Connectionists: special session on Computational intelligent techniques for big and streaming data analysis

[Barbara Hammer]

Call fo papers:

Special Session on Computational intelligent techniques for big and 
streaming data analysis
http://www.oulu.fi/cse/node/34555

at the 2016 IEEE Symposium Series on Computational Intelligence (IEEE 
SSCI 2016),
December 6-9, 2016, Athens, Greece
http://ssci2016.cs.surrey.ac.uk/

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

Organizers:
Yaochu Jin, Barbara Hammer, Heli Koskimäki

Important Dates:

Paper submission due: July 18, 2016
Paper acceptance: September 12, 2016
Final paper submission: October 10, 2016
Early registration: October 10, 2016


-- 
Prof. Dr. Barbara Hammer
CITEC centre of excellence
Bielefeld University
D-33594 Bielefeld
Phone: +49 521 / 106 12115
Fax:   +49 521 / 106 12181