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Machine Learning and Data Mining in Pattern Recognition

13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10358)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MLDM 2017.

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Table of contents (31 papers)

Other volumes

  1. Machine Learning and Data Mining in Pattern Recognition

Keywords

About this book

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 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.

Editors and Affiliations

  • Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany

    Petra Perner

Bibliographic Information

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