Friday, 18 October 2013

Call for papers: Special session for WCCI 2014 "Evolutionary Computation in Big Data"


Nowadays, big data has been attracting increasing attention from academia, industry and government. The big data is defined as the dataset whose size is beyond the processing ability of typical database or computers. The big data analytics is to automatically extract knowledge from large amounts of data. It can be seen as mining or processing of massive data, and “useful” information could be retrieved from large dataset. Big data analytics can be characterized with several properties, such as large volume, variety of different sources, and fast increasing speed (velocity). It is of great interest to investigate the role of evolutionary computing (EC) techniques, including evolutionary algorithms and swarm intelligence algorithms in optimization and learning involving big data, in particular the ability of EC techniques to solve large scale, dynamic, and sometimes multi-objective big data analytics problems.

Topics of Interest

This special session aims at presenting the latest developments of EC techniques for big data problems, as well as exchanging new ideas and discussing the future directions of EC for big data. Original contributions that provide novel theories, frameworks, and solutions to challenging problems of big data analytics are very welcome for this Special Session. Potential topics include, but are not limited to:
1)    High-dimensional and many-objective evolutionary optimization 
2)    Big data driven optimization of complex engineering systems
3)    Integrative analytics of diverse, structured and unstructured data
4)    Extracting new understanding from real-time, distributed, diverse and large-scale data resources
5)    Big data visualization and visual data analytics
6)    Scalable, incremental learning and understanding of big data
7)    Scalable learning techniques for big data
8)    Big data driven optimization of complex systems
9)    Human-computer interaction and collaboration in big data
10)    Big data and cloud computing
11)    Cross-connections of big data analysis and hardware
12)    Big data techniques for business intelligence, finance, healthcare, bioinformatics, intelligent transportation, smart city, smart sensor networks, cyber security and other critical application areas


Please follow the IEEE WCCI 2014 instruction for authors and submit your paper via the IEEE WCCI 2014 online submission system. Please specify that your paper is for the Special Session on Evolutionary Computation in Big Data.

Important Dates

Paper Submission Deadline:             December 20, 2013
Notification of Acceptance:              March 15, 2014
Final Paper Submission Deadline:     April 15, 2014   
Early/Paper Author Registration:      April 15, 2014   


Shi Cheng, University of Nottingham Ningbo, China,
Yuhui Shi, Xi'an Jiaotong-Liverpool University, Suzhou China,
Yaochu Jin, University of Surrey, Guildford, United Kingdom,

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