E-Commerce Big Data Mining and Analytics [electronic resource] / by Jie Cao.

Por: Cao, Jie [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Advanced Studies in E-CommerceEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XVII, 203 p. 52 illus., 31 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819935888Tema(s): Electronic commerce | Big data | e-Commerce and e-Business | Big DataFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 381.142 Clasificación LoC:HF5548.32-.33Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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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.

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