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.
Autorius: | Jie Cao |
Serija: | Advanced Studies in E-Commerce |
Leidėjas: | Springer Nature Singapore |
Išleidimo metai: | 2023 |
Knygos puslapių skaičius: | 224 |
ISBN-10: | 9819935873 |
ISBN-13: | 9789819935871 |
Formatas: | 241 x 160 x 18 mm. Knyga kietu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „E-Commerce Big Data Mining and Analytics“