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Advances in Data Mining. Applications and Theoretical Aspects

10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings

  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6171)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6171)

Table of contents

  1. Front Matter
  2. Invited Talk

    1. Giorgio Giacinto
      Pages 1-16
    2. Isabelle Bichindaritz
      Pages 17-27
  3. Theoretical Aspects of Data Mining

    1. Rakkrit Duangsoithong, Terry Windeatt
      Pages 28-41
    2. Faraz Zaidi, Daniel Archambault, Guy Melançon
      Pages 42-56
    3. Angel Kuri-Morales, Edwin Aldana-Bobadilla
      Pages 57-70
    4. Petra Perner, Anja Attig
      Pages 71-85
    5. Konstantin Todorov, Peter Geibel, Kai-Uwe Kühnberger
      Pages 86-100
    6. Ayhan Demiriz, Gurdal Ertek, Tankut Atan, Ufuk Kula
      Pages 101-114
    7. Santhana Chaimontree, Katie Atkinson, Frans Coenen
      Pages 115-127
    8. Vasudha Bhatnagar, Sangeeta Ahuja
      Pages 143-157
    9. Samad Gahderi Mojaveri, Esmaeil Mirzaeian, Zarrintaj Bornaee, Saeed Ayat
      Pages 158-164
  4. Multimedia Data Mining

    1. Yevgeniy Bodyanskiy, Paul Grimm, Sergey Mashtalir, Vladimir Vinarski
      Pages 165-173
    2. Benjamin Mund, Karl-Heinz Steinke
      Pages 174-185
    3. Rosanne Vetro, Dan A. Simovici
      Pages 210-221
    4. Yanbo J. Wang, Fan Li, Frans Coenen, Robert Sanderson, Qin Xin
      Pages 222-236
  5. Data Mining in Marketing

    1. Satu Tamminen, Ilmari Juutilainen, Juha Röning
      Pages 263-276
    2. Adam Jocksch, José Nelson Amaral, Marcel Mitran
      Pages 277-291
    3. Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barbro Back
      Pages 292-307
    4. Cristián Bravo, Nicolás Figueroa, Richard Weber
      Pages 323-337
  6. Data Mining in Industrial Processes

    1. Gissel Velarde, Christian Binroth
      Pages 350-361
    2. Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille
      Pages 362-375
    3. Florent Martin, Nicolas Méger, Sylvie Galichet, Nicolas Becourt
      Pages 376-389
    4. Ying Zhao, Xiang Liu, Siqing Gan, Weimin Zheng
      Pages 390-404
    5. Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
      Pages 405-417
  7. Data Mining in Medicine

    1. Vassiliki Somaraki, Deborah Broadbent, Frans Coenen, Simon Harding
      Pages 418-431
    2. Wiesław Paja, Mariusz Wrzesień
      Pages 442-449
  8. Data Mining in Agriculture

    1. Puteri N. E. Nohuddin, Rob Christley, Frans Coenen, Christian Setzkorn
      Pages 464-475
  9. WebMining

    1. Paulo Cortez, André Correia, Pedro Sousa, Miguel Rocha, Miguel Rio
      Pages 476-489
    2. Rafael Schirru, Darko Obradović, Stephan Baumann, Peter Wortmann
      Pages 490-504
    3. Jonas Poelmans, Guido Dedene, Gerda Verheyden, Herman Van der Mussele, Stijn Viaene, Edward Peters
      Pages 505-517
    4. Khaled Bashir Shaban, Joannes Chan, Raymond Szeto
      Pages 518-528
    5. Ayesh Alshukri, Frans Coenen, Michele Zito
      Pages 529-543
  10. Data Mining in Finance

    1. Yihao Zhang, Mehmet A. Orgun, Rohan Baxter, Weiqiang Lin
      Pages 544-557
    2. Sebastián Maldonado, Gonzalo Paredes
      Pages 558-571
  11. Aspects of Data Mining

    1. Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire
      Pages 584-594
    2. Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo, Hsiu-Chuan Huang
      Pages 595-605
    3. Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Yong Peng, Golam Ashraf
      Pages 606-616
  12. Data Mining for Network Performance Monitoring

    1. Rafael García, Luis Llana, Constantino Malagón, Jesús Pancorbo
      Pages 632-642

About these proceedings

Introduction

These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Extended versions of selected papers will appear in the international journal Trans- tions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). Ten papers were selected for poster presentations and are published in the ICDM Poster Proceeding Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA. The Workshop on Data Mining in Agriculture ran for the first time this year. All workshop papers will be published in the workshop proceedings by ibai-publishing (www.ibai-publishing.org). Selected papers of CBR-MD will be published in a special issue of the international journal Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

Keywords

Clustering Multimedia bioinformatics classification data mining fuzzy logic graph mining knowledge learning machine learning neural network process mining proving self-organizing map supervised learning

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institut für Bildverarbeitung und angewandte InformatikLeipzigDeutschland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-14400-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-14399-1
  • Online ISBN 978-3-642-14400-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site