Big Data Analytics

Dear Colleagues,

Nowadays, big data has become a new, hot research topic among academics and the industry community. It refers to a collection of data sets that are too large or too complex for efficient processing and analysis using traditional database management tools. The development of big data will enhance decision making, insight discovery, and process optimization. However, there are still numerous technical challenges and issues that need to be improved and broadly explored. This Special Issue aims to provide the last and most innovative research on all theoretical and practical aspects in all areas of big data processing, analysis, and mining.

Topics of interest include, but are not limited to:

- Privacy-preservation for big data
- Traditional and emerging methods for big data
- Machine learning for big data
- Intelligent and unconventional methods for big data
- Search and optimization for big data
- Parallel, accelerated, and distributed big data analysis
- High performance computing for big data
- Novel hardware and software architectures for big data
- Real-world applications and success stories of big data analysis
- Mining of unstructured, spatio-temporal, streaming, and multimedia data

Dr. Joseph K. Liu
Professor Dr. Xiaofeng Chen
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 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. 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 1600 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
• cloud computing
• information system security
• data processing and analysis