An approach for increasing the level of accuracy in supply chain simulation by using patterns on input data. - Markus Rabe 001; Anne Antonia Scheidler (WSC, 2014)

Verification of Petri Nets based Simulation Models using Coverage Metrics. - Markus Rabe 001; Maik Deininger; Anne Antonia Scheidler (SIGSIM-PADS, 2015)

Methode zur Erschließung von Wissen aus Datenmustern in Supply-Chain-Datenbanken. - Anne Antonia Scheidler (Cuvillier Verlag, 2017)

A Farming-for-Mining-Framework to Gain Knowledge in Supply Chains. - Joachim Hunker; Alexander Wuttke; Anne Antonia Scheidler; Markus Rabe 001 (WSC, 2021)

Integral verification and validation for knowledge discovery procedure models. - Anne Antonia Scheidler; Markus Rabe 001 (Int. J. Bus. Intell. Data Min., 2021)

A New Data Farming Procedure Model for a Farming for Mining Method in Logistics Networks. - Joachim Hunker; Anne Antonia Scheidler; Markus Rabe 001; Hendrik van der Valk (WSC, 2022)

Review of Maturity Models for Data Mining and Proposal of a Data Preparation Maturity Model Prototype for Data Mining. - Florian Hochkamp; Anne Antonia Scheidler; Markus Rabe 001 (Comput., 2025)