Data Intelligent Analysis for Decision-Making at Universities
- Latifa Oubedda
- Brahim Erraha
- Mohamed Khalfaoui
Abstract
The objective of this work is to develop a decisional information system for the operation of a model consisting of key stakeholders of the university (teachers, students and administrative). This system is based on the relationship between actors and their activities and their aggregations in a graduate level. It aims to make available to managers of the university a set of dashboards that can improve the quality of education provided. We begin by modeling the actors up and study processes on their own organizations, their activities and their aggregations. We try to answer the question: how to reproduce a set of metadata specific to multidimensional databases specific to universities based on the decision.
- Full Text: PDF
- DOI:10.5539/cis.v5n4p61
Journal Metrics
WJCI (2022): 0.636
Impact Factor 2022 (by WJCI): 0.419
h-index (January 2024): 43
i10-index (January 2024): 193
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- BASE (Bielefeld Academic Search Engine)
- CiteFactor
- CNKI Scholar
- COPAC
- CrossRef
- DBLP (2008-2019)
- EBSCOhost
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- Infotrieve
- LOCKSS
- Mendeley
- PKP Open Archives Harvester
- Publons
- ResearchGate
- Scilit
- SHERPA/RoMEO
- Standard Periodical Directory
- The Index of Information Systems Journals
- The Keepers Registry
- UCR Library
- Universe Digital Library
- WJCI Report
- WorldCat
Contact
- Chris LeeEditorial Assistant
- cis@ccsenet.org