PhD posters are part of the PhD Poster & Video track and will be presented during the poster session on Thursday.

Authors are invited to submit a video to accompany the poster. Videos will be displayed during the breaks, and the best video presentation, as chosen by the symposium attendees, will be awarded the IDA 2014 Video Prize. Refer to the author instructions for more information.

  • The impact of calendar events on day ahead electricity load prediction: a machine learning approach
    Kevin Milis and Herbert Peremans
  • Better Classification in Rehabilitation with Dynamic Bayesian Networks
    Manxia Liu, Arjen Hommersom and Maarten van der Heijden
  • Symbolic Time Series Representation for Stream Data Processing
    Jakub Ševcech and Mária Bieliková
  • Collaborative Filtering with Binary, Positive-Only Data
    Koen Verstrepen and Bart Goethals
  • SLIMMER, outsmarting SLIM
    Manan Gandhi and Jilles Vreeken
  • Using Social Network Data in a B2B setting: Linking Board of Directors to Predict Churn
    Vincent Vercruyssen, Julie Moeyersoms and David Martens
  • Relational Decomposition
    Sergey Paramonov, Luc De Raedt and Matthijs van Leeuwen
  • Subgraph Isomorphism for Bounded Treewidth Patterns
    Ashraf M. Kibriya, Thomas Fannes and Jan Ramon
  • Weighted Relevance Feedback: Improving Readability of Search Results Ranking Using Users’ Expertise
    Julia Kiseleva, Mykola Pechenizkiy, Djoerd Hiemstra, Robin Aly and Paul De Bra
  • Look before you leap: Some insights into learner evaluation with cross-validation
    Gitte Vanwinckelen and Hendrik Blockeel
  • Analysing IDA 2014 reviewing process
    Vladimir Dzyuba and Matthijs van Leeuwen
  • Subgraph Matching for Attributed Single Large Multigraphs
    Vijay Ingalalli, Dino Ienco and Pascal Poncelet
  • GriMa: a grid mining algorithm for Bag-of-Graph-based image classification
    Romain Deville, Elisa Fromont, Baptiste Jeudy and Christine Solnon
  • Learning Relational Dependency Networks in Hybrid Domains
    Irma Ravkic, Jan Ramon and Jesse Davis
  • Building an urban traffic prediction model from sensor network data
    Julien Salotti, Serge Fenet and Yannick Perret