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Big Data is an international open access journal aiming to publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including (but not limited to) data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find Big Data to be the definitive, most comprehensive reference in the field.

 

DB is published online by the 5thPublisher, an independent publishing platform based British Columbia of Canada. The BioPublisher applies the Creative Commons Attribution License (CCAL) to all works published in this journal. Under the terms of CCAL, authors retain ownership of the copyright for their article and have granted to any third party to reuse, reprint, disseminate and unlimited download, provided the original authors and source are right cited. No permission is required from the authors or the publishers.

 

5thPublisher covers the cost by collecting article processing charges (APCs) from authors and let the research results be freely accessed by readers and collected institutes. The standard article processing charges collected by BioPublisher is 1200 CAD per article. Authors from low-income countries and areas or having financial difficulties can apply the discount for APC upon submission, and if the authors are qualified to be waived they don‘t necessarily pay the APCs. We do not want fees to prevent the publication of worthy work.

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