Special Issue "Latest Advances and Prospects in Big Data"
Deadline for manuscript submissions: 30 April 2022.
Interests: big data analysis; data visualization; visual analytics; smart manufacturing; virtual reality; augmented reality
Interests: data mining and analysis; data visualization and visual analytics; health informatics and electronic health
Special Issues and Collections in MDPI journals
Special Issue in Applied Sciences: Big Data Analysis and Visualization
Special Issue in Applied Sciences: Big Data Analysis and Visualization Ⅱ
Interests: multimedia data mining; bioinformatics; medical data analysis; SNS data analysis
Interests: high performance computing; cloud computing; real-time computer graphics
Big data has become a core technology to provide innovative solutions in many fields. It refers to the large and complex amount of structured and unstructured data that grow at high-speed rates. The development of big data will enhance the discovery of useful information, such as hidden patterns and unknown correlations, that can be useful in many fields, including healthcare, manufacturing, social life, etc. However, there are still many challenges and issues that need to be solved in the area of big data. This Special Issue aims to highlight the latest advances and prospects in big data processing and analysis.
Hence, we invite the academic community and relevant industrial partners to submit papers to this Special Issue on relevant fields and topics, including (but not limited to) the following:
- Novel algorithms for big data analysis;
- Big data preprocessing techniques (acquisition, integration, cleaning, and transformation);
- Data mining, machine learning, and deep learning for big data analysis;
- Application of computer vision techniques in big data analysis;
- Big database engineering and applications;
- Visualization and visual analytics for supporting the big data analysis process;
- Privacy issues in big data applications;
- Scientific data analysis and visualization;
- Cloud computing applications for big data processing;
- High performance computing for big data;
- Big data analysis: case studies and applications.
Prof. Dr. Kwan-Hee Yoo
Prof. Dr. Carson K. Leung
Prof. Dr. Hyung-Jeong Yang
Prof. Dr. Nakhoon Baek
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2000 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
- big data preprocessing
- big data analysis
- big data visualization
- data mining
- machine learning
- artificial intelligence
- computer vision
- deep learning
- cloud computing