E-commerce Big Data Mining and Analytics (1st ed. 2023)


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.

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Product 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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advanced Studies in E-Commerce

Release date

August 2023

Availability

Expected to ship within 10 - 15 working days

Authors

Dimensions

235 x 155mm (L x W)

Pages

203

Edition

1st ed. 2023

ISBN-13

978-981-9935-87-1

Barcode

9789819935871

Categories

LSN

981-9935-87-3



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