Title :
A Novel Ontology-Aided Method for Integrating Prior Knowledge into Data Mining
Author :
Li, Guoqi ; Lu, Minyan ; Liu, Bin
Author_Institution :
Dept. of Syst. Eng. of Eng. Technol., Beihang Univ., Beijing, China
fDate :
March 31 2009-April 2 2009
Abstract :
Integrating prior knowledge into data mining is a widely interested topic. This paper firstly introduces the ontology-aided method and its application. Secondly, the methodology of our novel method is presented and then a case study is given. In the case study, on the base of analysis of former method, the detail of the novel method is described and testing on a public available dataset shows satisfied results. Finally, we draw conclusions and address future works.
Keywords :
data mining; ontologies (artificial intelligence); data mining; ontology-aided method; prior knowledge; public available dataset; Computer science; Data engineering; Data mining; Economic forecasting; Feature extraction; Knowledge engineering; Neural networks; Ontologies; Support vector machines; Testing; Data processing; Knowledge representation; Prediction methods;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.582
