KNOWLEDGE DISCOVERY USING DATA MINING TECHNIQUES: A CASE STUDY
Oprea Cristina, Marian Zaharia, Enachescu Daniela · ANNALS OF THE ORADEA UNIVERSITY Fascicle of Management and Technological Engineering · 2010
This paper is an attempt to use data mining techniques and methods for knowledge discovery that describe the performance of first year students at the end of the first semester. The study was performed at the Faculty of Economics of the Petroleum-Gas University in Ploiesti and targeted a total of 323 students in specialties: Bank and Finance and Economic Informatics. The methods used are the algorithm “ChiSquartAttributeEval with Ranker search method for classification of attributes, and association with Apriori algorithm and ID3 classification with decision trees algorithm.