Mathematik und Informatik

Prof. Dr. Christian Beecks, Institut für Informatik

Private Homepagehttps://www.uni-muenster.de/DMA/
ForschungsgebieteData Science
Big Data Analytics
Internet of Things
Multimedia Databases
Selected current PublicationsBeecks C, Schmidt KW, Berns F, Grass A Gaussian Processes for Anomaly Description in Production Environments. Proceedings of the Workshops of the Joint Conference on Extending Database Technology and Database Theory, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019CEUR Workshop Proceedings, 2019 online
Berns F, Rossetto L, Schoeffmann K, Beecks C, Awad G V3C1 Dataset: An Evaluation of Content Characteristics. Proceedings of the 2019 on International Conference on Multimedia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019, 2019, pp 334-338 online
Leibetseder A, Münzer B, Primus MJ, Kletz S, Schoeffmann K, Berns F, Beecks C lifeXplore at the Lifelog Search Challenge 2019. Proceedings of the ACM Workshop on Lifelog Search Challenge, LSC@ICMR 2019, Ottawa, ON, Canada, 10 June 2019, 2019, pp 13-17 online
Sandfort F, Strieth-Kalthoff F, Kühnemund M, Beecks C, Glorius F A Structure-Based Platform for Predicting Chemical Reactivity. ChemRxiv Vol. 2019, 2019 online
Beecks C, Grass A, Devasya S Metric Indexing for Efficient Data Access in the Internet of Things. IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018, 2018, pp 5132-5136 online
Beecks C, Berrendorf M Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations. IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018, 2018, pp 614-623 online
Beecks C, Grass A Efficient Point-Based Pattern Search in 3D Motion Capture Databases. 6th IEEE International Conference on Future Internet of Things and Cloud, FiCloud 2018, Barcelona, Spain, August 6-8, 2018, 2018, pp 230-235 online
Schoeffmann K, Husslein H, Kletz S, Petscharnig S, Münzer B, Beecks C Video retrieval in laparoscopic video recordings with dynamic content descriptors. Multimedia Tools Appl. Vol. 77 (13), 2018, pp 16813-16832 online
Beecks C, Devasya S, Schlutter R Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project. Selected papers from the International Conference on Machine Learning for Cyber Physical Systems, ML4CPS 2018, Karlsruhe, Germany, October 23-24, 2018, 2018, pp 1-6 online
E-Mailchristian.beecks@uni-muenster.de
Telefon+49 251 83-33804
FAX+49 251 83-33755
Zimmer203
Sekretariat   Sekretariat Glasmeyer (Informatik)
Frau Dana Glasmeyer
Telefon +49 251 83-38401
Fax +49 251 83-33755
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AdresseProf. Dr. Christian Beecks
Institut für Informatik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
Deutschland
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