frequent item set mining time series mining classification feature selection clustering image mining graph mining process mining support vector machines artificial intelligence neural networks

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Details

ISBN: 9783319961323
Verlag: Springer International Publishing
Erscheinung: 08.07.2018

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