@inproceedings{ef36fb2ff548453887f15310ee3d76a1,
title = "Integrating machine learning technology to data analytics for e-commerce on cloud",
abstract = "This paper presents the technical challenges faced by e-commerce players and how cloud computing has been designed and developed to handle these technical challenges. Once these technical challenges have been handled, another challenge of building data analytics on cloud platforms come out. This paper also highlights the main reasons of driving organizations to build data analytics on cloud. Besides, this paper exhibits how to integrate machine learning models to the data analytic processes, for making more sophisticated analysis for e-commerce activities. The platform Amazon SageMaker is adopted to illustrate how machine learning models were integrated in the data analytic processes. The public cloud platform Amazon Web Services is used to present how machine learning models were integrated in the practices with a real-life c-commerce case.",
keywords = "Cloud Computing, Data Analytics, E-Commerce, Machine Learning",
author = "John Yeung and Simon Wong and Alvin Tam and Joseph So",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 ; Conference date: 30-07-2019 Through 31-07-2019",
year = "2019",
month = jul,
doi = "10.1109/WorldS4.2019.8904026",
language = "English",
series = "Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "105--109",
editor = "Xin-She Yang and Nilanjan Dey and Amit Joshi",
booktitle = "Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019",
}