Henrik Grosskreutz

According to our database, Henrik Grosskreutz authored at least 30 papers between 1998 and 2013.

Collaborative distances:

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

2013

A Relevance Criterion for Sequential Patterns.

Henrik Grosskreutz, Bastian Lang, Daniel Trabold

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Towards Distributed Emerging Pattern Mining on Itemset Streams.

Björn Jacobs, Henrik Grosskreutz

Proceedings of the LWA 2013. Lernen, 2013

Parallel subgroup discovery on computing clusters - First results.

Daniel Trabold, Henrik Grosskreutz

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Class Relevant Pattern Mining in Output-Polynomial Time.

Henrik Grosskreutz

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

An enhanced relevance criterion for more concise supervised pattern discovery.

Henrik Großkreutz, Daniel Paurat, Stefan Rüping

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Secure Distributed Subgroup Discovery in Horizontally Partitioned Data.

Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping

Trans. Data Priv., 2011

Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space.

Henrik Grosskreutz, Daniel Paurat

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Privacy-Preserving Data-Mining.

Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping

Inform. Spektrum, 2010

Learning by creating and exchanging objects: The SCY experience.

Ton de Jong, Wouter R. van Joolingen, Adam Giemza, Isabelle Girault, Ulrich Hoppe, Jörg Kindermann, Anders Kluge, Ard W. Lazonder, Vibeke Vold, Armin Weinberger, Stefan Weinbrenner, Astrid Wichmann, Anjo Anjewierden, Marjolaine Bodin, Lars Bollen, Cédric D'Ham, Jan Dolonen, Jan Engler, Caspar Geraedts, Henrik Grosskreutz, Tasos Hovardas, Rachel Julien, Judith Lechner, Sten R. Ludvigsen, Yuri Matteman, Øyvind Meistadt, Bjørge Næss, Muriel Ney, Margus Pedaste, Anthony Perritano, Marieke Rinket, Henrik Von Schlanbusch, Tago Sarapuu, Florian Schulz, Jakob Sikken, James D. Slotta, Jeremy Toussaint, Alex Verkade, Claire Wajeman, Barbara Wasson, Zacharias C. Zacharia, Martine Van Der Zanden

Br. J. Educ. Technol., 2010

Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining.

Mario Boley, Thomas Gärtner, Henrik Grosskreutz

Proceedings of the SIAM International Conference on Data Mining, 2010

Secure Top-k Subgroup Discovery.

Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping

Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining.

Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes

Proceedings of the Discovery Science - 13th International Conference, 2010

2009

Approximating the number of frequent sets in dense data.

Mario Boley, Henrik Grosskreutz

Knowl. Inf. Syst., 2009

On subgroup discovery in numerical domains.

Henrik Grosskreutz, Stefan Rüping

Data Min. Knowl. Discov., 2009

Non-redundant Subgroup Discovery Using a Closure System.

Mario Boley, Henrik Grosskreutz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008

Procurement Fraud Discovery using Similarity Measure Learning.

Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz

Trans. Case Based Reason., 2008

Tight Optimistic Estimates for Fast Subgroup Discovery.

Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A Randomized Approach for Approximating the Number of Frequent Sets.

Mario Boley, Henrik Grosskreutz

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005

Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior.

Michael Beetz, Henrik Grosskreutz

J. Artif. Intell. Res., 2005

2003

ccGolog -- A Logical Language Dealing with Continuous Change.

Henrik Grosskreutz, Gerhard Lakemeyer

Log. J. IGPL, 2003

Probabilistic Complex Actions in GOLOG.

Henrik Grosskreutz, Gerhard Lakemeyer

Fundam. Informaticae, 2003

2001

Integrated Plan-Based Control of Autonomous Robots in Human Environments.

Michael Beetz, Tom Arbuckle, Thorsten Belker, Armin B. Cremers, Dirk Schulz, Maren Bennewitz, Wolfram Burgard, Dirk Hähnel, Dieter Fox, Henrik Grosskreutz

IEEE Intell. Syst., 2001

Belief Update in the pGOLOG Framework.

Henrik Grosskreutz, Gerhard Lakemeyer

Proceedings of the KI 2001: Advances in Artificial Intelligence, 2001

On-Line Execution of cc-Golog Plans.

Henrik Grosskreutz, Gerhard Lakemeyer

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Towards more Realistic Logic-based Robot Controllers in the GOLOG Framework.

Henrik Grosskreutz, Gerhard Lakemeyer

Künstliche Intell., 2000

Probabilistic Projection and Belief Update in the pGOLOG Framework.

Henrik Grosskreutz

Proceedings of the Informatik 2000, 2000

Turning High-Level Plans into Robot Programs in Uncertain Domains.

Henrik Grosskreutz, Gerhard Lakemeyer

Proceedings of the ECAI 2000, 2000

cc-Golog: Towards More Realistic Logic-Based Robot Controllers.

Henrik Grosskreutz, Gerhard Lakemeyer

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Probabilistic, Prediction-Based Schedule Debugging for Autonomous Robot Office Couriers.

Michael Beetz, Maren Bennewitz, Henrik Grosskreutz

Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

1998

Causal Models of Mobile Service Robot Behavior.

Michael Beetz, Henrik Grosskreutz

Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, 1998