TY - BOOK ID - 119356135 TI - E-Commerce Big Data Mining and Analytics PY - 2023 SN - 9819935881 9819935873 PB - Singapore : Springer Nature Singapore : Imprint: Springer, DB - UniCat KW - Electronic commerce. KW - Big data. KW - e-Commerce and e-Business. KW - Big Data. KW - Data sets, Large KW - Large data sets KW - Data sets KW - Cybercommerce KW - E-business KW - E-commerce KW - E-tailing KW - eBusiness KW - eCommerce KW - Electronic business KW - Internet commerce KW - Internet retailing KW - Online commerce KW - Web retailing KW - Commerce KW - Information superhighway UR - https://www.unicat.be/uniCat?func=search&query=sysid:119356135 AB - 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. ER -