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Christian Bockermann
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2020 – today
- 2024
- [c16]Christian Bockermann, Jörg Frochte, Daniel Schilberg:
Angewandte künstliche Intelligenz im Verbund verschiedener Fachbereiche. INFORMATIK 2024: 2213-2222
2010 – 2019
- 2018
- [j2]Katharina Morik, Christian Bockermann
, Sebastian Buschjäger:
Big Data Science. Künstliche Intell. 32(1): 27-36 (2018) - 2017
- [j1]Thomas Liebig
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64: 258-265 (2017) - 2016
- [c15]Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) 2016: 22-26 - 2015
- [b1]Christian Bockermann:
Mining big data streams for multiple concepts. Technical University of Dortmund, Germany, 2015 - [c14]Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe:
Online Analysis of High-Volume Data Streams in Astroparticle Physics. ECML/PKDD (3) 2015: 100-115 - 2014
- [c13]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops 2014: 331-338 - [c12]Alexander Artikis, Matthias Weidlich
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT 2014: 712-723 - [c11]Christian Bockermann:
A Visual Programming Approach to Big Data Analytics. HCI (9) 2014: 393-404 - [c10]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Route Planning with Real-Time Traffic Predictions. LWA 2014: 83-94 - [c9]François Schnitzler
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) 2014: 520-523 - 2013
- [c8]Avigdor Gal, Sarah Keren, Mor Sondak, Matthias Weidlich
Grand challenge: the TechniBall system. DEBS 2013: 319-324 - 2010
- [c7]Christian Bockermann, Felix Jungermann:
Stream-based Community Discovery via Relational Hypergraph Factorization on Evolving Networks. LWA 2010: 25-32 - [c6]Christian Bockermann, Felix Jungermann:
Stream-based Community Discovery via Relational Hypergraph Factorization on Evolving Networks. NyNaK 2010
2000 – 2009
- 2009
- [c5]Christian Bockermann, Martin Apel, Michael Meier
Learning SQL for Database Intrusion Detection Using Context-Sensitive Modelling (Extended Abstract). DIMVA 2009: 196-205 - [c4]Martin Apel, Christian Bockermann, Michael Meier
Measuring similarity of malware behavior. LCN 2009: 891-898 - [c3]Christian Bockermann, Martin Apel, Michael Meier:
Learning SQL for Database Intrusion Detection using Context-Sensitive Modelling. LWA 2009: KDML:17-21 - 2008
- [c2]Christian Bockermann, Ingo Mierswa, Katharina Morik:
On the Automated Creation of Understandable Positive Security Models for Web Applications. LWA 2008: 12-17 - [c1]Christian Bockermann, Ingo Mierswa, Katharina Morik:
On the Automated Creation of Understandable Positive Security Models for Web Applications. PerCom 2008: 554-559
Coauthor Index
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