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Advances in Intelligent Data Analysis XIII

13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Hendrik Blockeel

    1. Department of Computer Science, KU Leuven, Heverlee, Belgium

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  2. Matthijs Leeuwen

    1. Department of Computer Science, KU Leuven, Heverlee, Belgium

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  3. Veronica Vinciotti

    1. Brunel University, Uxbridge, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8819)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDA 2014.

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Table of contents (33 papers)

  1. Front Matter

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  2. Selected Contributions

    1. Malware Phylogenetics Based on the Multiview Graphical Lasso

      • Blake Anderson, Terran Lane, Curtis Hash
      Pages 1-12

    2. Modeling Stationary Data by a Class of Generalized Ornstein-Uhlenbeck Processes: The Gaussian Case

      • Argimiro Arratia, Alejandra Cabaña, Enrique M. Cabaña
      Pages 13-24

    3. An Approach to Controlling the Runtime for Search Based Modularisation of Sequential Source Code Check-ins

      • Mahir Arzoky, Stephen Swift, Steve Counsell, James Cain
      Pages 25-36

    4. Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD

      • Christian Borgelt, David Picado-Muiño
      Pages 37-48

    5. From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors

      • Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan et al.
      Pages 49-60

    6. Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code ‘Ripples’

      • Steve Counsell, Allan Tucker, Stephen Swift, Guy Fitzgerald, Jason Peters
      Pages 61-71

    7. ApiNATOMY: Towards Multiscale Views of Human Anatomy

      • Bernard de Bono, Pierre Grenon, Michiel Helvensteijn, Joost Kok, Natallia Kokash
      Pages 72-83

    8. Granularity of Co-evolution Patterns in Dynamic Attributed Graphs

      • Élise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
      Pages 84-95

    9. Multi-user Diverse Recommendations through Greedy Vertex-Angle Maximization

      • Pedro Dias, Joao Magalhaes
      Pages 96-107

    10. ERMiner: Sequential Rule Mining Using Equivalence Classes

      • Philippe Fournier-Viger, Ted Gueniche, Souleymane Zida, Vincent S. Tseng
      Pages 108-119

    11. Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder

      • Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn
      Pages 120-130

    12. The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction

      • Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira
      Pages 131-142

    13. Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships

      • Mohammad Jaber, Panagiotis Papapetrou, Sven Helmer, Peter T. Wood
      Pages 143-154

    14. Modeling Daily Profiles of Solar Global Radiation Using Statistical and Data Mining Techniques

      • Pedro F. Jiménez-Pérez, Llanos Mora-López
      Pages 155-166

    15. Identification of Bilingual Segments for Translation Generation

      • Kavitha Karimbi Mahesh, Luís Gomes, José Gabriel P. Lopes
      Pages 167-178

    16. Model-Based Time Series Classification

      • Alexios Kotsifakos, Panagiotis Papapetrou
      Pages 179-191

    17. Fast Simultaneous Clustering and Feature Selection for Binary Data

      • Charlotte Laclau, Mohamed Nadif
      Pages 192-202

    18. Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling

      • Sandy Moens, Mario Boley
      Pages 203-214

    19. Resampling Approaches to Improve News Importance Prediction

      • Nuno Moniz, Luís Torgo, Fátima Rodrigues
      Pages 215-226
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  1. Advances in Intelligent Data Analysis XIII

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About this book

This book constitutes the refereed conference proceedings of the 13th International Conference on Intelligent Data Analysis, which was held in October/November 2014 in Leuven, Belgium. The 33 revised full papers together with 3 invited papers were carefully reviewed and selected from 70 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.

Editors and Affiliations

  • Department of Computer Science, KU Leuven, Heverlee, Belgium

    Hendrik Blockeel, Matthijs Leeuwen

  • Brunel University, Uxbridge, UK

    Veronica Vinciotti

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