Advertisement

Machine Learning and Data Mining in Pattern Recognition

7th International Conference, MLDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings

  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6871)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6871)

Table of contents

  1. Front Matter
  2. Classification and Decision Theory

    1. Nenad Tomašev, Miloš Radovanović, Dunja Mladenić, Mirjana Ivanović
      Pages 16-30
    2. Antonina Danylenko, Jonas Lundberg, Welf Löwe
      Pages 31-45
    3. Alexander Y. Liu, Cheryl E. Martin
      Pages 46-59
    4. Dhafer Lahbib, Marc Boullé, Dominique Laurent
      Pages 75-87
    5. S. Sakinah S. Ahmad, Witold Pedrycz
      Pages 99-111
    6. Shu Wu, Shengrui Wang
      Pages 112-126
    7. Houda Benbrahim
      Pages 127-139
    8. Mondelle Simeon, Robert Hilderman
      Pages 140-154
    9. Zehra Cataltepe, Abdullah Sonmez, Kadriye Baglioglu, Ayse Erzan
      Pages 155-169
    10. Tao Xu, Iker Gondra, David Chiu
      Pages 185-198
    11. Victor S. Sheng, Rahul Tada
      Pages 199-209
  3. Theory of Learning

    1. Luiz Antonio Celiberto Junior, Jackson P. Matsuura
      Pages 210-223
    2. Jamshaid G. Mohebzada, Michael M. Richter, Guenther Ruhe
      Pages 239-252
  4. Clustering

    1. Helena Aidos, Ana Fred
      Pages 280-293
    2. Amina Madani, Omar Boussaid, Djamel Eddine Zegour
      Pages 294-305
    3. Elio Lozano, Edgar Acuña
      Pages 306-319
  5. Applications in Medicine

    1. Douglas A. Talbert, Matt Honeycutt, Steve Talbert
      Pages 348-361
    2. Weronika Pia̧tkowska, Jerzy Martyna, Leszek Nowak, Karol Przystalski
      Pages 362-374
  6. WebMining/Information Mining

    1. Xiaoling Chen, Peng Hao, R. Chandramouli, K. P. Subbalakshmi
      Pages 375-386
    2. Matias Garcia-Constantino, Frans Coenen, P. -J. Noble, Alan Radford, Christian Setzkorn, Aine Tierney
      Pages 387-398
    3. Ayesh Alshukri, Frans Coenen, Michele Zito
      Pages 414-427
    4. Minhua Huang, Robert M. Haralick
      Pages 428-442
    5. Yu Jiang, Weiyi Meng, Clement Yu
      Pages 443-457
    6. Peng Hao, Xiaoling Chen, Na Cheng, R. Chandramouli, K. P. Subbalakshmi
      Pages 458-468
    7. Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo
      Pages 469-483
  7. Machine Learning and Image Mining

    1. Dingding Liu, Yingen Xiong, Kari Pulli, Linda Shapiro
      Pages 484-495
    2. Chun-Sheng Chen, Christoph F. Eick, Nouhad J. Rizk
      Pages 496-510
  8. Time Series and Frequent Item Set Mining

  9. Aspects of Machine Learning and Data Mining

    1. Tanwistha Saha, Carlotta Domeniconi, Huzefa Rangwala
      Pages 584-598
    2. Robert Adolf, David Haglin, Mahantesh Halappanavar, Yousu Chen, Zhenyu Huang
      Pages 599-611
  10. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA.

The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, appilication in medicine, Webmining and information mining; and machine learning and image mining.

Keywords

algorithmic learning data analysis kernel methods suppor vector machine text analysis

Editors and affiliations

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-23199-5
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-23198-8
  • Online ISBN 978-3-642-23199-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site