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Handbuch Data Mining im Marketing : Knowledge Discovery in Marketing Databases
Hippner, Hajo (ed.) - 2001 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001409844
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Handbuch Web Mining im Marketing : Konzepte, Systeme, Fallstudien
Hippner, Hajo (ed.); Merzenich, Melanie (contributor);  … - 2002 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001646789
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An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
Shankar, Venkatesh; Parsana, Sohil - In: Journal of the Academy of Marketing Science 50 (2022) 6, pp. 1324-1350
Persistent link: https://www.econbiz.de/10013463931
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Stichprobenbasierte Assoziationsanalyse im Rahmen des Knowledge Discovery in Databases
Beekmann, Frank - 2003 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001759068
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Knowledge discovery in databases : Techniken und Anwendungen
Ester, Martin; Sander, Jörg - 2000
Persistent link: https://www.econbiz.de/10001495158
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Knowledge Discovery in Databases
Düsing, Roland - 2000
Persistent link: https://www.econbiz.de/10001490226
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Power-level sampling of metal cutting machines for data representation in discrete event simulation
Johansson, Björn; Skoogh, Anders; Andersson, Jon; … - In: International journal of production research 53 (2015) 23/24, pp. 7060-7070
Persistent link: https://www.econbiz.de/10011431629
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Data clustering : review and investigation of parallel genetic algorithms for revealing clusters
Dehuri, Satchidananda; Mishra, Bhabani Shankar Prasad; … - In: International journal of applied management science 6 (2014) 3, pp. 212-243
Persistent link: https://www.econbiz.de/10011284563
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Insolvency prediction in the presence of data inconsistencies
Mendes, A.; Cardoso, R. L.; Mário, P. C.; Martinez, A. L. - In: Intelligent systems in accounting finance and … 21 (2014) 3, pp. 155-167
Persistent link: https://www.econbiz.de/10011348621
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Rule mining for scheduling cross training with a heterogeneous workforce
Kim, Sungsu; Nembhard, David A. - In: International journal of production research 51 (2013) 8, pp. 2281-2300
Persistent link: https://www.econbiz.de/10009731488