id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3vq4z57v65enhnkvtjrsqjz3ta	Renza Campagni	Data mining models for student careers	2015	3	.pdf	application/pdf	2154	129	54	Data mining models for student careers Data mining models for student careers This paper presents a data mining methodology to analyze the careers of University graduated students. We present different approaches based on clustering and sequential patterns techniques in order to identify strategies for improving the performance of students and the scheduling of exams. the study of data mining techniques applied to small data sets concerning higher education institutions and concludes that the use of Somnuk, and Beikzadeh (2008), a model is proposed which presents the advantages of data mining technology in higher educational systems; the authors give a sort of road map to assist the Damaševičius (2010) a framework is proposed for mining educational data using association rules. 2014) applies frequent itemset mining and association rule learning to students previously grouped by clustering techniques. The existing literature about the use of data mining in educational	./cache/work_3vq4z57v65enhnkvtjrsqjz3ta.pdf	./txt/work_3vq4z57v65enhnkvtjrsqjz3ta.txt