%0 Book Section
%A Meigen, Christof
%A Dörpinghaus, Jens
%A Weil, Vera
%A Schaaf, Sebastian
%A Apke, Alexander
%T Data and Knowledge Management; 1st ed. 2022
%V 112
%C Cham
%I Springer International Publishing
%M DZNE-2023-00422
%@ 978-3-031-08411-9
%B Studies in Big Data
%P 101-119
%D 2022
%< [Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022,
%X Data and Knowledge Management, sometimes also called Information Management, is a core topic of Data Engineering and Data Mining. It is also an interdisciplinary field, touching economics (how efficient and expensive is the solution?), psychology (does one use this solution in a way that was intended?) and, of course, informatics. This chapter offers a theoretical overview on Data and Knowledge Management and thus provides a theoretic foundation for the following parts of this book. Moreover, if you implement or plan a solution in the field of data mining or data engineering, carefully consider the information given here. In other words: Besides the theory, this chapter provides a technical blueprint.
%F PUB:(DE-HGF)7
%9 Contribution to a book
%R 10.1007/978-3-031-08411-9_5
%U https://pub.dzne.de/record/257353