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|a 9789819935888
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| 100 |
1 |
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|a Cao, Jie
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| 245 |
0 |
0 |
|a E-Commerce Big Data Mining and Analytics
|h Elektronische Ressource
|c by Jie Cao
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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| 300 |
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|a XVII, 203 p. 52 illus., 31 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction to e-commerce big data mining and analytics -- Acquisition and preprocessing of e-commerce big data -- E-commerce trajectory big data mining technology -- Fraud and anti-fraud on e-commerce platform -- Design of recommendation system on e-commerce platform -- Case study
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| 653 |
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|a Big data
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| 653 |
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|a Electronic commerce
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| 653 |
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|a e-Commerce and e-Business
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| 653 |
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|a Big Data
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Advanced Studies in E-Commerce
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| 028 |
5 |
0 |
|a 10.1007/978-981-99-3588-8
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-99-3588-8?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 381.142
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| 520 |
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|a 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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