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  • E-Commerce Big Data Mining and Analytics

    E-Commerce Big Data Mining and Analytics by Cao, Jie;

    Series: Advanced Studies in E-Commerce;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 69.54
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        28 841 Ft (27 468 Ft + 5% VAT)
      • Discount 20% (cc. 5 768 Ft off)
      • Discounted price 23 073 Ft (21 974 Ft + 5% VAT)

    28 841 Ft

    db

    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    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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    Table of Contents:

    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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