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E-commerce big data mining and analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	E-commerce big data mining and analyticsby Jie Cao.
作者:	Cao, Jie.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xvii, 203 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Electronic commerceData processing.
電子資源:	https://doi.org/10.1007/978-981-99-3588-8
ISBN:	9789819935888$q(electronic bk.)

E-commerce big data mining and analytics
Cao, Jie.

E-commerce big data mining and analytics[electronic resource] /by Jie Cao. - Singapore :Springer Nature Singapore :2023. - xvii, 203 p. :ill. (some col.), digital ;24 cm. - Advanced studies in e-commerce. - Advanced studies in e-commerce..

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.

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.

ISBN: 9789819935888$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3588-8doiSubjects--Topical Terms:

670708
Electronic commerce
--Data processing.

LC Class. No.: HF5548.32

Dewey Class. No.: 381.142

E-commerce big data mining and analytics
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490 1 $a Advanced studies in e-commerce
505 0 $a 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.
520 $a 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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