Handbook

This subject covers the principles, techniques and applications of analysing big data. The first half of this subject introduces the fundamental concepts, systems, and tools for big data analysis to give students a basic understanding of this field. Also, the main analytic algorithms including classification, regression, clustering, recommendation, and retrieval algorithms are presented from the perspective of big data analysis. The second half of this subject focuses on the specific techniques and applications of large-scale multimedia data (e.g., text and image) analytics to help students gain a better understanding of the algorithms presented in the first half of this subject. This subject will equip students with the fundamental knowledge on big data analytics and the skills to appropriately choose and apply algorithms to resolve practical analytics problems of multimedia data.