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E-commerce big data mining and analytics

Record Type:	Electronic resources : Monograph/item
Title/Author:	E-commerce big data mining and analyticsby Jie Cao.
Author:	Cao, Jie.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xvii, 203 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electronic commerceData processing.
Online resource:	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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245 1 0 $a E-commerce big data mining and analytics $h [electronic resource] / $c by Jie Cao.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xvii, 203 p. : $b ill. (some col.), digital ; $c 24 cm.
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.
650 0 $a Electronic commerce $x Data processing. $3 670708
650 0 $a Data mining. $3 184440
650 0 $a Big data. $3 609582
650 1 4 $a e-Commerce and e-Business. $3 914907
650 2 4 $a Big Data. $3 760530
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advanced studies in e-commerce. $3 938940
856 4 0 $u https://doi.org/10.1007/978-981-99-3588-8
950 $a Computer Science (SpringerNature-11645)

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