Special Issue "Emerging Approaches and Advances in Big Data"
A special issue of Symmetry (ISSN 2073-8994).
Deadline for manuscript submissions: 30 September 2017
Prof. Dr. Ka Lok Man
Department of Computer Science and Software Engineering, Xi’an Jiaotong Liverpool University, Suzhou Dushu Lake Higher Education Town, Suzhou Industrial Park, Jiangsu Province, China
Dr. Kevin Lee
School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK
The growth of big data presents challenges, as well as opportunities, for industries and academia. Accumulated data can be extracted, processed, analyzed, and reported in time to deliver better data insights, complex patterns and valuable predictions to the design and analysis of various systems/platforms, including complex business models, highly scalable system and reconfigurable hardware and software systems, as well as wireless sensor and actuator networks. The main building blocks of big data analytics include:
- big data thinking
- computational tools
- data modelling
- analytical algorithms
- data governance
Big data thinking is an exciting area that, not only involves business organizational data-related culture, but also big data projects initiation, team formation and best practices. Computational platforms and tools offer adaptive mechanisms that enable the understanding of data in complex and changing environments. Algorithms and analysis methods are the foundations for many solutions to real problems. Data and information governance and social responsibility directly affect data usage and social acceptance of business solutions.
This Special Issue on “Emerging Approaches and Advances in Big Data” will focus on emerging approaches and recent advances on architectures, design techniques, modeling and prototyping solutions for the design of complex business models, highly scalable system and reconfigurable hardware and software systems, and computing networks in the era of big data.
Prof. Dr. Ka Lok Man
Dr. Kevin Lee
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- big data architecture, modelling and toolkits
- big data for business model and intelligence
- big data challenges for small, medium and large enterprises
- big data analytics and innovations
- big data systems/analytics on emerging hardware/software architectures and computing networks