Home // DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Improving the Quality of Knowledge Discovery Process by Information Gain Computing'
Authors:
Dumitru Dan Burdescu
Marian Cristian Mihaescu
Bogdan Logofatu
Costel Marian Ionascu
Keywords: knowledge discovery; M Tree; information gain; e-Learning
Abstract:
Knowledge discovery process is one of the key activities in improving the quality of a system. This paper presents a custom approach for improving the quality of a knowledge discovery process based on information gain computing. The baseline knowledge discovery process is based of M Trees and is used to cluster learners from an e-Learning environment based on parameters representing performed activities. The baseline process is improved by assigning weights to each parameters according with the information gain computed for each parameter.
Pages: 38 to 44
Copyright: Copyright (c) IARIA, 2012
Publication date: February 29, 2012
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-185-4
Location: Saint Gilles, Reunion
Dates: from February 29, 2012 to March 5, 2012