📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Using data mining techniques to predict students at risk of poor performance (2016)

First Author: Alharbi Z

Attributed to: Smart Data Analytics for Business and Local Government funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/sai.2016.7556030

Publication URI: http://dx.doi.org/10.1109/sai.2016.7556030

Type: Conference/Paper/Proceeding/Abstract