*** sorry if cross-posting ***

The 20th International Conference on Information Fusion (FUSION 2017) will be held in Xi���an, China at the Wyndham Hotel on July 10���13, 2017.
��

For updated information, please visit the official website:
http://www.fusion2017.org


We propose a special session on Big data information fusion with the theory of belief functions.

Description: Big data has gained become a hotspot in both theoretical research and real applications in the latest 10 years due to the rapid expansion of the massive amount of data that is available for solving different tasks within many different application domains. Big data is so large or complex that traditional data processing applications are inadequate to deal with them. One significant aspect is the uncertainty incorporated in the Big data.

The theory of belief function is a powerful tool for uncertainty modeling and reasoning, which is expected to provide effective solutions for the Big data processing and analyses in information fusion related applications. Therefore, we propose to organize such a special session including the subtopics as follows:
- Belief function based analysis of complex networks
- Belief function based decision making
- Belief function based clustering analysis
- Belief function based pattern classification
- Belief function based feature selection/extraction
- Other topics in belief function based applications in information fusion


Important Dates:
- Full paper submission deadline: March 22, 2017
- Notification of acceptance: 1 May, 2017


Submission:
Authors submitting to a special session need to delay their submission until the special sessions are available.
SS1: Big Data Information Fusion with the Theory of Belief Functions



Organizers: Arnaud Martin (France), Deqiang Han (China)

-- 
========================================
    Pr. Arnaud MARTIN
    Universit�� de Rennes 1 / IUT de Lannion
    UMR 6074 IRISA
    Rue Edouard Branly BP 30219 
    22302 Lannion cedex, France
    Phone: +(33)2.96.46.94.60
========================================