Title :
Mining Models for Failing Behaviors
Author :
Antunes, Cláudia
Author_Institution :
Dept. of Comput. Sci. & Eng., Tech. Univ. of Lisbon, Lisbon, Portugal
fDate :
Nov. 30 2009-Dec. 2 2009
Abstract :
Understanding the causes for failure is one of the bottlenecks in the educational process. Despite failure prediction has been pursued, models behind that prediction, most of the time, do not give a deep insight about failure causes. In this paper, we introduce a new method for mining fault trees automatically, and show that these models are a precious help on identifying direct and indirect causes for failure. An experimental study is presented in order to access the drawbacks of the proposed method.
Keywords :
data mining; educational administrative data processing; fault trees; educational process; failing behaviors; failure prediction; mining fault trees; mining models; Application software; Computer science; Design engineering; Design methodology; Failure analysis; Fault trees; Intelligent systems; Logic gates; Object oriented modeling; Predictive models; fault trees; mining behaviors; pattern mining;
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
DOI :
10.1109/ISDA.2009.122
