IEEE Computational Intelligence Magazine

Special Issue on

Computational Intelligence in Big Data

Aim and Scope

    The main challenges in handling Big Data lie not only in the four V’s, namely, huge Volume in amount, high Variety in type, Velocity in terms of real-time requirements, and Variability, i.e., constant changes in data structure and user interpretation, but also in the approach to understanding data. Therefore, Big Data calls for a revolutionary change in research methodology, and in tools to be employed as well.

    Computational Intelligence (CI) techniques are expected to provide powerful tools for addressing Big Data challenges. For tackling new problems arising with Big Data, however, innovative research is needed to advance CI methods. This special issue aims to publish selected research articles presenting recent advances and discussing challenges and opportunities in the application of CI techniques to the emerging field of Big Data. More specifically, topics of the Special Issue cover theory and applications of CI techniques in Big Data, including
    • Integrative analytics of diverse, structured and unstructured data
    • Extracting new understanding from real-time, distributed, diverse and large-scale data resources
    • Big data visualization and visual data analytics
    • Scalable, incremental learning and understanding of big data
    • Scalable learning techniques for big data
    • Big data driven optimization of complex systems
    • Human-computer interaction and collaboration in big data
    • Big data and cloud computing
    • Cross-connections of big data analysis and hardware
    • Big data techniques for business intelligence, finance, healthcare, bioinformatics, smart sensor networks, cyber security and other critical application areas

    While technical papers dedicated to advancements in a specific area are welcome, we strongly encourage submissions that provide an overview of opportunities and challenges in applying CI techniques to an important application area from the Big Data perspective.

Important Dates

    All manuscripts should be submitted to one of the Guest Editors whose contact details can be found below. The submission deadline is November 1, 2013. All submitted papers will be peer-reviewed and the review results will be noticed by December 15, 2013. The final manuscript is due on February 1, 2014. The special issue on “Computational Intelligence in Big Data” is scheduled to be published in August 2014.

Guest Editors