Bibtex export
@article{ Almuniri2017, title = {School's Performance Evaluation Based on Data Mining}, author = {Almuniri, Ismail and Said, Aiman Moyaid}, journal = {International Journal of Engineering and Information Systems}, number = {9}, pages = {56-62}, volume = {1}, year = {2017}, urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-55182-8}, abstract = {Educational sector is significant in any society as it plays a crucial role for developing the nation. Educational evaluation determines the effectiveness of the learning process and it interests all educational stakeholders. Currently, one of the challenges that the Ministry of Education in Oman is facing is to evaluate the performance of the school; this problem can be addressed through the use of modern technologies, such as the use of data mining. This study proposes to employee data mining to link between the different performance indicators with a goal of getting complete and effective evaluation for any school. Several classification techniques were exploited to analyze school performance. The results demonstrate a high accuracy level.}, keywords = {Qualitätssicherung; classification; Datengewinnung; evaluation; Bildungswesen; Oman; Schule; school; Evaluation; Leistungsbewertung; Klassifikation; performance assessment; education system; Oman; quality assurance; data capture}}