|
Email:
marco.stolpe
tu-dortmund.de
Phone: 0231/755-5106 Room-No.: OH12 R4.022 |
| Deuse/etal/2017a | Deuse, J. and Schmitt, J. and Stolpe, M. and Wiegand, M. and Morik, K.. Qualitätsprognosen zur Engpassentlastung in der Injektorfertigung unter Einsatz von Data Mining. In Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V., 2017. |
| Stolpe/2017a |
Marco Stolpe.
Distributed Analysis of Vertically Partitioned Sensor Measurements under Communication Constraints.
TU Dortmund University,
Dortmund,
2017.
|
| Stolpe/2016a | Marco Stolpe. The Internet of Things: Opportunities and Challenges for Distributed Data Analysis. In SIGKDD Explorations, Vol. 18, No. 1, pages 15-34, 2016. |
| Stolpe/etal/2016a |
Stolpe, Marco and Blom, Hendrik and Morik, Katharina.
Sustainable Industrial Processes by Embedded Real-Time Quality Prediction.
In
Kersting, Kristian and Lässig, Jörg and Morik, Katharina (editors),
Computational Sustainability,
pages 201--243,
Springer,
2016.
|
| Stolpe/etal/2016b | Marco Stolpe and Kanishka Bhaduri and Kamalika Das. Distributed Support Vector Machines: An Overview. In Michaelis, S. and Piatkowski, N. and Stolpe, M. (editors), Solving Large Scale Learning Tasks: Challenges and Algorithms, Vol. 9580, pages 109--138, Springer, 2016. |
| Wiegand/etal/2016a | Wiegand, Mario and Stolpe, Marco and Deuse, Jochen and Morik, Katharina. Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. In at-Automatisierungstechnik, Vol. 64, No. 7, pages 521--533, 2016. |
| Liebig/etal/2015a |
Liebig, Thomas and Stolpe, Marco and Morik, Katharina.
Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI.
In
Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2),
Vol. 1392,
pages 36--43,
CEUR-WS,
2015.
|
| Stolpe/etal/2015a | Marco Stolpe and Thomas Liebig and Katharina Morik. Communication-efficient learning of traffic flow in a network of wireless presence sensors. In Proceedings of the Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases (PDCKDD 2015), pages (to appear), CEUR-WS, 2015. |
| Bhaduri/Stolpe/2013a |
Bhaduri, Kanishka and Stolpe, Marco.
Distributed Data Mining in Sensor Networks.
In
Aggarwal, Charu C. (editors),
Managing and Mining Sensor Data,
Berlin, Heidelberg,
Springer,
2013.
|
| Bohnen/etal/2013a |
Bohnen, Fabian and Stolpe, Marco and Deuse, Jochen and Morik, Katharina.
Using a Clustering Approach with Evolutionary Optimized Attribute Weights to Form Product Families for Production Leveling.
In
Windt, Katja (editors),
Robust Manufacturing Control,
pages 189--202,
Berlin, Heidelberg,
Springer,
2013.
|
| Lieber/etal/2013a |
Lieber, Daniel and Stolpe, Marco and Konrad, Benedikt and Deuse, Jochen and Morik, Katharina.
Quality Prediction in Interlinked Manufacturing Processes based on Supervised & Unsupervised Machine Learning.
In
Procedia CIRP - 46th CIRP Conf. on Manufacturing Systems,
Vol. 7,
pages 193-198,
Elsevier,
2013.
|
| Stolpe/etal/2013a | Stolpe, M. and Bhaduri, K. and Das, K. and Morik, K.. Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. In Blockeel, Hendrik and Kersting, Kristian and Nijssen, Siegfried and \vZelezný, Filip (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III, pages 321--336, Springer, 2013. |
| Lee/etal/2012a | Lee, S. and Stolpe, M. and Morik, K.. Separable Approximate Optimization of Support Vector Machines for Distributed Sensing. In Flach, Peter A. and De Bie, Tijland and Cristianini, Nello (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II, Vol. 7524, pages 387--402, Springer, 2012. |
| Lieber/etal/2012a |
Lieber, Daniel and Konrad, Benedikt and Deuse, Jochen and Stolpe, Marco and Morik, Katharina.
Sustainable Interlinked Manufacturing Processes through Real-Time Quality Prediction.
In
Dornfeld, David A. and Linke, Barbara S. (editors),
Leveraging Technology for a Sustainable World,
pages 393-398,
CIRP,
Berlin, Heidelberg,
Springer,
2012.
|
| Fricke/etal/2011a |
Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco and Streicher, Jochen.
Towards Adjusting Mobile Devices To User's Behaviour.
In
Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin (editors),
Analysis of Social Media and Ubiquitous Data,
Vol. 6904,
pages 99--118,
Berlin, Heidelberg,
Springer,
2011.
|
| Stolpe/etal/2011a |
Stolpe, Marco and Morik, Katharina and Konrad, Benedikt and Lieber, Daniel and Deuse, Jochen.
Challenges for Data Mining on Sensor Data of Interlinked Processes.
In
Proceedings of the Next Generation Data Mining Summit (NGDM) 2011,
2011.
|
| Stolpe/Morik/2011a | Stolpe, M. and Morik, K.. Learning from Label Proportions by Optimizing Cluster Model Selection. In Gunopulos, Dimitrios and Hofmann, Thomas and Malerba, Donato and Vazirgiannis, Michalis (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III, pages 349--364, Springer, 2011. |
| Fricke/etal/2010a |
Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco.
Towards Adjusting Mobile Devices to User's Behaviour.
In
Proceedings of the International Workshop at ECML PKDD on Mining Ubiquitous and Social Environments (MUSE 2010),
pages 7 -- 22,
2010.
|
| Fricke/etal/2010b |
Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco.
Towards Adjusting Mobile Devices to User's Behaviour.
In
Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd (editors),
Lernen, Wissen & Adaptivität (LWA 2010) -- Workshop Proceedings,
pages 51--58,
2010.
|
| Fricke/etal/2010c |
Fricke, Peter and Stolpe, Marco.
Implementing Hierarchical Heavy Hitters in RapidMiner: Solutions and Open Questions.
In
Proceedings of the RapidMiner Community Meeting And Conference (RCOMM 2010),
2010.
|
| Lokuciejewski/etal/2010a |
Lokuciejewski, Paul and Stolpe, Marco and Morik, Katharina and Marwedel, Peter.
Automatic Selection of Machine Learning Models for WCET-aware Compiler Heuristic Generation.
In
Proceedings of the 4th Workshop on Statistical and Machine Learning Approaches to ARchitecture and compilaTion (SMART),
2010.
|
| Morik/etal/2010a | Morik, Katharina and Stolpe, Marco and Deuse, Jochen and Bohnen, Fabian and Reichel, Ulrich. Prognosemodelle zur Ermittlung der Produkteigenschaften -- Einsatz von Data-Mining-Verfahren im Walzwerk. In stahl und eisen, No. 10, pages 80--82, 2010. |
| Stolpe/2003a |
Stolpe, Marco.
Ein Algorithmus zur Losung des Farthest-Pair-Problems.
Universitat Dortmund,
2003.
|