86 citations · 200 across the 12 of their papers we have counts for
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cs.DB2019
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows
Simon Gottschalk, Nicolas Tempelmeier, Günter Kniesel +3
In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of…
cs.CY2019★ 16 cited
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions
Nicolas Tempelmeier, Yannick Rietz, Iryna Lishchuk +5
With the increasing availability of mobility-related data, such as GPS-traces, Web queries and climate conditions, there is a growing demand to utilize this data to better understa…