Special Session on "Adaptive Data-Driven Modeling in Dynamic Environments and On-line Processes"

  • Edwin Lughofer (Session chair)
  • Moamar Sayed-Mouchaweh (Session chair)

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Description

The computerization of many life activities and the advances in data collection and storage technology lead to obtain mountains of data. They are collecte d to capture information about a phenomena or a process behavior. These data are rarely of direct b enefit. Thus, a set of techniques and tools are use d to extract useful information for decision support, pr ediction, exploration and understanding of phenomena governing the data sources. The informati on is mostly provided in terms of system models describing the behaviour of the actual system or ap plication under examination. Whenever dynamic process changes occur due to chang ing system states, varying operation modes, or environmental conditions, the information content e xtracted from older (batch off-line) data sources needs to be adjusted; otherwise, the models may det eriorate significantly in performance. In on-line settings, this circumstance requires permanent upda tes of model components and parameters, in off- line applications a transfer of old models to new s tates.
Period05 Dec 2014
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 101013 Mathematical logic
  • 101024 Probability theory
  • 202027 Mechatronics
  • 102019 Machine learning
  • 603109 Logic
  • 101 Mathematics
  • 102001 Artificial intelligence
  • 102003 Image processing

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • Mechatronics and Information Processing