Advances in Intelligent Data Analysis XVI

1. Front Matter

   Pages I-XIII

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2. Improving Chairlift Security with Deep Learning

   • Kevin Bascol, Rémi Emonet, Elisa Fromont, Raluca Debusschere

   Pages 1-13

3. Discovering Motifs with Variants in Music Databases

   • Riyadh Benammar, Christine Largeron, Véronique Eglin, Myléne Pardoen

   Pages 14-26

4. Biclustering Multivariate Time Series

   • Ricardo Cachucho, Siegfried Nijssen, Arno Knobbe

   Pages 27-39

5. Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects

   • Rafael A. F. do Carmo, Soong Moon Kang, Ricardo Silva

   Pages 40-51

6. Regression Tree for Bandits Models in A/B Testing

   • Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

   Pages 52-62

7. Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases

   • Fabon Dzogang, James Goulding, Stafford Lightman, Nello Cristianini

   Pages 63-74

8. Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features

   • Khalid Eltayef, Yongmin Li, Bashir I. Dodo, Xiaohui Liu

   Pages 75-86

9. Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening

   • Alexander Fillbrunn, Leonard Wörteler, Michael Grossniklaus, Michael R. Berthold

   Pages 87-98

10. Interactive Pattern Sampling for Characterizing Unlabeled Data

    • Arnaud Giacometti, Arnaud Soulet

    Pages 99-111

11. Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories

    • Fragkiskos Gryllakis, Nikos Pelekis, Christos Doulkeridis, Stylianos Sideridis, Yannis Theodoridis

    Pages 112-124

12. Natural Language Analysis of Online Health Forums

    • Abul Hasan, Mark Levene, David J. Weston

    Pages 125-137

13. Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes

    • Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini

    Pages 138-148

14. KAPMiner: Mining Ordered Association Rules with Constraints

    • Isak Karlsson, Panagiotis Papapetrou, Lars Asker

    Pages 149-161

15. A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics

    • Xiaowei Kortum, Lorenz Grigull, Werner Lechner, Frank Klawonn

    Pages 162-172

16. ABIDE: Querying Time-Evolving Sequences of Temporal Intervals

    • Orestis Kostakis, Panagiotis Papapetrou

    Pages 173-185

17. The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950

    • Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Nello Cristianini

    Pages 186-197

18. Learning DTW-Preserving Shapelets

    • Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg

    Pages 198-209

19. Droplet Ensemble Learning on Drifting Data Streams

    • Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki

    Pages 210-222

20. Predictive Clustering Trees for Hierarchical Multi-Target Regression

    • Vanja Mileski, Sašo Džeroski, Dragi Kocev

    Pages 223-234

This book constitutes the conference proceedings of the 16th International Symposium on Intelligent Data Analysis, which was held in October 2017 in London, UK.



The 28 full papers presented in this book were carefully reviewed and selected from 66 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. IDA solicits papers on all aspects of intelligent data analysis, including papers on intelligent support for modelling and analyzing data from complex, dynamical systems.

• artificial intelligence
• data mining
• learning systems
• classification
• information retrieval
• semantics
• learning algorithms
• supervised learning
• SVM
• association rules
• clustering
• social networks

• Imperial College London, London, United Kingdom

  Niall Adams

• Brunel University London, Uxbridge, United Kingdom

  Allan Tucker

• Birkbeck, University of London, London, United Kingdom

  David Weston

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