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Mind the gap : accounting for measurement error and misclassification in variables generated via data mining
Yang, Mochen; Adomavicius, Gediminas; Burtch, Gordon; … - In: Information systems research : ISR 29 (2018) 1, pp. 4-24
Persistent link: https://www.econbiz.de/10011866140
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Metody ilościowe w społeczeństwie informacyjnym pod red. Czesława Domańskiego i Jadwigi Sucheckiej
Domański, Czesław (contributor);  … - 2008
Persistent link: https://www.econbiz.de/10003780735
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Applied data mining for business and industry
Giudici, Paolo; Figini, Silvia - 2009 - 2. ed.
Persistent link: https://www.econbiz.de/10003476618
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Data mining and data visualization
Rao, Calyampudi Radhakrishna (contributor) - 2005 - 1. ed.
Persistent link: https://www.econbiz.de/10002524795
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Derivation of monotone decision models from non-monotone data
Daniels, Hennie (contributor); Velikova, Marina (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001773774
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Big data in official statistics
Braaksma, Barteld; Zeelenberg, Cornelis - 2020
Persistent link: https://www.econbiz.de/10012174805
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Principles of managerial statistics and data science
Rivera, Roberto - 2020
, contingency tables, Chi-square tests, non-parametric methods, and time series method. Chapters include multiple examples showing …
Persistent link: https://www.econbiz.de/10012232114
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Principles of managerial statistics and data science
Rivera, Roberto - 2020
Persistent link: https://www.econbiz.de/10012202598