E-Commerce Big Data Mining and Analytics (Advanced Studies in E-Commerce) - Hardcover

Cao, Jie

 
9789819935871: E-Commerce Big Data Mining and Analytics (Advanced Studies in E-Commerce)
Hardcover
ISBN 10: 9819935873 ISBN 13: 9789819935871
Verlag: Springer, 2023

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
9819935873
ISBN 13 
9789819935871
Einband
Gebundene Ausgabe
Anzahl der Seiten
220
Kontakt zum Hersteller
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ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

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9789819935901: E-Commerce Big Data Mining and Analytics (Advanced Studies in E-Commerce)

Vorgestellte Ausgabe

ISBN 10:  9819935903 ISBN 13:  9789819935901
Verlag: Springer, 2024
Softcover