2016 IEEE Symposium on Computational Intelligence in Big Data (IEEE CIBD'16)

Topics of IEEE CIBD’2016 include but are not limited to: 

• Integrative analytics of diverse data resources

• Integration of structured and unstructured data

• Deep learning of big data

• Big data in healthcare

• Big data in industrial internet of things

• Big data in future media

• Big data in finance and economy

• Big data in public services

• Big data in social media

• Big data in intelligent robotics

• Big data driven new business

• Extracting understanding from distributed, diverse and large-scale data resources

• Extracting understanding from real-time large-scale data streams

• Predictive analytics and in-memory analytics

• New information infrastructure for big data

• Big data visualization and visual data analytics

• Semantic technologies for big data

• Scalable learning techniques for big data

• Optimization of complex systems involving big data  

• Data governance and management in big data

• Human-computer interaction and collaboration in big data

• Big data and cloud computing

• Applications of big data, such as  industrial processes , business intelligence, healthcare, bioinformatics and security