The rapid development of big data breeds data science. Understanding and mastering the internal pattern of the value generation of big data is important for improving digitization and the covergence of data science with management science, computer science, and other disciplines. In this study, we discuss the significance of data science for the development of science and technology and social progress. Based on the interpretation of the connotation of data science, we introduce the definition of data science and review its formation by summarizing the major progress of related disciplines. We also discuss the research methodologies, development patterns and trends, and technical directions of data science. Finally, we make suggestions for ...
The continuous creation of data has posed new research challenges due to its complexity, diversity a...
The continuous creation of data has posed new research challenges due to its complexity, diversity a...
The paper begins by discussing the history of data science, tracing its roots back to the early days...
In Data Science, we are concerned with the integration of relevant sciences in observed and empirica...
In Data Science, we are concerned with the integration of relevant sciences in observed and empirica...
Data science, also known as data driven science, is an interdisciplinary field about scientific meth...
Data Science is an interdisciplinary journal that addresses the development that data has become a c...
Data Science is an interdisciplinary journal that addresses the development that data has become a c...
Abstract: The dawn of big data has arisen. Big data may be defined as a term which indicates large s...
The 21st century has ushered in the age of big data and data economy, in which data DNA, which carri...
Data Science is a field that uses algorithms, scientific methods and system to extract knowledge. It...
The goal of data science is to improve decision making through the analysis of data. Today data scie...
The world’s data sets are growing exponentially every day due to the large number of devices generat...
The world’s data sets are growing exponentially every day due to the large number of devices generat...
The world’s data sets are growing exponentially every day due to the large number of devices generat...
The continuous creation of data has posed new research challenges due to its complexity, diversity a...
The continuous creation of data has posed new research challenges due to its complexity, diversity a...
The paper begins by discussing the history of data science, tracing its roots back to the early days...
In Data Science, we are concerned with the integration of relevant sciences in observed and empirica...
In Data Science, we are concerned with the integration of relevant sciences in observed and empirica...
Data science, also known as data driven science, is an interdisciplinary field about scientific meth...
Data Science is an interdisciplinary journal that addresses the development that data has become a c...
Data Science is an interdisciplinary journal that addresses the development that data has become a c...
Abstract: The dawn of big data has arisen. Big data may be defined as a term which indicates large s...
The 21st century has ushered in the age of big data and data economy, in which data DNA, which carri...
Data Science is a field that uses algorithms, scientific methods and system to extract knowledge. It...
The goal of data science is to improve decision making through the analysis of data. Today data scie...
The world’s data sets are growing exponentially every day due to the large number of devices generat...
The world’s data sets are growing exponentially every day due to the large number of devices generat...
The world’s data sets are growing exponentially every day due to the large number of devices generat...
The continuous creation of data has posed new research challenges due to its complexity, diversity a...
The continuous creation of data has posed new research challenges due to its complexity, diversity a...
The paper begins by discussing the history of data science, tracing its roots back to the early days...