Development on Methods and Applications of Cognitive Computing of Urban Big Data
Urban big data provides theory and action support for urban operation state estimation and comprehensive decision-making,while its characteristics of multi-source heterogeneity,low coupling and dynamic change bring great challenges to tradi-tional integrated analysis.Cognitive computing is applicable to the mining of time-varying multidimensional,complex and diverse data,and can conduct adaptive learning and evolution of problems.Based on the characteristics of different types and structures of urban big data,this paper summarizes the corresponding processing methods according to the four stages of the cognitive process,and further classifies the above specific methods at the conceptual level according two the angle of knowledge driven,data driven and knowledge and data driven.Finally,it forms an organic collaboration between the methods of different driving modes in the cognitive process,and the urban big data cognitive closed-loop from perception and understanding to decision-making behavior.At the same time,it summarizes the research and development status of urban big data cognitive computing in multiple application fields.Finally,the challenges of cognitive computing in the field of urban big data construction are discussed,and the future deve-lopment trend are prospected.
NETL
NSTL
万方数据
