Titlebook: Advances in Data Mining: Applications and Theoretical Aspects; 15th Industrial Conf Petra Perner Conference proceedings 2015 Springer Inter

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Advances in Data Mining: Applications and Theoretical Aspects978-3-319-20910-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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On adjoint-functor factorisation,ely functional properties. The usage of function blocks to build association rules algorithms allows modifying the existing algorithms and building new algorithms with minimum effort. Besides, the function block properties allow to transform the algorithms into parallel form, thus improving their efficiency.

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Marketing und Innovationsmanagementr data mining technique used to support such segmentation – it groups customers into segments that share certain demographic or behavioural characteristics. In this research, we explore several automatic approaches which support an important task that starts . the actual clustering, namely capturing

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Schlussbetrachtungen und Implikationen,velop a methodology for retailers on how to segment their stores based on multiple data sources and how to create marketing strategies for each segment rather than mass marketing. We have analyzed a supermarket chain company, which has 73 stores located in the Istanbul area in Turkey. First, stores

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Marketing und InnovationsmanagementEHR data analysis has become a big data problem as data is growing rapidly. Using a nursing EHR system, we built predictive models for determining what factors influence pain in end-of-life (EOL) patients. Utilizing different modeling techniques, we developed coarse-grained and fine-grained models t

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On closed categories of functors II,implifies the analysis by focusing on group of genes at a time that involve in the same biological process. Pathway analysis has useful applications such as discovering diseases, diseases prevention and drug development. Different data mining approaches can be applied in pathway analysis. In this pa