A design of a preprocessing framework for large database of historical documents

By Ines Ben Messaoud, H. E. Abed, V. Märgner, H. Amiri. 2011

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Benchmark and Survey of Automated Machine Learning Frameworks (2019, background): “Incorporating domain knowledge during data cleaning heavily increases the data quality (Jeffery et al., 2006; Messaoud et al., 2011; Salvador et al., 2016).”
Survey on Automated Machine Learning (2019, background): “domain knowledge, the data quality can be heavily increased (Jeffery et al., 2006; Messaoud et al., 2011; Salvador et al., 2016).”
Modelling Multi-Component Predictive Systems as Petri Nets (2017, background): “Some examples are astronomy (Berriman et al. 2007), biology (Shade and Teal 2015), clinical research (Teichmann et al. 2010), archive scanning (Messaoud et al. 2011), telecommunications (Maedche et al. 2000), banking (Wei et al. 2013) and process industry (Budka et al. 2014) to name a few.”
Towards Automatic Composition of Multicomponent Predictive Systems (2016, background): “clinical data [3,4], historical documents [5] and process industry [6]).”