Data driven knowledge discovery and computational intelligence extraction have gained attention of scientific and business community over the last decade. This type of computational paradigm aims to gain pattern of knowledge and understand the knowledge hidden behind the abundant enormous data. Therefore, it is becoming increasingly important in the variety fields including social, service, Internet of Things, sensor networks, telecommunications, biology, and healthcare. A large number of research and applications have been theoretically and empirically focused. However, there are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. The 2019 Data Science and Computational Intelligence (DSCI-2019) will devote to the data science and computational intelligence methods addressing the relevant scientific challenges on classification, prediction, clustering, statistics and optimization problems and their applications to both small and big data sets.

DSCI-2019 will provide a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-art advances and innovations in theoretical foundations, systems, infrastructure, tools, testbeds, and applications for the DSCI, as well as to identify emerging research topics and define the future.

Prospective authors are invited to submit their papers to DSCI-2019. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work.

Submit your paper(s) in PDF file at the submission site: hpcn.exeter.ac.uk/dsci