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  • Conference proceedings
  • © 2010

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part I

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6321)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2010.

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  • ISBN: 978-3-642-15880-3
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Table of contents (44 papers)

  1. Front Matter

  2. Regular Papers

    1. Porting Decision Tree Algorithms to Multicore Using FastFlow

      • Marco Aldinucci, Salvatore Ruggieri, Massimo Torquati
      Pages 7-23
    2. On Classifying Drifting Concepts in P2P Networks

      • Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven Hoi
      Pages 24-39
    3. A Unified Approach to Active Dual Supervision for Labeling Features and Examples

      • Josh Attenberg, Prem Melville, Foster Provost
      Pages 40-55
    4. Vector Field Learning via Spectral Filtering

      • Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
      Pages 56-71
    5. Weighted Symbols-Based Edit Distance for String-Structured Image Classification

      • Cécile Barat, Christophe Ducottet, Elisa Fromont, Anne-Claire Legrand, Marc Sebban
      Pages 72-86
    6. Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks

      • Eva Besada-Portas, Sergey M. Plis, Jesus M. de la Cruz, Terran Lane
      Pages 119-134
    7. Leveraging Bagging for Evolving Data Streams

      • Albert Bifet, Geoff Holmes, Bernhard Pfahringer
      Pages 135-150
    8. ITCH: Information-Theoretic Cluster Hierarchies

      • Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther
      Pages 151-167
    9. Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis

      • Ilaria Bordino, Debora Donato, Ricardo Baeza-Yates
      Pages 168-183
    10. Process Mining Meets Abstract Interpretation

      • J. Carmona, J. Cortadella
      Pages 184-199
    11. Smarter Sampling in Model-Based Bayesian Reinforcement Learning

      • Pablo Samuel Castro, Doina Precup
      Pages 200-214

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III

Keywords

  • bio-informatics
  • classification
  • clustering
  • data analysis
  • data mining
  • dimensionality reduction
  • information retrieval
  • knowledge
  • knowledge discovery
  • learning
  • machine learning
  • multi-agent systems
  • semantic web
  • social networks
  • web mining

Editors and Affiliations

  • Departamento de Matemáticas, Estadística y Computación, Universidad de Cantabria, Santander, Spain

    José Luis Balcázar

  • Yahoo! Research Barcelona, Barcelona, Spain

    Francesco Bonchi, Aristides Gionis

  • TAO, CNRS-INRIA-LRI, Université Paris-Sud, Orsay, France

    Michèle Sebag

Bibliographic Information

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-15880-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 149.00
Price excludes VAT (USA)