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