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Temporal analysis of clusters of supermarket customers: conventional versus interval set approach.

, , , and . Inf. Sci., 172 (1-2): 215-240 (2005)

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Selected Papers from the EUROSIM Congress '2010., , and . Simul. Model. Pract. Theory, (2013)Digital archiving of specific scientific information in the Czech Republic., , , and . Data Sci. J., (2005)Temporal Hebbian Self-Organizing Map for Sequences., and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 632-641. Springer, (2008)Beyond Limits in Kohonen's Self-Organized Clustering. Summer Computer Simulation Conference 2003, (2003)Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home., , , and . EMS, page 154-159. IEEE Computer Society, (2009)Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets., , and . Web Intell. Agent Syst., 2 (3): 217-225 (2004)Simulation of Myocardial Fibre Action Potential Generation Units on the Delft Parallel Processor., , and . ESC, volume 71 of Informatik-Fachberichte, page 538-548. Springer, (1983)ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers., , and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 768-777. Springer, (2008)Scalability of predictive ensembles., , , and . CSIT (1), page 555-560. IEEE, (2017)Clustering Supermarket Customers Using Rough Set Based Kohonen Networks., , , and . ISMIS, volume 2871 of Lecture Notes in Computer Science, page 169-173. Springer, (2003)