Cantitate/Preț
Produs

E-Commerce Big Data Mining and Analytics: Advanced Studies in E-Commerce

Autor Jie Cao
en Limba Engleză Hardback – 30 iul 2023
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.
Citește tot Restrânge

Din seria Advanced Studies in E-Commerce

Preț: 47455 lei

Puncte Express: 712

Carte tipărită la comandă

Livrare economică 08-22 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9789819935871
ISBN-10: 9819935873
Pagini: 224
Ilustrații: XVII, 203 p. 52 illus., 31 illus. in color.
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.51 kg
Ediția:1st ed. 2023
Editura: Springer
Colecția Advanced Studies in E-Commerce
Seria Advanced Studies in E-Commerce

Locul publicării:Singapore, Singapore

Cuprins

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.

Notă biografică

Jie Cao, born in 1969, received his Ph.D. degree in engineering from South-east University in 2002, Ph.D. supervisor, part-time doctoral supervisor of Nan-jing University of Science and Technology and Hohai University. He has pub-lished more than 100 papers in TKDE, TPDS, TKDD, TWeb, TCyb, TNNLS, TII, TIST, InfSci, KDD, ICDM and other domestic and international journals and con-ferences, and the total number of citations exceeds 5,000, among which more than 100 are indexed by SCI. He was appointed as an editorial board member of Neu-rocomputing and World Wide Web Journal.

Textul de pe ultima copertă

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.

Caracteristici

Give the preliminary introduction of e-commerce and big data analysis Provide three representative scenarios to make it easier for readers to deepen the understanding Offers guide to build a programming environment for finishing real operation of analyzing e-commerce big data

Descriere

Descriere de la o altă ediție sau format:
This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis.