DSCI-2019

Introduction

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.

Important Dates

Workshop Proposal Due:	15 April 2019
Paper Submission Deadline:	~~15 May 2019~~30 June 2019
Authors Notification:	~~15 August 2019~~25 August 2019
Camera-Ready Paper Due:	~~12 September 2019~~21 September 2019
Early Registration Due:	~~12 September 2019~~21 September 2019
Conference Date:	21-23 October 2019

Scope and Topics

Track 1: Data Science Theory, Algorithms and Architectures

Foundations of Data Science
Programming Techniques
Analytics and Metrics
Representation Formats
Cloud Computing Techniques
Mobile and Pervasive Computing
Data Management
Data Quality
Social Computing
Social Network Analysis
Protection, Integrity and Privacy
Distributed Data Mining
Visualization

Track 2: Data Science Applications

Web Intelligence
Humanities
Stock Market Analysis
Scalable Cloud Data Management
Privacy and Security
Geosciences
Manufacturing and Supply Chains
Earth Science
Biomedical Informatics
High dimensional data
Social Networks
B2B Marketing and Sales
Healthcare
Sustainable development
Advanced Manufacturing

Track 3: Computational Intelligence for Big Data Processing

Artificial Neural Networks and Learning methods
Deep Learning
Knowledge based systems
Uncertainty management
Global optimization methods
Intelligent Control Systems
Intelligent Internet Systems
Intelligent Software Systems
Parallel Computation
Pattern Recognition
Systems Modelling
Web Mining

Track 4: Data Mining and Applications

Parallel and distributed data mining algorithms
Data streams mining
Time-series data mining
Graph mining
Spatial data mining
Text video, multimedia data mining
Web mining
Pre-processing techniques
Visualization
Security and information hiding in data mining
Data mining applications

Submission

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