DocumentCode
1639256
Title
Techniques for evolutionary rule discovery in data mining
Author
Cattral, Robert ; Oppacher, Franz ; Graham, K. J Lee
Author_Institution
Carleton Univ., Ottawa, ON
fYear
2009
Firstpage
1737
Lastpage
1744
Abstract
EvRFind is an application used for the task of rule discovery in data mining. This paper describes various techniques used by EvRFind to enhance an evolutionary search for the purpose of rule discovery. Although some of the techniques are non-evolutionary by design, these still rely on evolution to guide the process. Results of experiments are compared to those found in other published work.
Keywords
data mining; evolutionary computation; EvRFind; data mining; evolutionary rule discovery; evolutionary search; Algorithm design and analysis; Data mining; Databases; Decoding; Genetic algorithms; Logic; Machine learning; Machine learning algorithms; Predictive models; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
978-1-4244-2959-2
Type
conf
DOI
10.1109/CEC.2009.4983151
Filename
4983151
Link To Document