ISBN: 9781522550297 - predictive analysis on large data for actionable knowledge: emerging research and opportunities (advances in data mining and database management) (10 resultados)

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnData analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been .…

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Condición: New. Print on Demand pp. 192.

Buch. Condición: Neu. Predictive Analysis on Large Data for Actionable Knowledge | Emerging Research and Opportunities | Muhammad Usman (u. a.) | Buch | Gebunden | Englisch | 2017 | Information Science Reference | EAN 9781522550297 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Condición: New. Print on Demand pp. 192.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends. …

Condición: New. PRINT ON DEMAND pp. 192.