Ralf Klinkenberg

According to our database, Ralf Klinkenberg authored at least 17 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform.

Nikos Giatrakos, Elias Alevizos, Antonios Deligiannakis, Ralf Klinkenberg, Alexander Artikis

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Real-time big data stream analytics and complex event detection: modular visual framework, data science platform, and industry applications.

Ralf Klinkenberg

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data.

Marios Vodas, Konstantina Bereta, Dimitris Kladis, Dimitris Zissis, Elias Alevizos, Emmanouil Ntoulias, Alexander Artikis, Antonios Deligiannakis, Antonios Kontaxakis, Nikos Giatrakos, David Arnu, Edwin Yaqub, Fabian Temme, Mate Torok, Ralf Klinkenberg

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

INforE: Interactive Cross-platform Analytics for Everyone.

Nikos Giatrakos, David Arnu, Theodoros Bitsakis, Antonios Deligiannakis, Minos N. Garofalakis, Ralf Klinkenberg, Aris Konidaris, Antonis Kontaxakis, Yannis Kotidis, Vasilis Samoladas, Alkis Simitsis, George Stamatakis, Fabian Temme, Mate Torok, Edwin Yaqub, Arnau Montagud, Miguel Ponce de Leon, Holger Arndt, Stefan Burkard

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Conception of a Reference Architecture for Machine Learning in the Process Industry.

René Wöstmann, Philipp Schlunder, Fabian Temme, Ralf Klinkenberg, Josef Kimberger, Andrea Spichtinger, Markus Goldhacker, Jochen Deuse

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Interactive Extreme: Scale Analytics Towards Battling Cancer.

Nikos Giatrakos, Nikos Katzouris, Antonios Deligiannakis, Alexander Artikis, Minos N. Garofalakis, George Paliouras, Holger Arndt, Raffaele Grasso, Ralf Klinkenberg, Miguel Ponce de Leon, Gian Gaetano Tartaglia, Alfonso Valencia, Dimitrios Zissis

IEEE Technol. Soc. Mag., 2019

2018

Density- and Correlation-based Table Extension.

Benedikt Kleppmann, Christian Bizer, Edwin Yaqub, Fabian Temme, Philipp Schlunder, David Arnu, Ralf Klinkenberg

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

2016

Defining software architectures for big data enabled operator support systems.

Benjamin Klöpper, Marcel Dix, Lukas Schorer, Ann Ampofo, Martin Atzmueller, David Arnu, Ralf Klinkenberg

Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

2008

Knowledge discovery from data streams.

João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg

Intell. Data Anal., 2008

2007

Boosting classifiers for drifting concepts.

Martin Scholz, Ralf Klinkenberg

Intell. Data Anal., 2007

Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics.

Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann

Proceedings of the LWA 2007: Lernen - Wissen, 2007

2006

YALE: rapid prototyping for complex data mining tasks.

Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift.

Ralf Klinkenberg

Proceedings of the Lernen, 2005

2004

Learning drifting concepts: Example selection vs. example weighting.

Ralf Klinkenberg

Intell. Data Anal., 2004

2003

Evolutionary Feature Space Transformation Using Type-Restricted Generators.

Oliver Ritthoff, Ralf Klinkenberg

Proceedings of the Genetic and Evolutionary Computation, 2003

Concept Drift and the Importance of Example.

Ralf Klinkenberg, Stefan Rüping

Proceedings of the Text Mining, Theoretical Aspects and Applications, 2003

2000

Detecting Concept Drift with Support Vector Machines.

Ralf Klinkenberg, Thorsten Joachims

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000