@inproceedings{GaoBabilonPfaffetal.2018,
  author    = {Gao, H. and Babilon, Katharina and Pfaff, Raphael and Gan, F. and Reich, A.},
  title     = {Model of wheel-rail contact for sanding and adhesion enhancement},
  series = {Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018},
  booktitle = {Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018},
  isbn      = {978-946186963-0},
  pages     = {314 -- 321},
  year      = {2018},
  language  = {en}
}
@inproceedings{Pfaff2018,
  author    = {Pfaff, Raphael},
  title     = {Railway Challenge 2018 - Ein Wettbewerb f{\"u}r Parkbahn-Lokomotiven},
  series = {Deine Bahn},
  booktitle = {Deine Bahn},
  issn      = {0948-7263},
  pages     = {22 -- 24},
  year      = {2018},
  language  = {de}
}
@inproceedings{PfaffMelcherFranzen2018,
  author    = {Pfaff, Raphael and Melcher, Karin and Franzen, Julian},
  title     = {Rare event simulation to optimise maintenance intervals of safety critical redundant subsystems},
  series = {Proceedings of the European Conference of the PHM Society},
  volume    = {4},
  booktitle = {Proceedings of the European Conference of the PHM Society},
  number    = {1},
  pages     = {1 -- 6},
  year      = {2018},
  language  = {en}
}
@inproceedings{DrummSchmittDoetal.2007,
  author    = {Drumm, Christian and Schmitt, Matthias and Do, Hong-Hai and Rahm, Erhard},
  title     = {Quickmig: automatic schema matching for data migration projects},
  series = {Proceedings of the 2007 ACM Conference on Information and Knowledge Management / CIKM'07, Lisboa, Portugal, Nov. 6 - 10, 2007},
  booktitle = {Proceedings of the 2007 ACM Conference on Information and Knowledge Management / CIKM'07, Lisboa, Portugal, Nov. 6 - 10, 2007},
  isbn      = {978-1-59593-803-9},
  doi       = {10.1145/1321440.1321458},
  pages     = {107 -- 116},
  year      = {2007},
  language  = {en}
}
@inproceedings{WeberMarkovicDrumm2007,
  author    = {Weber, Ingo and Markovic, Ivan and Drumm, Christian},
  title     = {A conceptual framework for composition in business process management},
  series = {Business Information Systems : 10th International Conference, BIS 2007, Poznan, Poland, April 25-27, 2007. Proceedings},
  booktitle = {Business Information Systems : 10th International Conference, BIS 2007, Poznan, Poland, April 25-27, 2007. Proceedings},
  publisher = {Springer},
  address   = {Berlin, Heidelberg},
  isbn      = {978-3-540-72035-5},
  doi       = {10.1007/978-3-540-72035-5_5},
  pages     = {54 -- 66},
  year      = {2007},
  language  = {en}
}
@inproceedings{DrummLemckeOberle2006,
  author    = {Drumm, Christian and Lemcke, Jens and Oberle, Daniel},
  title     = {Integrating Semantic Web Services and Business Process Management: A Real Use Case},
  series = {Proceedings of the ESWC 2006 Workshop Semantics for Business Process Management 2006 (SBPM 2006), June 2006},
  booktitle = {Proceedings of the ESWC 2006 Workshop Semantics for Business Process Management 2006 (SBPM 2006), June 2006},
  pages     = {15 Seiten},
  year      = {2006},
  language  = {en}
}
@inproceedings{KunfermannDrumm2005,
  author    = {Kunfermann, Philipp and Drumm, Christian},
  title     = {Lifting XML schemas to ontologies - the concept finder algorithm},
  series = {MEDIATE 2005 First International Workshop on Mediation in Semantic Web Services Proceedings of the First International Workshop on Mediation in Semantic Web Services (MEDIATE 2005)},
  booktitle = {MEDIATE 2005 First International Workshop on Mediation in Semantic Web Services Proceedings of the First International Workshop on Mediation in Semantic Web Services (MEDIATE 2005)},
  pages     = {113 -- 122},
  year      = {2005},
  language  = {en}
}
@inproceedings{WiesenEngemannLimpertetal.2018,
  author    = {Wiesen, Patrick and Engemann, Heiko and Limpert, Nicolas and Kallweit, Stephan},
  title     = {Learning by Doing - Mobile Robotics in the FH Aachen ROS Summer School},
  series = {European Robotics Forum 2018, TRROS18 Workshop},
  booktitle = {European Robotics Forum 2018, TRROS18 Workshop},
  pages     = {47 -- 58},
  year      = {2018},
  language  = {en}
}
@inproceedings{SerrorHenzeHacketal.2018,
  author    = {Serror, Martin and Henze, Martin and Hack, Sacha and Schuba, Marko and Wehrle, Klaus},
  title     = {Towards in-network security for smart homes},
  series = {13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018},
  booktitle = {13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018},
  isbn      = {978-145036448-5},
  doi       = {10.1145/3230833.3232802},
  pages     = {Article numer 3232802},
  year      = {2018},
  language  = {en}
}
@inproceedings{KromeSander2018,
  author    = {Krome, Cornelia and Sander, Volker},
  title     = {Time series analysis with apache spark and its applications to energy informatics},
  series = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  booktitle = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  doi       = {10.1186/s42162-018-0043-1},
  year      = {2018},
  abstract  = {In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.},
  language  = {en}
}