Interactive and Visual Analytics

Humans and machines have to join strengths to make sense of complex data and address the challenges of data-driven decision making. Sometimes, a picture can say more than 1000 words. Usually, systems are only smart when they are able to understand the user. Always, understanding the machine is better than trusting a black box. We research and develop systems that bridge the gap between the user – layman or expert – and the machine.

Methods and techniques

  • Visual analytics: Interactive visual exploration, visual debugging und visual reporting
  • Data mining methods for sense-making, human-machine interaction, and collaborative decision support
  • Interactive data mining, adapting analytics to the users' needs and putting them in the driver’s seat.
  • Intelligent search and recommendation systems