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000257353 1001_ $$0P:(DE-2719)2810759$$aMeigen, Christof$$b0$$udzne
000257353 245__ $$aData and Knowledge Management
000257353 250__ $$a1st ed. 2022
000257353 260__ $$aCham$$bSpringer International Publishing$$c2022
000257353 29510 $$a[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,
000257353 300__ $$a101-119
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000257353 4900_ $$aStudies in Big Data$$v112
000257353 520__ $$aData 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.
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000257353 650_0 $$aEngineering—Data processing
000257353 650_0 $$aBioinformatics
000257353 650_0 $$aBig data
000257353 650_0 $$aComputational intelligence
000257353 7001_ $$0P:(DE-2719)2810719$$aDörpinghaus, Jens$$b1$$udzne
000257353 7001_ $$aWeil, Vera$$b2
000257353 7001_ $$0P:(DE-2719)9002247$$aSchaaf, Sebastian$$b3$$udzne
000257353 7001_ $$aApke, Alexander$$b4
000257353 773__ $$a10.1007/978-3-031-08411-9_5
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