Call for Papers

We solicit high-quality original, previously unpublished, research papers in all areas of Machine Learning for BigData Analysis problems. Tentative topics of interest include, but are not limited to:

  • Classification and regression methods,
  • Semi-supervised learning,
  • Unsupervised learning,
  • Clustering,
  • Graph and link mining,
  • Convex optimisation based approaches
  • Distributed optimisation based approaches
  • Matrix and tensor methods
  • Bayesian Non-parametric models
  • Social network analysis
  • Recommender systems
  • Feature selection
  • Online advertising
  • Anomaly detection
  • Fault diagnostics
  • Engineering applications
We invite well written survey papers in all of the above topics and related areas. Application oriented papers which make innovative technical contributions are also welcome.