Title :
Techniques for evolutionary rule discovery in data mining
Author :
Cattral, Robert ; Oppacher, Franz ; Graham, K. J Lee
Author_Institution :
Carleton Univ., Ottawa, ON
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;
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
DOI :
10.1109/CEC.2009.4983151
