E-Commerce Big Data Mining and Analytics
Springer Nature Singapore
ISBN 9789819935888
Standardpreis
Bibliografische Daten
eBook. PDF
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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