*** 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.
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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: 15 March, 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)
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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
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