Scientific Programme

Final Programme (15 August 2015; updated session chairs 31 August 2015)

The programme is available under

Call for Papers (first call 2 July 2014)

We welcome Data Science contributions from all areas, in particular in the fields

  • Data Analysis and Statistics
  • Databases and Data Management
  • Machine Learning and Knowledge Discovery
  • Mathematical Foundations of Data Science
  • Actuarial Science
  • Archeology
  • Behavioral and Health Sciences
  • Digital Humanities and Social Sciences
  • Education
  • Engineering and Logistics
  • Finance and Economics
  • Geosciences
  • Linguistics
  • Marketing
  • Medicine, Psychology and the Life Sciences
  • Musicology
  • Natural Sciences

Topics in these areas include but are not restricted to the following:

  • Big data
  • Clustering, classification and regression
  • Data mining in finance
  • Data visualisation
  • Dimensionality reduction
  • Ensemble methods
  • Feature space reduction
  • Frequent pattern mining
  • Image analysis and computer vision
  • Knowledge representation and discovery
  • Market risk management
  • Massive and high dimensional data analysis
  • Methods for personalization and recommender systems
  • Methods for preference and positioning analysis
  • Methods for social networks and other large graphs
  • Multivariate statistical analysis of financial data
  • Online algorithms and algorithms for data streams
  • Prediction models/signatures
  • Regulation network inference
  • Statistical validation
  • Text mining & statistical natural language processing