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  • Conference proceedings
  • © 2008

Machine Learning and Knowledge Discovery in Databases

European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5212)

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 2008.

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Table of contents (48 papers)

  1. Front Matter

  2. Regular Papers

    1. Exceptional Model Mining

      • Dennis Leman, Ad Feelders, Arno Knobbe
      Pages 1-16
    2. A Joint Topic and Perspective Model for Ideological Discourse

      • Wei-Hao Lin, Eric Xing, Alexander Hauptmann
      Pages 17-32
    3. Effective Pruning Techniques for Mining Quasi-Cliques

      • Guimei Liu, Limsoon Wong
      Pages 33-49
    4. A New Natural Policy Gradient by Stationary Distribution Metric

      • Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
      Pages 82-97
    5. Metric Learning: A Support Vector Approach

      • Nam Nguyen, Yunsong Guo
      Pages 125-136
    6. Support Vector Machines, Data Reduction, and Approximate Kernel Matrices

      • XuanLong Nguyen, Ling Huang, Anthony D. Joseph
      Pages 137-153
    7. Mixed Bregman Clustering with Approximation Guarantees

      • Richard Nock, Panu Luosto, Jyrki Kivinen
      Pages 154-169
    8. Hierarchical, Parameter-Free Community Discovery

      • Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu
      Pages 170-187
    9. A Genetic Algorithm for Text Classification Rule Induction

      • Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu
      Pages 188-203
    10. Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

      • Christian Plagemann, Kristian Kersting, Wolfram Burgard
      Pages 204-219
    11. Kernel-Based Inductive Transfer

      • Ulrich Rückert, Stefan Kramer
      Pages 220-233
    12. State-Dependent Exploration for Policy Gradient Methods

      • Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber
      Pages 234-249
    13. Client-Friendly Classification over Random Hyperplane Hashes

      • Shyamsundar Rajaram, Martin Scholz
      Pages 250-265
    14. Large-Scale Clustering through Functional Embedding

      • Frédéric Ratle, Jason Weston, Matthew L. Miller
      Pages 266-281
    15. Clustering Distributed Sensor Data Streams

      • Pedro Pereira Rodrigues, João Gama, Luís Lopes
      Pages 282-297

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

About this book

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access