© 2013

Machine Learning and Data Mining in Pattern Recognition

9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013. Proceedings

  • Petra Perner
Conference proceedings MLDM 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7988)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7988)

Table of contents

  1. Front Matter
  2. Taku Onodera, Tetsuo Shibuya
    Pages 1-15
  3. Hebah ElGibreen, Mehmet Sabih Aksoy
    Pages 42-56
  4. Carlos Roberto Valêncio, Thatiane Kawabata, Camila Alves de Medeiros, Rogéria Cristiane Gratão de Souza, José Márcio Machado
    Pages 57-68
  5. Samrat Kokkula, Narasimha Murty Musti
    Pages 99-114
  6. Fabio Leonardo Parra, Elizabeth León
    Pages 130-143
  7. Sinziana Mazilu, Alberto Calatroni, Eran Gazit, Daniel Roggen, Jeffrey M. Hausdorff, Gerhard Tröster
    Pages 144-158
  8. Sanghoon Lee, Saeid Belkasim, Yanqing Zhang
    Pages 159-168
  9. Moch Arif Bijaksana, Yuefeng Li, Abdulmohsen Algarni
    Pages 169-182
  10. Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien
    Pages 195-208
  11. Osama Othman, Christopher H. Bryant
    Pages 209-218
  12. Carly Stambaugh, Hui Yang, Felix Breuer
    Pages 219-233
  13. Yunus Dogan, Derya Birant, Alp Kut
    Pages 246-259

About these proceedings


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.


algorithms feature selection prediction support vector machines text classification

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer Sciences, IBaILeipzigGermany

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