DocumentCode :
3134828
Title :
Smarter software engineering: practical data mining approaches
Author :
Menzies, Tim ; Boetticher, Gary D.
Author_Institution :
West Virginia Univ., Morgantown, WV, USA
fYear :
2002
fDate :
2002
Firstpage :
1
Lastpage :
38
Abstract :
Practical data mining approaches are discussed including: neural nets; genetic algorithms; decision trees; association rules; treatment learning; early lifecycle project planning; Bayesian tuning and inductive logic programming.
Keywords :
belief networks; data mining; decision trees; genetic algorithms; inductive logic programming; learning (artificial intelligence); neural nets; Bayesian tuning; association rules; decision trees; early lifecycle project planning; genetic algorithms; inductive logic programming; neural nets; practical data mining; treatment learning; Association rules; Bayesian methods; Conferences; Data mining; Decision trees; Genetic algorithms; Logic; NASA; Neural networks; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Workshop - Tutorial Notes, 2002. Proceedings. 27th Annual NASA Goddard
Print_ISBN :
0-7695-1854-0
Type :
conf
DOI :
10.1109/NASASE.2002.1176229
Filename :
1176229
Link To Document :
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