Special Session on Computational intelligent techniques related to big and streaming data analysis

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.