DocumentCode
2832317
Title
Mining Models for Failing Behaviors
Author
Antunes, Cláudia
Author_Institution
Dept. of Comput. Sci. & Eng., Tech. Univ. of Lisbon, Lisbon, Portugal
fYear
2009
fDate
Nov. 30 2009-Dec. 2 2009
Firstpage
1102
Lastpage
1107
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISDA.2009.122
Filename
5364202
Link To Document