Special Issue on Computational Intelligence in Data Science and Big Data: Theories and Applications

Submission Deadline: Jun. 30, 2015

  • Special Issue Editor
    • School of Engineering and Technology, NorthCap University, India
    • Vinay Shukla
      Department of Computer Science & Engineering, Institute of Technology & Management, Chehari Maharajganj, Uttar Pradesh, India
    • Tejaswini Narayanan
      Electrical and Computer Engineering Department, University of California San Diego, La Jolla, California, USA
    • Prudhvi Janga
      Department of Computer Science and Engineering, University of Cincinnati, Cincinnati, Ohio, USA
    • Department of Computer Science and Engineering, Sylhet International University, Sylhet, Bangladesh
    • Intelligent Information department, Nagasaki Institute of Applied Science, Nagasaki, Japan
    • Seema Jadhav
      Department of Instrumentation & Control Engineering, Pune University, Nashik, India
    • School of Geograpy & Remote Sensing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu Provence, China
    • Department of Computer, Amirkabir University of Technology, Tehran, Iran
    • Elite Club, Dehdasht Branch, Islamic Azad University, Dehdasht, Iran
  • Introduction

    Data driven scientific discovery approach has already been agreed to be an important emerging paradigm for computing in areas including social, service, Internet of Things (or sensor networks), and cloud. Under this paradigm, Big Data is the core that drives new researches in many areas, from environmental to social. Special issue invites papers that report new research results that apply Computational Intelligence technologies, such as neural networks and learning algorithms, fuzzy systems, evolutionary computation, and other emerging techniques to Data Science and Big Data, ranging from theory, methodologies and algorithms for handling of big data, to their applications to the development of big data analytics systems.

    This Special issue aims to promote new advances and research directions to address solicit experimental and theoretical works on data science and advanced analytics along with their application to real life situations. Topics of interest include (but are not limited to):

    Theoretical Foundation

    1. Computational intelligence, analytical modeling, simulation
    2. Rough computing, fuzzy set, near set, soft set
    3. Genetic algorithm, neural network, swarm intelligence
    4. Big data science and foundations, analytics, visualization
    5. Machine learning for big data
    6. Hybridization intelligent techniques

    Analytics, discovery and learning

    1. Computational theories for big data analysis
    2. Big data modeling and analytics
    3. Big data visualization analytics
    4. Web/online/network mining and learning
    5. Data mining and data warehousing
    6. Performance analysis, simulation, programming models
    7. High performance data access toolkits and middleware
    8. Programming models, abstractions for data-intensive computing
    9. Data capturing, management and scheduling mechanisms
    10. MapReduce, Hadoop and their applications
    11. Distributed ensemble classifier
    12. Mixed-type data analytics
    13. Mixed-structure data analytics
    14. Large scale optimization

    Engineering Applications

    1. Systems Engineering
    2. Biological and Medical Sciences
    3. Environmental Engineering
    4. Telecommunication
    5. Banking Sectors
    6. Computational Finance
    7. Wireless Sensor Networks

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ijiis.net/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

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