Editorial

摘要

The fields of computational intelligence and knowledge management have made significant advances over the past decades. The potential ability to derive intelligence from the analysis of raw data has been successfully applied to a broad array of (diverse) areas such as marketing, manufacturing, sciences, humanities, social media, etc. The success of such applications has been accompanied by a continuous evolution in the characteristics and size of data: they are more dynamic and spatiotemporal, distributed and volatile, while constantly increasing in size. These changes have created new challenges for researchers in the computational intelligence, machine learning, data mining and knowledge engineering fields that relate to the effective harvesting, storage, curating, integration, management, and analysis of big data.