E-Commerce Big Data Mining and Analytics
Cao, Jie.
E-Commerce Big Data Mining and Analytics [electronic resource] / by Jie Cao. - 1st ed. 2023. - XVII, 203 p. 52 illus., 31 illus. in color. online resource. - 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.
9789819935888
10.1007/978-981-99-3588-8 doi
Electronic commerce.
Big data.
e-Commerce and e-Business.
Big Data.
HF5548.32-.33
381.142
E-Commerce Big Data Mining and Analytics [electronic resource] / by Jie Cao. - 1st ed. 2023. - XVII, 203 p. 52 illus., 31 illus. in color. online resource. - 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.
9789819935888
10.1007/978-981-99-3588-8 doi
Electronic commerce.
Big data.
e-Commerce and e-Business.
Big Data.
HF5548.32-.33
381.142