The Data Lifecycle from Data Capture to Insight

Author:

Brecher Christian,Blanke Philipp,Padberg Melanie,Dassen Yannick,Fimmers Christian,Müller Aleksandra,Petrovic Oliver,Pieske Simon,Roggendorf Simon,Schilling Katrin,Wein Stephan

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Minguez J (2013) Der Manufacturing Service Bus. In: Westkämper E, Spath D, Constantinescu C, Lentes J (eds) Digitale Produktion. Springer, Berlin, https://doi.org/10.1007/978-3-642-20259-9_22

2. Gandhi A (2018) Data augmentation | How to use deep learning when you have limited data  – Part 2. https://nanonets.com/blog/data-augmentation-how-to-use-deep-learning-when-you-have-limited-data-part-2. Accessed: 15 Oct 2020

3. Badr W (2019) 6 Different ways to compensate for missing values in a dataset (Data Imputation with examples). https://towardsdatascience.com/6-different-ways-to-compensate-for-missing-values-data-imputation-with-examples-6022d9ca0779. Accessed: 16 Oct 2020

4. Hedemann F (2018) Synthetische Daten: Ein neues Geschäftsmodell? https://dmexco.com/de/stories/synthetische-daten-ein-neues-geschaeftsmodell. Accessed: 16 Oct 2020

5. Goecks VG (2020) Human-in-the-loop methods for data-driven and reinforcement learning systems

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