With advances in technologies, research community is flooded with ever-increasing dataset with different nature. Hence the need to locate, analyse and use these data becomes prominent for visualising and charting new discoveries. The research that falls in this cluster aims to develop new approaches, standards, methods, tools, and software that will enhance the use of these data by supporting research, implementation and training in data science. Hence the Data to Knowledge Cluster at the School of Computer Sciences has been expanded to consist of five sub clusters that encompasses Computational Intelligence, Computer Vision & Image Processing, Visual Informatics, Language Engineering & Knowledge Engineering.