Below is the complete list of accepted papers; congratulations to the authors!

Papers accepted as regular talks or posters are published in the LNCS proceedings. Horizon papers are not published in the proceedings, but the authors are given the opportunity to give a longer talk at the conference.

The papers are listed in no particular order.

Regular talks

 

  • A Bayesian Approach for Identifying Multivariate Differences Between Groups
    Yuriy Sverchkov (University of Wisconsin–Madison) and Gregory Cooper (University of Pittsburgh)
    Abstract
  • I-Louvain: an attributed graph clustering method
    Christine Largeron (Université de Lyon), Mathias Géry (LaHC, Université Jean Monnet, Saint-Etienne (France)), David Combe (Laboratoire Hubert Curien) and Elöd Egyed-Zsigmond (LIRIS)
    Abstract
  • Continuous and Discrete Deep Classifiers for Data Integration
    Nataliya Sokolovska (University Paris 6, INSERM U872)
    Abstract
  • Diversity-driven Widening of Hierarchical Agglomerative Clustering
    Alexander Fillbrunn (University of Konstanz) and Michael R. Berthold (University of Konstanz)
    Abstract
  • Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
    Fabian Gieseke (Radboud University Nijmegen), Tapio Pahikkala (University of Turku) and Tom Heskes (Radboud University Nijmegen)
    Abstract
  • Segregation Discovery in a Social Network of Companies
    Alessandro Baroni (Dipartimento di Informatica, Università di Pisa) and Salvatore Ruggieri (Dipartimento di Informatica, Università di Pisa)
    Abstract
  • Probabilistic Active Learning in Data Streams
    Daniel Kottke (Knowledge Management and Discovery Lab, University Magdeburg), Georg Krempl (Knowledge Management and Discovery Lab, University Magdeburg) and Myra Spiliopoulou (Knowledge Management and Discovery Lab, University Magdeburg)
    Abstract
  • Fast Algorithm Selection using Learning Curves
    Jan N. van Rijn (Leiden University), Salisu Mamman Abdulrahman (University of Porto), Pavel Brazdil (University of Porto) and Joaquin Vanschoren (K.U.Leuven)
    Abstract
  • Diagonal Co-clustering Algorithm for Document-Word Partitioning
    Charlotte Laclau (LIPADE, Universite Paris Descartes) and Mohamed Nadif (LIPADE, Universite Paris Descartes)
    Abstract
  • Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
    Georgios Balikas (University Grenoble Alpes), Ioannis Partalas (University Grenoble Alpes – LIG), Eric Gaussier (University Grenoble Alpes – LIG), Rohit Babbar (Max Plank Institute for Intelligent Systems) and Massih-Reza Amini (University Grenoble Alpes – LIG)
    Abstract
  • Automatically Discovering Offensive Patterns in Soccer Match Data
    Jan Van Haaren (KU Leuven), Vladimir Dzyuba (KU Leuven), Siebe Hannosset (Club Brugge KV) and Jesse Davis (KU Leuven)
    Abstract
  • VoQs: A Web Application for Visualization of Questionnaire Surveys
    Xiaowei Zhang (Helmholtz Centre for Infection Research), Frank Klawonn (Helmholtz Centre for Infection Research), Lorenz Grigull (Medical University Hanover) and Werner Lechner (Improved Medical Diagnostics, Pte. Ltd.)
    Abstract

Regular posters

 

  • Implicitly Constrained Semi-Supervised Least Squares Classification
    Jesse H. Krijthe (Delft University of Technology/Leiden University) and Marco Loog (Delft University of Technology/University of Copenhagen)
    Abstract
  • A Comparative Study of Clustering Methods with Multinomial Distribution
    Md Abul Hasnat (ERIC Lab, University Lyon 2), Julien Velcin (ERIC Lab, University Lyon 2), Stéphane Bonnevay (University Lyon 1) and Julien Jacques (ERIC Lab, University Lyon 2)
    Abstract
  • A parallel distributed processing algorithm for image feature extraction
    Alexander Belousov (Ariel University) and Joel Ratsaby (Ariel University)
    Abstract
  • Exploratory topic modeling with distributional semantics
    Samuel Rönnqvist (Turku Centre for Computer Science)
    Abstract
  • Constraint-Based Querying for Bayesian Network Exploration
    Behrouz Babaki (KU Leuven), Tias Guns (KU Leuven), Siegfried Nijssen (KU Leuven) and Luc De Raedt (KU Leuven)
    Abstract
  • Using entropy as a measure of acceptance for multi-label classification
    Laurence Park (University of Western Sydney) and Simeon Simoff (University of Western Sydney)
    Abstract
  • Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
    Thilina Rathnayake (University of Moratuwa), Maheshakya Wijewardena (University of Moratuwa), Thimal Kempitiya (University of Moratuwa), Kevin Rathnasekara (University of Moratuwa), Thushan Ganegedara (University of Moratuwa), Amal Perera (University of Moratuwa) and Damminda Alahakoon (La Trobe University)
    Abstract
  • Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels
    Mohammad Nozari Zarmehri (INESC Porto) and Carlos Soares (University of Porto)
    Abstract
  • A first-order-logic based model for grounded language learning
    Leonor Becerra-Bonache (Université Jean Monnet), Hendrik Blockeel (K.U. Leuven), Maria Galvan (Université Jean Monnet) and François Jacquenet (Université Jean Monnet)
    Abstract
  • Slower can be faster: The iRetis incremental model tree learner
    Denny Verbeeck (KULeuven) and Hendrik Blockeel (K.U. Leuven)
    Abstract
  • Modeling concept drift: A probabilistic graphical model based approach
    Hanen Borchani (Aalborg University), Ana M. Martinez (Aalborg University), Andres Masegosa (The Norwegian University of Science and Technology), Helge Langseth (The Norwegian University of Science and Technology), Thomas D. Nielsen (Aalborg University), Antonio Salmeron (University of Almeria), Antonio Fernandez (Banco de Credito Cooperativo), Anders L. Madsen (HUGIN EXPERT A/S) and Ramon Saez (Banco de Credito Cooperativo)
    Abstract
  • Optimally Weighted Cluster Kriging for Big Data Regression
    Bas van Stein (Leiden University), Hao Wang (Leiden University), Wojtek Kowalczyk (Leiden University), Michael Emmerich (Leiden University) and Thomas Bäck (Leiden University)
    Abstract
  • Assigning Geo-Relevance of Sentiments Mined from Location-Based Social Media Posts
    Randall Sanborn (University of Michigan – Flint), Michael Farmer (University of Michigan – Flint) and Syagnik Banerjee (University of Michigan – Flint)
    Abstract
  • On Binary Reduction of Large-scale Multiclass Classification Problems
    Bikash Joshi (University Grenoble Alpes – LIG), Massih-Reza Amini (University Grenoble Alpes – LIG), Ioannis Partalas (University Grenoble Alpes – LIG), Liva Ralaivola (University Aix-Marseille – LIF), Nicolas Usunier (Fracebook Research) and Eric Gaussier (University Grenoble Alpes – LIG)
    Abstract
  • Class-based outlier detection: staying zombies or awaiting for resurrection?
    Leona Nezvalova (KD Lab, Faculty of Informatics, Masaryk University), Lubos Popelinsky (KD Lab, Faculty of Informatics, Masaryk University), Luis Torgo (F.Sci. U.Porto) and Karel Vaculik (KD Lab, Faculty of Informatics, Masaryk University)
    Abstract
  • Data analytics and optimisation for assessing a ride sharing system
    Vincent Armant (The Insight Center for Data Analytics), John Horan (Insight Centre), Nahid Mahbub (The Insight Center for Data Analytics) and Ken Brown (University College Cork)
    Abstract
  • Time Series Classification with Representation Ensembles
    Rafael Giusti (Universidde de São Paulo), Diego Silva (USP) and Gustavo Batista (USP)
    Abstract

Horizon talks

 

  • Towards a Data Science Collaboratory
    Joaquin Vanschoren (K.U.Leuven), Bernd Bischl (Ludwig-Maximilians-University Munich), Frank Hutter (Albert-Ludwigs-Universitat Freiburg), Michele Sebag (Universite Paris Sud), Balazs Kegl (Universite Paris Sud), Matthias Schmid (Universitat Bonn), Giulio Napolitano (Universitat Bonn), Katy Wolstencroft (Leiden University), Alan R. Williams (University of Manchester) and Neil Lawrence (University of Sheffield)
    Abstract
  • When Learning Indeed Changes the World: Diagnosing Prediction-Induced Drift
    Georg Krempl (Knowledge Management and Discovery Lab, University Magdeburg), David Bodnar (University Magdeburg) and Anita Hrubos (University Magdeburg)
    Abstract
  • The Data Problem in Data Mining
    Albrecht Zimmermann
    Abstract