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Discovery Science

16th International Conference, DS 2013, Singapore, October 6-9, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Johannes Fürnkranz

    1. TU Darmstadt, Germany

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  2. Eyke Hüllermeier

    1. Phillips-Universität Marburg, Germany

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  3. Tomoyuki Higuchi

    1. The Institute of Statistical Mathematics, Tokyo, Japan

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  • Conference proceedings of the International Conference on Discovery Science, DS 2013

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8140)

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

Included in the following conference series:

Conference proceedings info: DS 2013.

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About this book

This book constitutes the proceedings of the 16th International Conference on Discovery Science, DS 2013, held in Singapore in October 2013, and co-located with the International Conference on Algorithmic Learning Theory, ALT 2013. The 23 papers presented in this volume were carefully reviewed and selected from 52 submissions. They cover recent advances in the development and analysis of methods of automatic scientific knowledge discovery, machine learning, intelligent data analysis, and their application to knowledge discovery.

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Table of contents (23 papers)

  1. Front Matter

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  2. Mixture Models from Multiresolution 0-1 Data

    • Prem Raj Adhikari, Jaakko Hollmén
    Pages 1-16

  3. Model Tree Ensembles for Modeling Dynamic Systems

    • Darko Aleksovski, Juš Kocijan, Sašo Džeroski
    Pages 17-32

  4. Fast and Scalable Image Retrieval Using Predictive Clustering Trees

    • Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Sašo Džeroski
    Pages 33-48

  5. Avoiding Anomalies in Data Stream Learning

    • João Gama, Petr Kosina, Ezilda Almeida
    Pages 49-63

  6. Generalizing from Example Clusters

    • Pan Hu, Celine Vens, Bart Verstrynge, Hendrik Blockeel
    Pages 64-78

  7. Clustering Based Active Learning for Evolving Data Streams

    • Dino Ienco, Albert Bifet, Indrė Žliobaitė, Bernhard Pfahringer
    Pages 79-93

  8. Robust Crowd Labeling Using Little Expertise

    • Faiza Khan Khattak, Ansaf Salleb-Aouissi
    Pages 94-109

  9. A New Approach to String Pattern Mining with Approximate Match

    • Tetsushi Matsui, Takeaki Uno, Juzoh Umemori, Tsuyoshi Koide
    Pages 110-125

  10. OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process

    • Panče Panov, Larisa Soldatova, Sašo Džeroski
    Pages 126-140

  11. A Wordification Approach to Relational Data Mining

    • Matic Perovšek, Anže Vavpetič, Bojan Cestnik, Nada Lavrač
    Pages 141-154

  12. Multi-interval Discretization of Continuous Attributes for Label Ranking

    • Cláudio Rebelo de Sá, Carlos Soares, Arno Knobbe, Paulo Azevedo, Alípio Mário Jorge
    Pages 155-169

  13. Identifying Super-Mediators of Information Diffusion in Social Networks

    • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
    Pages 170-184

  14. SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting

    • Wilfried Segretier, Martine Collard
    Pages 185-200

  15. A Dynamic Programming Algorithm for Learning Chain Event Graphs

    • Tomi Silander, Tze-Yun Leong
    Pages 201-216

  16. Mining Interesting Patterns in Multi-relational Data with N-ary Relationships

    • Eirini Spyropoulou, Tijl De Bie, Mario Boley
    Pages 217-232

  17. Learning Hierarchical Multi-label Classification Trees from Network Data

    • Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Sašo Džeroski
    Pages 233-248

  18. A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications

    • Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar
    Pages 249-264

  19. Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis

    • Jovan Tanevski, Ljupčo Todorovski, Yannis Kalaidzidis, Sašo Džeroski
    Pages 265-280

  20. Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems

    • Takahisa Toda
    Pages 281-293
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Other volumes

  1. Discovery Science

Editors and Affiliations

  • TU Darmstadt, Germany

    Johannes Fürnkranz

  • Phillips-Universität Marburg, Germany

    Eyke Hüllermeier

  • The Institute of Statistical Mathematics, Tokyo, Japan

    Tomoyuki Higuchi

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