Advertisement

Machine Learning and Data Mining in Pattern Recognition

8th International Conference, MLDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings

  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7376)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7376)

Table of contents

  1. Front Matter
  2. Theory

    1. Pavel Turkov, Olga Krasotkina, Vadim Mottl
      Pages 1-10
    2. Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo
      Pages 11-25
    3. Hai Thanh Nguyen, Katrin Franke
      Pages 40-49
    4. Dieter William Joenssen, Udo Bankhofer
      Pages 63-75
    5. Saket Bharambe, Harshit Dubey, Vikram Pudi
      Pages 76-85
    6. Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandhopadyay
      Pages 86-101
    7. Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo
      Pages 102-116
  3. Theory: Evaluation of Models and Performance Evaluation Methods

    1. Rui Leite, Pavel Brazdil, Joaquin Vanschoren
      Pages 117-131
    2. Upendra Sapkota, Barrett R. Bryant, Alan Sprague
      Pages 141-153
    3. Thais Mayumi Oshiro, Pedro Santoro Perez, José Augusto Baranauskas
      Pages 154-168
  4. Theory: Learning

    1. Heni Bouhamed, Afif Masmoudi, Thierry Lecroq, Ahmed Rebaï
      Pages 183-197
    2. Nikolaos Pitelis, Anastasios Tefas
      Pages 198-212
    3. Nong Thi Hoa, Bui The Duy
      Pages 213-221
  5. Theory: Clustering

    1. Javid Ebrahimi, Mohammad Saniee Abadeh
      Pages 237-251
    2. Andreia Silva, Cláudia Antunes
      Pages 252-263
    3. Charlie Isaksson, Margaret H. Dunham, Michael Hahsler
      Pages 264-278
    4. Minh Thuy Ta, Hoai An Le Thi, Lydia Boudjeloud-Assala
      Pages 279-292
    5. Mihai Vlase, Dan Munteanu, Adrian Istrate
      Pages 293-305
  6. WebMining

    1. Sahar Changuel, Nicolas Labroche
      Pages 306-320
    2. Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng
      Pages 321-335
  7. Image Mining

    1. Mariusz Borawski, Dariusz Frejlichowski
      Pages 336-344
    2. Guang Jiang, Xi Liu, Zhongzhi Shi
      Pages 345-354
    3. Luca Piras, Giorgio Giacinto, Roberto Paredes
      Pages 355-365
    4. M. Sulaiman Khan, Frans Coenen, Clare Dixon, Subhieh El-Salhi
      Pages 366-379
  8. Data Mining in Biometry and Security

  9. Data Mining in Medicine

    1. Konstantinos Kalpakis, Shiming Yang, Peter F. Hu, Colin F. Mackenzie, Lynn G. Stansbury, Deborah M. Stein et al.
      Pages 415-426
    2. Nasser Omer Ba-Karait, Siti Mariyam Shamsuddin, Rubita Sudirman
      Pages 427-438
  10. Data Mining in Environment and Water Quality Detection

  11. Image Mining in Medicine

    1. Leonardo Barros Nascimento, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva
      Pages 454-466
    2. Tomasz Staroszczyk, Stanislaw Osowski, Tomasz Markiewicz
      Pages 467-481
    3. Péterson Moraes de Sousa Carvalho, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva
      Pages 482-494
  12. Text Mining

    1. Matias Garcia-Constantino, Frans Coenen, P. -J. Noble, Alan Radford, Christian Setzkorn
      Pages 495-509
    2. Davide Maiorca, Giorgio Giacinto, Igino Corona
      Pages 510-524
    3. Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil
      Pages 525-539
    4. Luepol Pipanmaekaporn, Yuefeng Li
      Pages 540-554
  13. Data Mining in Network

    1. Lucrezia Macchia, Michelangelo Ceci, Donato Malerba
      Pages 566-577
    2. Talieh Seyed Tabatabaei, Mostafa Adel, Fakhri Karray, Mohamed Kamel
      Pages 578-592
    3. Iwan Syarif, Ed Zaluska, Adam Prugel-Bennett, Gary Wills
      Pages 593-602
  14. Applications of Data Mining in Process Automation, Organisation Change Management, Telecommunication and Post Services

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 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 stream clustering multi-relational classification particle swarm optimization support vector machine transductive learning

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer SciencesIBaILeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31537-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-31536-7
  • Online ISBN 978-3-642-31537-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Engineering