Format:
1 Online-Ressource(XVII, 203 p. 52 illus., 31 illus. in color.)
Edition:
1st ed. 2023.
ISBN:
9789819935888
Series Statement:
Advanced Studies in E-Commerce
Content:
Introduction to e-commerce big data mining and analytics -- Acquisition and preprocessing of e-commerce big data -- E-commerce trajectory big data mining technology -- Fraud and anti-fraud on e-commerce platform -- Design of recommendation system on e-commerce platform -- Case study.
Content:
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.
Additional Edition:
9789819935871
Additional Edition:
9789819935895
Additional Edition:
9789819935901
Additional Edition:
Erscheint auch als Druck-Ausgabe 9789819935871
Additional Edition:
Erscheint auch als Druck-Ausgabe 9789819935895
Additional Edition:
Erscheint auch als Druck-Ausgabe 9789819935901
Language:
English
DOI:
10.1007/978-981-99-3588-8
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