E-Commerce Big Data Mining and Analytics
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 ap...
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| Format: | eBook |
| Language: | English |
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Singapore
Springer Nature Singapore
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Advanced Studies in E-Commerce
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | XVII, 203 p. 52 illus., 31 illus. in color online resource |
| ISBN: | 9789819935888 |