Data Science and Engineering
Impact Factor & Key Scientometrics

I. Basic Journal Info

Country

Germany

Journal ISSN: 23641185, 23641541

Publisher: Springer Berlin

History: 2016-2021

Journal Hompage: Link

How to Get Published:

Research Categories

Scope/Description:

The journal of Data Science and Engineering DSE responds to the remarkable change in the focus of information technology development from CPUintensive computation to dataintensive 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 indepth 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 dataintensive computing and iv the techniques and systems used to analyze and manage big data.