id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5q5kihz46jaevgqzflwcshzajm	C. Romero	Educational data mining: A survey from 1995 to 2005	2007	13	.pdf	application/pdf	10462	1010	54	This paper surveys the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems. After preprocessing the available data in each case, data mining techniques can be applied: statistics and visualization; clustering, classification and outlier detection; association rule mining and pattern mining; and text mining. there is a growing interest in the automatic analysis of learner interaction data with web-based learning environments Some specific educational data mining, statistics and visualization tools of the first articles about the use of data mining in education to understand the student enrollment was written by These web-based education systems can normally record the student's accesses in web logs that provide (Li & Zaı̈ane, 2004): offline web mining, that is used to discover patterns and other useful information to help educators to validate the learning models and restructure the web	./cache/work_5q5kihz46jaevgqzflwcshzajm.pdf	./txt/work_5q5kihz46jaevgqzflwcshzajm.txt