Data 2018 - The International Conference on Data Science, E-learning and Information Systems 2018

The International Conference on Data Science, E-learning and Information Systems 2018 (Data'18) will take place in Ayre Gran Hotel Colón Madrid, Spain, 1-2 October, 2018. Data'18 conference is co-sponsored by the UDIMA Universidad a Distancia de Madrid. The conference is technically co-sponsored by Elsevier Procedia (Pending).
The conference has the focus on the frontier topics in the theoretical and applied data science and engineering, e-learning and information systems' subjects. Data'18 conference serves as good platforms for our members and the entire data engineering and IS community to meet with each other and to exchange ideas.
All submitted papers will be under peer review and accepted papers will be published in the conference proceeding. The abstracts will be indexed and available at major academic databases such as SCOPUS, and Google Scholar. In addition, Special issues will be published in some SCI and Scopus journals.
Data'18 conference is composed of the following 12 tracks - Topics of interest include, but are not limited to, the following:
Data Science and Engineering: Data Fusion, Data Mining, Aerial Image Analysis, Unmanned Aerial Systems, Social networks, Collaborative Networks, web services, Advanced Analytics, Big Data, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud, data capture, creation, storage, search, sharing, modeling, analysis, and visualization, machine learning, statistics, optimization and managing big mutimedia data.
E-Learning Educational in ICT: E-learning, Engineering Education, Distance Education, Educational Technology, Virtual education and others.
Robotics: Programming, Software, Hardware, Applications, Tools, Systems and Technologies.
Web Technologies: Social Networks, Programming Languages, Semantics, Web Semantic, Mobile Applications, Mobile Engineering, web applications developments and others.
Health Advances and Technologies
Machine Learning & Deep Learning
Modeling, & Simulation
Engineering Projects Management
Computing & Applications: OS, Databases, Cloud Computing, Soft Computing, Genetic Programming, Genetic Algorithm, Swarm Intelligence, Machine Learning, Pattern Recognition, Fuzzy Systems, Fuzzy Logic, Neural network, Machine Learning, Multi-Agent Systems, Neural Genetic Systems, Neural Fuzzy Systems, Pattern Recognition, Time Series Analysis, Forecasting, Reinforcement Learning, tatistical Data Analysis, Complex Systems, Evolutionary Systems, Applications of soft computing to: Control problems, sensor fusion, manufacturing, testing and diagnostics, semiconductor processing, modeling of complex systems, approximate reasoning, optimization, management science, decision analysis, information systems, economics, financial systems, business applications, forecasting, reliability, cost-benefit analysis, risk assessments, medical applications, forensic applications, automotive applications, robotics, automation, etc. New developments in soft computing: Development of applications or approaches combining fuzzy logic, neural networks, evolutionary computation, expert systems, etc.Soft computing software, Hardware implementations of soft computing.
Signal Processing Engineering
Renewable Energy
Information Systems (IS): Information Theory, IT governance, Knowledge Management, e-Commerce vs. e-Business, Building an e-Business, e-Gov, Designing a web site, elements of a web site, evaluation and usability, Web site design: Site plan, strategies and designs, E-commerce Web Site Design: Strategies and Model, Payments, CRM, B2B e-Commerce, KPMG presentation another topics related in IS.