E-commerce big data mining and analytics

By:

Cao, Jie

Material type: Text

TextSeries: Advanced Studies in E-Commerce (ASEC)Publication details: Singapore Springer 2023Description: xvii, 203 pISBN:

9789819935901

Subject(s):

DDC classification:

006.31 CAO

Summary: 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. (https://link.springer.com/book/10.1007/978-981-99-3588-8)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 CAO (Browse shelf(Opens below))	1	Available		009138

Table of contents:
Front Matter
Pages i-xvii
Download chapter PDF
Introduction
Jie Cao
Pages 1-18
Data Collection in the Era of Big Data
Jie Cao
Pages 19-28
Pre-processing Big Data for Business
Jie Cao
Pages 29-40
Big Data Database for Business
Jie Cao
Pages 41-74
Security Management on Big Data of Business
Jie Cao
Pages 75-98
Big Commerce Data Knowledge Representation
Jie Cao
Pages 99-111
Business Big Data Knowledge Fusion
Jie Cao
Pages 113-124
Common Business Big Data Management and Decision Model
Jie Cao
Pages 125-180
Application of Business Big Data Management and Decision Making
Jie Cao
Pages 181-203

[https://link.springer.com/book/10.1007/978-981-99-3588-8]

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.

(https://link.springer.com/book/10.1007/978-981-99-3588-8)

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