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Supporting Technologies and Enablers for Big Data
This special issue belongs to the section “Information Systems“.
Special Issue Information
Dear Colleagues,
In recent years, “Big Data” has become a main theme in many aspects of computing. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and, ultimately, society itself. The Special Issue on “Supporting Technologies and Enablers for Big Data” aims at providing an international forum for researchers and practitioners to exchange information regarding advancements in the state of art and practice of big data related technology development and business applications. It will contain expanded versions of selected papers presented at the 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA 2017), which is to take place held in Bejing, China on 10–12 March, 2017.
Prof. Steven Guan, Xi’an Jiaotong-Liverpool University
Prof. Xizhao Wang, Big Data Institute, Shenzhen University
Prof. Hai Zhuge, Aston University and Chinese Academy of Sciences
Prof. Jianhua Zhang, East China University of Science and Technology
Prof. Ching-Shih Tsou, National Taipei University of Business
Guest Editors
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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. Information 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 1800 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.
Keywords
- big data analytics, applications, architecture, management, metrics, modeling, platforms, services, and toolkits
- data analytics
- data governance
- data modelling
- data protection,
- integrity, and privacy
- data social responsibilities
- business intelligence
- marketing analytics
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Published Papers
Information - ISSN 2078-2489