E-Commerce Big Data Mining and Analytics
Springer Nature Singapore
ISBN 9789819935888
Standardpreis
Bibliografische Daten
eBook. PDF. Weiches DRM (Wasserzeichen)
2023
XVII, 203 p. 52 illus., 31 illus. in color..
In englischer Sprache
Umfang: 203 S.
Verlag: Springer Nature Singapore
ISBN: 9789819935888
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Computer Science Computer Science (R0) Advanced Studies in E-Commerce
Produktbeschreibung
This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis. This book introduces how to achieve data acquisition and pre-processing. Specifically, this book provides three representative and interesting scenarios to demonstrate the application of e-commerce and big data analysis, i.e., trajectory big data mining technology, e-commerce fraud and anti-fraud, and recommendation system. Also this book provides the basic and illustrative operation steps of python programming language for e-commerce and big data analysis. By reading this book, readers can learn the basic concepts and principles of e-commerce and big data analysis.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Libri GmbH
Europaallee 1
36244 Bad Hersfeld, DE
gpsr@libri.de
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