Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining

International Journal of Information and Education Technology - Singapore
doi 10.18178/ijiet.2018.8.2.1020
Full Text
Abstract

Available in full text

Date
Authors
Publisher

EJournal Publishing

Related search

USE DATA MINING TO IMPROVE STUDENT RETENTION IN HIGHER EDUCATION - A Case Study

2010English

Applications of Student Data in Higher Education: Issues and Ethical Considerations

2016English

Analysis and Designing of Educational Big Data Mining System for Higher Education

2018English

Teaching Quality Monitoring of Higher Education Based on Data Mining

2018English

Cross-Disciplinary Higher Education of Data Science – Beyond the Computer Science Student

Data Science
2017English

Student Placement Prediction Model: A Data Mining Perspective for Outcome-Based Education System

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

The Seismic Transformation in Higher Education in the 21st Century: The Case for Data Analytics and Student Success

International Journal of Innovative Business Strategies
2018English

Profiling Oman Education Data Using Data Mining Approach

2017English

Measuring the Impact of Data Mining on Churn Management

Internet Research
CommunicationEconomicsSociologyEconometricsPolitical Science
2001English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy