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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| Autor corporatiu: | |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Edició: | 1st ed. 2023. |
| Col·lecció: | Advanced Studies in E-Commerce
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| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-981-99-3588-8 |
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| Sumari: | 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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| Descripció física: | 1 online resource (XVII, 203 p. 52 illus.). 31 illus. in color. |
| ISBN: | 9789819935888 |
| DOI: | 10.1007/978-981-99-3588-8 |