Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I

  • Wray Buntine
  • Marko Grobelnik
  • Dunja Mladenić
  • John Shawe-Taylor
Conference proceedings ECML PKDD 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5781)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5781)

Table of contents

  1. Front Matter
  2. Invited Talks (Abstracts)

  3. Machine Learning Journal Abstracts

    1. Thorsten Joachims, Chun-Nam John Yu
      Pages 8-8
    2. Jeff Johns, Marek Petrik, Sridhar Mahadevan
      Pages 9-9
    3. Alexander Liu, Goo Jun, Joydeep Ghosh
      Pages 10-10
    4. Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaiz-Rodríguez, Jesús Cid-Sueiro
      Pages 12-12
  4. Data Mining and Knowledge Discovery Journal Abstracts

    1. Leman Akoglu, Christos Faloutsos
      Pages 13-28
    2. Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis
      Pages 29-29
    3. Henrik Grosskreutz, Stefan Rüping
      Pages 30-30
    4. Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
      Pages 32-32
    5. Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Orešič, Samuel Kaski
      Pages 33-33
    6. Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu
      Pages 34-34

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I
  2. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

About these proceedings

Introduction

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009.

The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper 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.

Keywords

classification clustering data mining database graph mining information retrieval knowledge discovery machine learning neural networks privacy reinforcement learning semantic web visualization web mining

Editors and affiliations

  • Wray Buntine
    • 1
  • Marko Grobelnik
    • 2
  • Dunja Mladenić
    • 2
  • John Shawe-Taylor
    • 3
  1. 1.NICTA, Locked Bag 8001, Canberra, 2601, Australia and Helsinki Institute of IT,Finland
  2. 2.Dept. of Knowledge TechnologiesJožef Stefan InstituteLjubljanaSlovenia
  3. 3.University College London, The Centre for Computational Statistics and Machine Learning Department of Computer ScienceLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04180-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04179-2
  • Online ISBN 978-3-642-04180-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book