Human Factors in Information Visualization and Decision Support Systems

Holzinger, A. (Participant)

Activity: Participation in or organisation ofWorkshop, seminar or course (Participation in/Organisation of)

Description

arious approaches have been developed to grasp Big Data. Machine Learning addresses Big Data by using algorithmic approaches to tackle the sheer size and complexity of data. On the other hand, Visual Analytics is a field that tries to combine information visualization – the science of visually displaying quantitative information – with nearby fields, such as knowledge discovery, cognitive and perceptual sciences, statistical analysis. Bringing those two approaches together is the aim of Human-Computer Interaction and Knowledge Discovery in Databases. The overall aim is to support decision-making on the basis of data. Or, how do we get from large amounts of data from the digital world into actionable knowledge in the mental world?
Period7 Sep 2016
Event typeWorkshop
Conference numberMCI-WS11
LocationAachen, Germany

Keywords

  • Machine Learning
  • Decision Support
  • Recommender Systems
  • Computer Science Applications
  • Information, Communication & Computing
  • Basic - Fundamental (Grundlagenforschung)
  • Experimental