E-Commerce Big Data Mining and Analytics
Series: Advanced Studies in E-Commerce;
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22 184 Ft (21 128 Ft + 5% VAT)
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22 184 Ft
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Product details:
- Edition number 2023
- Publisher Springer Nature Singapore
- Date of Publication 31 July 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819935901
- Binding Paperback
- See also 9789819935871
- No. of pages203 pages
- Size 235x155 mm
- Language English
- Illustrations XVII, 203 p. 52 illus., 31 illus. in color. Illustrations, black & white 583
Categories
Long 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.
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