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Discovery Science

15th International Conference, DS 2012, Lyon, France, October 29-31, 2012, Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Jean-Gabriel Ganascia

    1. LIP6 laboratory, Parix VI University, Paris, France

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  2. Philippe Lenca

    1. Telecom Bretagne, UMR 6285 Lab-STICC, Brest Cedex 3, France

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    You can also search for this editor in PubMed   Google Scholar

  3. Jean-Marc Petit

    1. INSA Lyon, UMR 5205 LIRIS, Villeurbanne Cedex, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7569)

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

Included in the following conference series:

Conference proceedings info: DS 2012.

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Table of contents (25 papers)

  1. Front Matter

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  2. Invited Talks

    1. Declarative Modeling for Machine Learning and Data Mining

      • Luc De Raedt
      Pages 1-1

    2. Recent Developments in Pattern Mining

      • Toon Calders
      Pages 2-2

  3. Tutorial

    1. Exploring Sequential Data

      • Gilbert Ritschard
      Pages 3-6

  4. Regular Papers

    1. Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers

      • Nguyen Lu Dang Khoa, Sanjay Chawla
      Pages 7-21

    2. Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting

      • Pierre Alquier, Xiaoyin Li
      Pages 22-36

    3. Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning

      • Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst
      Pages 37-51

    4. Towards Finding Relational Redescriptions

      • Esther Galbrun, Angelika Kimmig
      Pages 52-66

    5. Descriptive Modeling of Systemic Banking Crises

      • Dragan Gamberger, Dražen Lučanin, Tomislav Šmuc
      Pages 67-80

    6. A Trim Distance between Positions in Nucleotide Sequences

      • Shunsuke Makino, Takaharu Shimada, Kouichi Hirata, Kouki Yonezawa, Kimihito Ito
      Pages 81-94

    7. Data Squashing for HSV Subimages by an Autonomous Mobile Robot

      • Einoshin Suzuki, Emi Matsumoto, Asuki Kouno
      Pages 95-109

    8. Cohesive Co-evolution Patterns in Dynamic Attributed Graphs

      • Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
      Pages 110-124

    9. Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming

      • Rui Li, Stefan Kramer
      Pages 125-138

    10. HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning

      • Bruno M. Nogueira, Alípio M. Jorge, Solange O. Rezende
      Pages 139-153

    11. LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity

      • Bi-Ru Dai, Chih-Heng Chung
      Pages 154-168

    12. Fast Approximation Algorithm for the 1-Median Problem

      • Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
      Pages 169-183

    13. Online Co-regularized Algorithms

      • Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes
      Pages 184-193

    14. Fast Progressive Training of Mixture Models for Model Selection

      • Prem Raj Adhikari, Jaakko Hollmén
      Pages 194-208

    15. Including Spatial Relations and Scales within Sequential Pattern Extraction

      • Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire
      Pages 209-223

    16. Predicting Ramp Events with a Stream-Based HMM Framework

      • Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud
      Pages 224-238
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  1. Discovery Science

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About this book

This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012. The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery.

Editors and Affiliations

  • LIP6 laboratory, Parix VI University, Paris, France

    Jean-Gabriel Ganascia

  • Telecom Bretagne, UMR 6285 Lab-STICC, Brest Cedex 3, France

    Philippe Lenca

  • INSA Lyon, UMR 5205 LIRIS, Villeurbanne Cedex, France

    Jean-Marc Petit

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