The journal of Data Science and Engineering (DSE) responds to the remarkable change in the focus of information technology development from CPU-intensive computation to data-intensive computation| where the effective application of data| especially big data| becomes vital. The emerging discipline data science and engineering| an interdisciplinary field integrating theories and methods from computer science| statistics| information science| and other fields| focuses on the foundations and engineering of efficient and effective techniques and systems for data collection and management| for data integration and correlation| for information and knowledge extraction from massive data sets| and for data use in different application domains. Focusing on the theoretical background and advanced engineering approaches| DSE aims to offer a prime forum for researchers| professionals| and industrial practitioners to share their knowledge in this rapidly growing area. It provides in-depth coverage of the latest advances in the closely related fields of data science and data engineering. More specifically| DSE covers four areas: (i) the data itself| i.e.| the nature and quality of the data| especially big data; (ii) the principles of information extraction from data| especially big data; (iii) the theory behind data-intensive computing; and (iv) the techniques and systems used to analyze and manage big data. DSE welcomes papers that explore the above subjects. Specific topics include| but are not limited to: (a) the nature and quality of data| (b) the computational complexity of data-intensive computing|(c) new methods for the design and analysis of the algorithms for solving problems with big data input|(d) collection and integration of data collected from internet and sensing devises or sensor networks| (e) representation| modeling| and visualization of big data|(f) storage| transmission| and management of big data|(g) methods and algorithms of data intensive computing| such asmining big data|online analysis processing of big data|big data-based machine learning| big data based decision-making| statistical computation of big data| graph-theoretic computation of big data| linear algebraic computation of big data| and big data-based optimization. (h) hardware systems and software systems for data-intensive computing| (i) data security| privacy| and trust| and(j) novel applications of big data.
数据整理自公开网络的投稿反馈，仅供参考。
