Special Issue "Novel Machine Learning Approaches for Intelligent Big Data 2019"
A special issue of Symmetry (ISSN 2073-8994).
Deadline for manuscript submissions: closed (31 March 2020).
Interests: machine learning; intelligent Big Data; complex information; artificial intelligence
In recent years, a substantial amount of work on intelligent big data (IBD) has analyzed complex information using multi-core platforms based on large clusters of computers. Outcomes from these systems have provided a huge amount of complex information that is too much for any single institution or computing center to handle. In particular, multimedia and individuals with smartphones and on social network sites will continue to fuel exponential growth. Recent developments in the field of machine learning offer powerful tools to handle intelligent big data. We believe that a cognitive formalism, such as machine learning architecture that combines artificial intelligence, will produce a new leap forward in the current perception of information processing and management.
This Special Issue aims to foster the dissemination of high-quality research in methods, theories, techniques, and tools concerning active intelligent big data technology in the coming era. Its emerging applications and usages, which provide tailored and precise solutions, wherever and whenever they are active, are extremely concentrated. Original research articles are solicited on topics including traditional data processing formalisms that are inadequate to solve this problem, practical applications, new communication technology, and experimental prototypes.
Potential topics include but are not limited to the following:
- Symmetry in data-driven innovation and computational modelling for IBD;
- Symmetry in problem solving and planning for IBD;
- Symmetry in data mining and Web mining for IBD;
- Symmetry in information retrieval for IBD;
- Symmetry in probabilistic models and methods for IBD;
- Symmetry in natural language processing for IBD;
- Symmetry in design and diagnosis for IBD;
- Advanced symmetric classification, regression, and prediction for IBD;
- Applied clustering and Kernel methods for IBD;
- Deep learning and data science for IBD;
- Vision and speech perception for IBD;
- Robotics and control for IBD;
- Bioinformatics for IBD;
- Biological inspired computations for IBD;
- Industrial, financial, and scientific applications of all kinds;
- Other symmetry issues in applied intelligent big data.
Dr. Gangman Yi
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 1400 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.