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Machine Learning and Data Mining in Pattern Recognition

12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings

  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9729)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9729)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Robert E. Marmelstein, Alexander L. Hunt, Christoper Eroh
    Pages 1-14
  3. Yuan Wang, Xiaochun Wang, Xia Li Wang
    Pages 15-27
  4. Turki Turki, William Bassett, Jason T. L. Wang
    Pages 28-42
  5. Nour El Islem Karabadji, Sabeur Aridhi, Hassina Seridi
    Pages 43-57
  6. Vinh-Trung Luu, Mathis Ripken, Germain Forestier, Frédéric Fondement, Pierre-Alain Muller
    Pages 58-72
  7. Babak Khosravifar, Mohamed Bouguessa
    Pages 73-87
  8. Kiran Rama, Shashank Shekhar, John Kiran, Raghava Rau, Sam Pritchett, Anit Bhandari et al.
    Pages 88-97
  9. Daniel Braun, Michael Singhof, Stefan Conrad
    Pages 98-112
  10. Loai AbdAllah, Ilan Shimshoni
    Pages 113-127
  11. Zeev Volkovich
    Pages 128-142
  12. Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
    Pages 170-184
  13. Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng
    Pages 199-213
  14. Vincent Brault, Julien Chiquet, Céline Lévy-Leduc
    Pages 214-228
  15. Yu Zhang, Tse-Chuan Yang, Stephen A. Matthews
    Pages 229-235
  16. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong
    Pages 236-250
  17. Atta Muhammad, Sher Muhammad Daudpota
    Pages 267-283
  18. Carlos Roberto Silveira Junior, Marcela Xavier Ribeiro, Marilde Terezinha Prado Santos
    Pages 284-293
  19. Daoyuan Li, Li Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
    Pages 294-310
  20. Alexander Kuleshov, Alexander Bernstein
    Pages 311-325
  21. Ahmed Aljuboori, Farid Meziane, David Parsons
    Pages 326-340
  22. Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
    Pages 341-345
  23. Darshan Iyer, Fahim Mohammad, Yuan Guo, Ebrahim Al Safadi, Benjamin J. Smiley, Zhiqiang Liang et al.
    Pages 346-355
  24. Ferhat Özçep, Eray Yıldırım, Okan Tezel, Metin Aşçı, Savaş Karabulut, Tazegül Özçep
    Pages 356-361
  25. Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
    Pages 362-376
  26. Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An
    Pages 387-400
  27. Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi
    Pages 401-414
  28. Qiang You, Ou Wu, Guan Luo, Weiming Hu
    Pages 421-434
  29. B. M. Thamali Lekamge, Arcot Sowmya, Janet Newman
    Pages 446-458
  30. Van-Sang Ha, Ha-Nam Nguyen
    Pages 459-467
  31. Jayati Deshmukh, K. M. Annervaz, Shubhashis Sengupta, Neetu Pathak
    Pages 468-482
  32. Saeed Sedighi, Mehdi Roopaei, Sos Agaian
    Pages 483-490
  33. Jordi Pérez-Romero, Juan Sánchez-González, Oriol Sallent, Ramon Agustí
    Pages 501-515
  34. Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara
    Pages 516-529
  35. Johannes Fliege, Wolfgang Benn
    Pages 545-559
  36. Yoshiaki Okubo, Makoto Haraguchi, Etsuji Tomita
    Pages 569-583
  37. Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan
    Pages 584-598
  38. Shruti Kaushik, Abhinav Choudhury, Kaustubh Mallik, Anzer Moid, Varun Dutt
    Pages 599-613
  39. Pavel Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov
    Pages 614-629
  40. V. Susheela Devi, Bhupesh Akhand
    Pages 630-642

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 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.

Keywords

data mining machine learning natural language processing social network analysis topic modeling anomaly detection association rule bayesian network big data case-based reasoning cellular networks clustering ensemble methods feature extraction fuzzy logic information retrieval sequential pattern mining similarity measures spatial data mining SVM

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.IBaIInst of Comp Vision and applied Comp SciLeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41920-6
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41919-0
  • Online ISBN 978-3-319-41920-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site