E-Commerce Big Data Mining and Analytics by Jie Cao (.ePUB)+
File Size: 17.6 MB
E-Commerce Big Data Mining and Analytics by Jie Cao
Requirements: .ePUB, .PDF reader, 17.6 MB | True PDF, True EPUB
Overview: Give the preliminary introduction of e-commerce and Big Data analysis. Offers guide to build a programming environment for finishing real operation of analyzing e-commerce Big Data. 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. In order to better read and understand this book, it is recommended that readers learn some simple programming in Python for Big Data and have some basic knowledge of data mining. By reading this book, readers can learn the basic concepts and principles of e-commerce and Big Data analysis.
Genre: Non-Fiction > Tech & Devices
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