About This Special Issue
Data driven scientific discovery approach has already been agreed to be an important emerging paradigm for computing in areas including social, service, Internet of Things (or sensor networks), and cloud. Under this paradigm, Big Data is the core that drives new researches in many areas, from environmental to social. Special issue invites papers that report new research results that apply Computational Intelligence technologies, such as neural networks and learning algorithms, fuzzy systems, evolutionary computation, and other emerging techniques to Data Science and Big Data, ranging from theory, methodologies and algorithms for handling of big data, to their applications to the development of big data analytics systems.
This Special issue aims to promote new advances and research directions to address solicit experimental and theoretical works on data science and advanced analytics along with their application to real life situations. Topics of interest include (but are not limited to):
Theoretical Foundation
1. Computational intelligence, analytical modeling, simulation
2. Rough computing, fuzzy set, near set, soft set
3. Genetic algorithm, neural network, swarm intelligence
4. Big data science and foundations, analytics, visualization
5. Machine learning for big data
6. Hybridization intelligent techniques
Analytics, discovery and learning
1. Computational theories for big data analysis
2. Big data modeling and analytics
3. Big data visualization analytics
4. Web/online/network mining and learning
5. Data mining and data warehousing
6. Performance analysis, simulation, programming models
7. High performance data access toolkits and middleware
8. Programming models, abstractions for data-intensive computing
9. Data capturing, management and scheduling mechanisms
10. MapReduce, Hadoop and their applications
11. Distributed ensemble classifier
12. Mixed-type data analytics
13. Mixed-structure data analytics
14. Large scale optimization
Engineering Applications
1. Systems Engineering
2. Biological and Medical Sciences
3. Environmental Engineering
4. Telecommunication
5. Banking Sectors
6. Computational Finance
7. Wireless Sensor Networks