摘要
Guest Editors Prof.Tao Zhou Univ.of Electronic Science and Technology of China zhutouster@gmail.comProf.Zenglin Xu Univ.of Electronic Science and Technology of China zenglin@gmail.comIn this digital era,enormous amounts of data are ubiquitous and pervasive,which are known as Big Data.These data are about different domains,from different sources,and in different formats.In order to manipulate,integrate,and utilize the knowledge and value hidden in these data, it has been critical in the areas of Data Sciences and Data Engineering （DSDE） to discuss how to develop theories and techniques for data management, data distribution, data storage, data integration, data analytics, and novel applications of big data.
Guest Editors Prof.Tao Zhou Univ.of Electronic Science and Technology of China zhutouster@gmail.comProf.Zenglin Xu Univ.of Electronic Science and Technology of China zenglin@gmail.comIn this digital era,enormous amounts of data are ubiquitous and pervasive,which are known as Big Data.These data are about different domains,from different sources,and in different formats.In order to manipulate,integrate,and utilize the knowledge and value hidden in these data, it has been critical in the areas of Data Sciences and Data Engineering （DSDE） to discuss how to develop theories and techniques for data management, data distribution, data storage, data integration, data analytics, and novel applications of big data.
