E-Commerce Big Data Mining and Analytics by Cao, Jie;

Series: Advanced Studies in E-Commerce;

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Product details:

Edition number 2023
Publisher Springer Nature Singapore
Date of Publication 30 July 2023
Number of Volumes 1 pieces, Book

ISBN 9789819935871
Binding Hardback
No. of pages203 pages
Size 235x155 mm
Weight 506 g
Language English
Illustrations XVII, 203 p. 52 illus., 31 illus. in color. Illustrations, black & white

Categories

Probability and mathematical statistics Data management in computer systems Database management softwares Office softwares, spreadsheets General economic, business books Sales, Trade More books in the field of economy Internet services (online shopping, banking) Probability and mathematical statistics (charity campaign) Data management in computer systems (charity campaign) Database management softwares (charity campaign) Office softwares, spreadsheets (charity campaign) General economic, business books (charity campaign) Sales, Trade (charity campaign) More books in the field of economy (charity campaign) Internet services (online shopping, banking) (charity campaign)

Long description:

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.