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5th Int.Conf. on Mathematics and Computers in Sciences and Industry

Corfu Island, Greece

August 25-27, 2018

International Symposium 1 - International Symposium on Computational Intelligence in Big Data Analytics

Prof. Dr. Abdel-Badeeh M. Salem Professor of Computer Science,
Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt
Head of Artificial Intelligence and Knowledge Engineering Labs


Big data (BD ) has now become a critical part of the business world and daily life. BD spans six dimensions namely; volume, variety, velocity ,volatility and veracity and value.BD may be generated ,or collected from a wide variety of sources ;e.g. Human-Sourced Data, Process-Oriented Data, Machine-Oriented Data. On the other side, Data analytics (DA) is the science of drawing conclusions and making sense of raw data information. DA has become a broad and vibrant domain that includes a diversity of computational intelligence ( CI ) paradigms and methodologies. CI enable users with learning mechanisms that help to induce knowledge from such raw big data. The scope of the Symposium comprises the whole range of Computational Intelligence (CI) paradigms and application areas. The symposium reviews recent technical advances in CI and shows how these advances have been applied to solve business and industry problems. Key tracks and topics are:

Track1: Computational Intelligence Paradigms
- Artificial Neural Networks and Learning Systems
- Evolutionary Computation
- Swarm Intelligence
- Case-Based Reasoning
- Fuzzy logic and Systems
- Rough Sets Theory
- Decision Trees

Track 2: Computational Intelligence Applications
- Applications of CI to Process Industry
- Applications of CI to Robotics and Autonomous Systems
- Applications of CI to Decision-Making
- Applications of CI to Healthcare
- Applications of CI to user authentication and identification.
- Applications of CI to daily life IoT applications, e.g. smart cars, home appliances and security, health tracking wearable devices, weather monitors

Track3: Data Science and Engineering
Data Mining Computing: Web Mining - Image Mining -Graph Mining -Opinion Mining- Mobile Mining
Data Engineering: Storage and Retrieval Techniques - Protection and models- Analysis and Usage
Smart Software: - Smart Phone Software - Intelligent Tools- Smart Shells - Software Packages
- Computational Software - Statistical Software