2016 IEEE Symposium Series on Computational Intelligence / 2016 IEEE Symposium on Computational Intelligence and Data Mining  December 6-9, 2016, Athens, Greece

Computational intelligent techniques related to big and streaming data analysis


Call for Papers

Special Session on

Computational intelligent techniques related to big and streaming data analysis

Call for Papers: The digitalization of society has enabled a rapid growth of data sources around us. Improved sensor technology produces vast amount of data as multi-dimensional values, time series or streaming data; for example, wearable sensors only have make possible that monitoring of human related data has become a growing research area in data mining. While the amount of data is growing more sophisticated and reliable methods are needed to ensure the capture of the meaningful information. The methods include different fusion techniques, time series and signal analysis solutions as well as novel approaches for learning. Within the session, the focus will lie on advanced data analysis and data visualization techniques with a particular focus on big, complex and streaming data, connected to the following non-exhaustive list of topics:

  • adaptive models for human related data,
  • activity recognition,
  • probabilistic modeling and Internet of Things,
  • uncertainty of models and uncertain data,
  • online solutions,
  • Internet of Things applications

This special session will be organized in connection to the task force on data visualization and data analysis of the IEEE CIS Data Mining and Big Data Analytics Technical Committee.

Important dates:

Submission:  August 15, 2016
Notification: September 12, 2016
Final submission: October 10, 2016
Conference: December 6-9, 2016


Prof. Barbara Hammer
Prof. Yaochu Jin
Dr. Heli Koskimäki
More information:
Paper Submission:



Last updated: 1/8/2016