Four types of Big Data analytics can be defined: Prescriptive Analytics, Predictive Analytics, Diagnostic Analytics and Descriptive Analytics.

Data Analytics is applied using online and scalable machine learning algorithms, which are able to continuously update the learned models and to work on distributed systems. At the same time, Real-time Data Analytics dramatically changes the ways systems can use data to predict outcomes and suggest alternatives. Instead of putting together conjectures based on a series of past events and recent scans, systems working in real-time can deliver insights on what is going on right now. In addition, new machine-learning systems have the ability to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future.

Current Research Directions:

  • Machine Learning for Big Data
  • Natural Language Processing for low resource languages and concrete application domains
  • Explainable AI

Targeted applications:

  • e-health
  • web data analytics
  • disinformation detection etc.

For further information: prof. Ivan Koychev, email: