Smart Data 2016 - 2016 IEEE International Symposium on Smart Data

Smart Data aims to filter out the noise and hold the valuable data, which can be effectively used by enterprises and governments for planning, operation, monitoring, control, and intelligent decision making. Although unprecedentedly large amount of sensory data can be collected with the advancement of the cyber-physical-social systems recently. However, having lots of data is not enough. The key is to explore how Big Data can become Smart Data. Advanced Big Data modeling and analytics are indispensable for discovering the underlying structure from retrieved data in order to acquire Smart Data.
Computational Intelligence, a set of nature-inspired computational methodologies and approaches, has advanced in the past decades. A large number of Computational Intelligent technologies such as artificial neural networks, evolutionary computation and fuzzy logic have been developed to address complex real-world problems. The adoption of Computational Intelligence technologies and theories in handling Big Data could offer a number of advantages. Computational Intelligence is considered as an effective tool for harvesting Smart Data from Big Data.