Intelligent Systems of Machine Learning Approaches for Developing E-Services Portals

Ead, Waleed M. and Abbassy, Mohamed M. (2020) Intelligent Systems of Machine Learning Approaches for Developing E-Services Portals. EAI Endorsed Transactions on Energy Web, 8 (33). e12. ISSN 2032-944X

[img]
Preview
Text
eai.2-12-2020.167292.pdf
Available under License Creative Commons Attribution No Derivatives.

Download (3MB) | Preview

Abstract

This paper provides a framework for intelligent servers that provide e-services on portals and applications for e-commerce purposes, such as an intelligent server that can dynamically plan and structure to respond to future users' needs and provide the appropriate e-services at the right time. To figure out how web users learn the log files collected from web users' connections and the internet, we use data mining techniques. In our experimental study, we use real data sets. Different data mining techniques are also used for Developing Intelligent E-Services Portals in future work, and it is a very difficult task in big data to identify regular trends. As the duration of the trends has to be discovered to expand the analytical space thatgrows exponentially.

Item Type: Article
Uncontrolled Keywords: Intelligent Servers, Web Logs, Data Mining, E-Services, E-Commerce, energy-saving applications, Machine Learning Approaches
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 09 Jul 2021 08:29
Last Modified: 09 Jul 2021 08:29
URI: https://eprints.eudl.eu/id/eprint/4363

Actions (login required)

View Item View Item