Description
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.
Table of Contents
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.
