Journal of Data Mining and knowledge Engineering

The Journal of Data Mining and Knowledge Engineering is an interdisciplinary journal focusing upon methodologies for extracting useful knowledge from data. The ongoing rapid growth of online data due to the Internet and the widespread use of databases have created an immense need for DKE methodologies.

The challenge of extracting knowledge from data draws upon research in (but not limited to)

  • Statistics,
  • Databases,
  • Pattern recognition,
  • Machine learning,
  • Data visualization,
  • Optimization, and
  • High-performance computing, to deliver advanced business intelligence and web discovery solutions.