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Machine Learning and Knowledge Discovery in Databases

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

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. José Luis Balcázar

    1. Departamento de Matemáticas, Estadística y Computación, Universidad de Cantabria, Santander, Spain

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  2. Francesco Bonchi

    1. Yahoo! Research Barcelona, Barcelona, Spain

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  3. Aristides Gionis

    1. Yahoo! Research Barcelona, Barcelona, Spain

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  4. Michèle Sebag

    1. TAO, CNRS-INRIA-LRI, Université Paris-Sud, Orsay, France

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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)

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Conference proceedings info: ECML PKDD 2010.

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Table of contents (44 papers)

  1. Front Matter

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  3. 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. A Concise Representation of Association Rules Using Minimal Predictive Rules

      • Iyad Batal, Milos Hauskrecht
      Pages 87-102

    7. Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs

      • François Bavaud
      Pages 103-118

    8. 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

    9. Leveraging Bagging for Evolving Data Streams

      • Albert Bifet, Geoff Holmes, Bernhard Pfahringer
      Pages 135-150

    10. ITCH: Information-Theoretic Cluster Hierarchies

      • Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther
      Pages 151-167

    11. Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis

      • Ilaria Bordino, Debora Donato, Ricardo Baeza-Yates
      Pages 168-183

    12. Process Mining Meets Abstract Interpretation

      • J. Carmona, J. Cortadella
      Pages 184-199

    13. Smarter Sampling in Model-Based Bayesian Reinforcement Learning

      • Pablo Samuel Castro, Doina Precup
      Pages 200-214
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Other volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

  3. Machine Learning and Knowledge Discovery in Databases

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

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