Paul Elzinga
According to our database1,
Paul Elzinga
authored at least 19 papers
between 2008 and 2012.
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Bibliography
2012
Int. J. Gen. Syst., 2012
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012
Proceedings of the Formal Concept Analysis - 10th International Conference, 2012
Analyzing Chat Conversations of Pedophiles with Temporal Relational Semantic Systems.
Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012
2011
Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence.
Appl. Soft Comput., 2011
Text Mining Scientific Papers: a Survey on FCA-based Information Retrieval Research.
Proceedings of the Advances in Data Mining. 11th Industrial Conference, 2011
Proceedings of the Conceptual Structures for Discovering Knowledge, 2011
2010
Curbing domestic violence: instantiating C-K theory with formal concept analysis and emergent self-organizing maps.
Intell. Syst. Account. Finance Manag., 2010
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010
Proceedings of the 2nd International Conference on Intelligent Networking and Collaborative Systems, 2010
Proceedings of the Conceptual Structures: From Information to Intelligence, 2010
2009
Expert Syst. Appl., 2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009
Detecting Domestic Violence - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps.
Proceedings of the ICEIS 2009, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008
An Exploration into the Power of Formal Concept Analysis for Domestic Violence Analysis.
Proceedings of the Advances in Data Mining. Medical Applications, 2008