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Compositional data analysis : linear algebra, visualization and interpretation
Greenacre, Michael J. - 2021
Persistent link: https://www.econbiz.de/10012803356
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Big data applications in industry 4.0
Kaliraj, P. (ed.); Thirupathi, Devi (ed.) - 2022 - First edition
"Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including artificial...
Persistent link: https://www.econbiz.de/10012628820
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Modern business analytics : practical data science for decision making
Taddy, Matt; Hendrix, Leslie; Harding, Matthew C. - 2023 - International student edition
"The practice of data analytics is changing and modernizing. Innovations in computation and machine learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate...
Persistent link: https://www.econbiz.de/10013204898
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Optimization and data analytics in waste management
Cubillos, Maximiliano - 2022
Persistent link: https://www.econbiz.de/10013189439
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Heteroscedasticity-robust model screening : a useful toolkit for model averaging in big data analytics
Xie, Tian - In: Economics letters 151 (2017), pp. 119-122
Persistent link: https://www.econbiz.de/10011742147
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Taking the fear out of data analysis : completely revised, significantly extended and still fun
Diamantopoulos, Adamantios; Schlegelmilch, Bodo B.; … - 2023 - 2nd ed.
textbook is an essential text for both undergraduate and postgraduate students in fields such as information systems …
Persistent link: https://www.econbiz.de/10014246331
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Supply chain analytics
[Amsterdam] : Elsevier - 1 (2023)-
Persistent link: https://www.econbiz.de/10014483086
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Topologische Datenanalyse : eine Einführung in die Persistente Homologie und Mapper
Nastansky, Andreas - 2019
Bei der Analyse von höherdimensionalen Daten kann deren Gestalt wichtige Informationen über den Datensatz liefern. Bei einer gegebenen Punktwolke, die aus einem unbekannten topologischen Raum ausgewählt wurde, versucht die Topologische Datenanalyse (TDA) den ursprünglichen Raum zu...
Persistent link: https://www.econbiz.de/10013483906
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Forecasting High-Frequency Volatility Shocks : An Analytical Real-Time Monitoring System
Kömm, Holger - 2016 - 1st ed. 2016
Integrated Volatility -- Zero-inflated Data Generation Processes -- Algorithmic Text Forecasting. …This thesis presents a new strategy that unites qualitative and quantitative mass data in form of text news and tick … information embedded in unexpected, but public observable text data in shock and nonshock information. The monitor is trained …
Persistent link: https://www.econbiz.de/10014018810