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Discovery Science

12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. João Gama

    1. Faculty of Economics; Rua Dr. Roberto Frias, University of Porto, Porto, Portugal

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  2. Vítor Santos Costa

    1. DCC-FC, Universidade do Porto, Portugal

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  3. Alípio Mário Jorge

    1. LIACC/FEP, Universidade do Porto, Portugal

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  4. Pavel B. Brazdil

    1. LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Porto, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5808)

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

Included in the following conference series:

Conference proceedings info: DS 2009.

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Table of contents (40 papers)

  1. Front Matter

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  2. Inference and Learning in Planning (Extended Abstract)

    • Hector Geffner
    Pages 1-12

  3. Mining Heterogeneous Information Networks by Exploring the Power of Links

    • Jiawei Han
    Pages 13-30

  4. Learning on the Web

    • Fernando C. N. Pereira
    Pages 31-31

  5. Learning and Domain Adaptation

    • Yishay Mansour
    Pages 32-34

  6. The Two Faces of Active Learning

    • Sanjoy Dasgupta
    Pages 35-35

  7. An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting

    • Annalisa Appice, Michelangelo Ceci, Donato Malerba
    Pages 36-50

  8. Detecting New Kinds of Patient Safety Incidents

    • James Bentham, David J. Hand
    Pages 51-65

  9. Using Data Mining for Wine Quality Assessment

    • Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis
    Pages 66-79

  10. MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio

    • Yasser EL-Manzalawy, Vasant Honavar
    Pages 80-91

  11. On the Complexity of Constraint-Based Theory Extraction

    • Mario Boley, Thomas Gärtner
    Pages 92-106

  12. Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool

    • Sherri Harms, Tsegaye Tadesse, Brian Wardlow
    Pages 107-120

  13. Regression Trees from Data Streams with Drift Detection

    • Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevik
    Pages 121-135

  14. Mining Frequent Bipartite Episode from Event Sequences

    • Takashi Katoh, Hiroki Arimura, Kouichi Hirata
    Pages 136-151

  15. CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks

    • Min-Soo Kim, Jiawei Han
    Pages 152-167

  16. Learning Large Margin First Order Decision Lists for Multi-Class Classification

    • Huma Lodhi, Stephen Muggleton, Mike J. E. Sternberg
    Pages 168-183

  17. Centrality Measures from Complex Networks in Active Learning

    • Robson Motta, Alneu de Andrade Lopes, Maria Cristina F. de Oliveira
    Pages 184-196

  18. Player Modeling for Intelligent Difficulty Adjustment

    • Olana Missura, Thomas Gärtner
    Pages 197-211

  19. Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images

    • Susana Nascimento, Pedro Franco
    Pages 212-226

  20. Discovering the Structures of Open Source Programs from Their Developer Mailing Lists

    • Dinh Anh Nguyen, Koichiro Doi, Akihiro Yamamoto
    Pages 227-241
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Other volumes

  1. Discovery Science

Keywords

Editors and Affiliations

  • Faculty of Economics; Rua Dr. Roberto Frias, University of Porto, Porto, Portugal

    João Gama

  • DCC-FC, Universidade do Porto, Portugal

    Vítor Santos Costa

  • LIACC/FEP, Universidade do Porto, Portugal

    Alípio Mário Jorge

  • LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Porto, Portugal

    Pavel B. Brazdil

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