Christian Borgelt
Christian Borgelt
Professor for Data Science, Paris Lodron University of Salzburg
Verified email at - Homepage
Cited by
Cited by
Mining molecular fragments: Finding relevant substructures of molecules
C Borgelt, MR Berthold
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 51-58, 2002
Efficient implementations of apriori and eclat
C Borgelt
Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining …, 2003
Computational intelligence
R Kruse, C Borgelt, C Braune, S Mostaghim, M Steinbrecher, F Klawonn, ...
Vieweg+ Teubner Verlag, 2011
Induction of association rules: Apriori implementation
C Borgelt, R Kruse
Proceedings of the 15th Conference on Computational Statistics, 395-400, 2002
An Implementation of FP-Growth Algorithm
C Borgelt
Viewed, 2010
Frequent item set mining
C Borgelt
Wiley interdisciplinary reviews: data mining and knowledge discovery 2 (6 …, 2012
Graphical models
C Borgelt, J Gebhardt, R Kruse
In Proceedings of International School for the Synthesis of Expert Knowledge …, 2002
Guide to intelligent data analysis: how to intelligently make sense of real data
M Berthold, C Borgelt, F Höppner, F Klawonn
Springer, 2010
An extension to possibilistic fuzzy cluster analysis
H Timm, C Borgelt, C Döring, R Kruse
Fuzzy Sets and systems 147 (1), 3-16, 2004
Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings
MR Berthold, HJ Lenz, E Bradley, R Kruse, C Borgelt
Springer, 2003
Keeping things simple: finding frequent item sets by recursive elimination
C Borgelt
Proceedings of the 1st international workshop on open source data mining …, 2005
Neuro-Fuzzy-Systeme: Von den Grundlagen künstlicher Neuronaler Netze zur Kopplung mit Fuzzy-Systemen. 3
C Borgelt, F Klawonn, R Kruse, D Nauck
Aufl. Wiesbaden: Vieweg, 2003
Possibilistic graphical models
C Borgelt, J Gebhardt, R Kruse
Computational Intelligence in Data Mining, 51-67, 2000
Graphical models: representations for learning, reasoning and data mining
C Borgelt, M Steinbrecher, RR Kruse
Wiley, 2009
Support computation for mining frequent subgraphs in a single graph
M Fiedler, C Borgelt
Proc. 5th Int. Workshop on Mining and Learning with Graphs (MLG 2007 …, 2007
Canonical forms for frequent graph mining
C Borgelt
Advances in Data Analysis, 337-349, 2007
Recursion pruning for the apriori algorithm
C Borgelt
Proc. 2nd IEEE ICDM Workshop on Frequent Item Set Mining Implementations …, 2004
Prototype-based classification and clustering
C Borgelt
Universitätsbibliothek, 2006
Subgraph support in a single large graph
M Fiedler, C Borgelt
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007
Moss: a program for molecular substructure mining
C Borgelt, T Meinl, M Berthold
Proceedings of the 1st international workshop on open source data mining …, 2005
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