Advertisement

Discovery Science

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

  • Sašo Džeroski
  • Panče Panov
  • Dragi Kocev
  • Ljupčo Todorovski
Conference proceedings DS 2014

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8777)

Table of contents

  1. Front Matter
    PDF
  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
  21. Resampling-Based Framework for Estimating Node Centrality of Large Social Network
    Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
    Pages 228-239
  22. Detecting Maximum k-Plex with Iterative Proper ℓ-Plex Search
    Yoshiaki Okubo, Masanobu Matsudaira, Makoto Haraguchi
    Pages 240-251
  23. Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data
    Bidyut Kr. Patra, Raimo Launonen, Ville Ollikainen, Sukumar Nandi
    Pages 252-263
  24. Failure Prediction – An Application in the Railway Industry
    Pedro Pereira, Rita P. Ribeiro, João Gama
    Pages 264-275
  25. Wind Power Forecasting Using Time Series Cluster Analysis
    Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba
    Pages 276-287
  26. Feature Selection in Hierarchical Feature Spaces
    Petar Ristoski, Heiko Paulheim
    Pages 288-300
  27. Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology
    Neda Trifonova, Daniel Duplisea, Andrew Kenny, David Maxwell, Allan Tucker
    Pages 301-312
  28. An Efficient Algorithm for Enumerating Chordless Cycles and Chordless Paths
    Takeaki Uno, Hiroko Satoh
    Pages 313-324
  29. Algorithm Selection on Data Streams
    Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
    Pages 325-336
  30. Sparse Coding for Key Node Selection over Networks
    Ye Xu, Dan Rockmore
    Pages 337-349
  31. Variational Dependent Multi-output Gaussian Process Dynamical Systems
    Jing Zhao, Shiliang Sun
    Pages 350-361
  32. Erratum: 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 E1-E1
  33. Back Matter
    PDF

About these proceedings

Introduction

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.

Keywords

algorithms artificial intelligence data mining information retrieval intelligent data analysis knowledge discovery machine learning machine learning theory pattern mining recommendation systems recommender systems

Editors and affiliations

  • Sašo Džeroski
    • 1
  • Panče Panov
    • 1
  • Dragi Kocev
    • 1
  • Ljupčo Todorovski
    • 2
  1. 1.Department of Knowledge TechnologiesJožef Stefan InstituteLjubljanaSlovenia
  2. 2.Faculty of AdministrationUniversity of LjubljanaLjubljanaSlovenia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11812-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11811-6
  • Online ISBN 978-3-319-11812-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site