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Discovery Science

17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Sašo Džeroski

    1. Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

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  2. Panče Panov

    1. Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

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  3. Dragi Kocev

    1. Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

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  4. Ljupčo Todorovski

    1. Faculty of Administration, University of Ljubljana, Ljubljana, Slovenia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8777)

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

Included in the following conference series:

Conference proceedings info: DS 2014.

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Table of contents (31 papers)

  1. Front Matter

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  2. Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization

    • Prem Raj Adhikari, Anže Vavpetič, Jan Kralj, Nada Lavrač, Jaakko Hollmén
    Pages 1-12

  3. Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market

    • Alya Al Nasseri, Allan Tucker, Sergio de Cesare
    Pages 13-24

  4. Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network

    • Nino Antulov-Fantulin, Matko Bošnjak, Vinko Zlatić, Miha Grčar, Tomislav Šmuc
    Pages 25-36

  5. Predicting Sepsis Severity from Limited Temporal Observations

    • Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic
    Pages 37-48

  6. Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining

    • Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba
    Pages 49-61

  7. Antipattern Discovery in Ethiopian Bagana Songs

    • Darrell Conklin, Stéphanie Weisser
    Pages 62-72

  8. Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project

    • Tal Galili, Alexis Mitelpunkt, Netta Shachar, Mira Marcus-Kalish, Yoav Benjamini
    Pages 73-86

  9. Multilayer Clustering: A Discovery Experiment on Country Level Trading Data

    • Dragan Gamberger, Matej Mihelčić, Nada Lavrač
    Pages 87-98

  10. Medical Document Mining Combining Image Exploration and Text Characterization

    • Nicolau Gonçalves, Erkki Oja, Ricardo Vigário
    Pages 99-110

  11. Mining Cohesive Itemsets in Graphs

    • Tayena Hendrickx, Boris Cule, Bart Goethals
    Pages 111-122

  12. Mining Rank Data

    • Sascha Henzgen, Eyke Hüllermeier
    Pages 123-134

  13. Link Prediction on the Semantic MEDLINE Network

    • Andrej Kastrin, Thomas C. Rindflesch, Dimitar Hristovski
    Pages 135-143

  14. Medical Image Retrieval Using Multimodal Data

    • Ivan Kitanovski, Ivica Dimitrovski, Gjorgji Madjarov, Suzana Loskovska
    Pages 144-155

  15. Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers

    • Seiichi Kondo, Keisuke Otaki, Madori Ikeda, Akihiro Yamamoto
    Pages 156-167

  16. Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency

    • Georg Krempl, Daniel Kottke, Myra Spiliopoulou
    Pages 168-179

  17. Incremental Learning with Social Media Data to Predict Near Real-Time Events

    • Duc Kinh Le Tran, Cécile Bothorel, Pascal Cheung Mon Chan, Yvon Kermarrec
    Pages 180-191

  18. Stacking Label Features for Learning Multilabel Rules

    • Eneldo Loza Mencía, Frederik Janssen
    Pages 192-203

  19. Selective Forgetting for Incremental Matrix Factorization in Recommender Systems

    • Pawel Matuszyk, Myra Spiliopoulou
    Pages 204-215

  20. Providing Concise Database Covers Instantly by Recursive Tile Sampling

    • Sandy Moens, Mario Boley, Bart Goethals
    Pages 216-227
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Other volumes

  1. Discovery Science

Keywords

About this book

This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2014, held in Bled, Slovenia, in October 2014. The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The papers cover topics such as: computational scientific discovery; data mining and knowledge discovery; machine learning and statistical methods; computational creativity; mining scientific data; data and knowledge visualization; knowledge discovery from scientific literature; mining text, unstructured and multimedia data; mining structured and relational data; mining temporal and spatial data; mining data streams; network analysis; discovery informatics; discovery and experimental workflows; knowledge capture and scientific ontologies; data and knowledge integration; logic and philosophy of scientific discovery; and applications of computational methods in various scientific domains.

Editors and Affiliations

  • Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

    Sašo Džeroski, Panče Panov, Dragi Kocev

  • Faculty of Administration, University of Ljubljana, Ljubljana, Slovenia

    Ljupčo Todorovski

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