( en | de | ru )

 

Disambiguation of "Feldkamp, Niclas"

Author of the publication

copydeleteadd this publication to your clipboard
Online Analysis of Simulation Data with Stream-based Data Mining.

, , and . SIGSIM-PADS, page 241-248. ACM, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Heiner Feldkamp

Jürgen Feldkamp

Ole Feldkamp

Joachim Feldkamp

Klaus Feldkamp

 

Other publications of authors with the same name

Wissensentdeckung und Robustheitsanalyse für Simulationsmodelle weltweiter Netze(Knowledge Discovery and Robustness Analysis for Simulation Models of Global Networks)., , and . SysRisk@Wirtschaftsinformatik, volume 2397 of CEUR Workshop Proceedings, page 64-76. CEUR-WS.org, (2019)Knowledge discovery in simulation data - A case study for a backhoe assembly line., , , , , and . WSC, page 4456-4458. IEEE, (2017)Combining Data Farming and Data envelopment Analysis for Measuring Productive Efficiency in manufacturing simulations., , , , , and . WSC, page 1440-1451. IEEE, (2018)Bilevel innovization: knowledge discovery in scheduling systems using evolutionary bilevel optimization and visual analytics., , , and . GECCO (Companion), page 197-198. ACM, (2018)Development of an Integrated Solution for Data Farming and Knowledge Discovery in Simulation Data., , , , and . Simul. Notes Eur., 32 (3): 121-126 (2022)Approximation of dispatching rules for manufacturing simulation using data mining methods., , and . WSC, page 2329-2340. IEEE/ACM, (2015)Simulation-Based Deep Reinforcement Learning For Modular Production Systems., , and . WSC, page 1596-1607. IEEE, (2020)Knowledge discovery and robustness analysis in manufacturing simulations., , , and . WSC, page 3952-3963. IEEE, (2017)Online Analysis of Simulation Data with Stream-based Data Mining., , and . SIGSIM-PADS, page 241-248. ACM, (2017)Explainable AI For Data Farming Output Analysis: A Use Case for Knowledge Generation Through Black-Box Classifiers., , and . WSC, page 1152-1163. IEEE, (2022)