E-Commerce Big Data Mining and Analytics / Advanced Studies in E-Commerce (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Jie Cao
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.
Bibliographische Angaben
- Autor: Jie Cao
- 2023, 1st ed. 2023, 203 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819935881
- ISBN-13: 9789819935888
- Erscheinungsdatum: 29.07.2023
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- Dateiformat: PDF
- Grösse: 4.64 MB
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Sprache:
Englisch
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