Title :
Automatic and semantic pre ??? Selection of features using ontology for data mining on data sets related to cancer
Author :
da Silva Jacinto, Adriana ; da Silva Santos, Ricardo ; Parente de Oliveira, Jose M.
Author_Institution :
Dept. of Comput. Sci., Fac. of Technol. "Prof. Jessen Vidal" (Fatec - SJC), Sao Jose dos Campos, Brazil
Abstract :
Analysis of medical data sets can reveal important information, especially data coming from patients with cancer. That can be improved by use of data mining. However, to obtain coherent results coming from data mining, the correct selection of more semantic features should occur but, usually, that does not happen. Therefore, this work presents a proposal of automatic and semantic pre - selection of features. Four famous data sets coming from patients with cancer were used in experiments and the results show the validity of the proposal.
Keywords :
cancer; data analysis; data mining; medical computing; ontologies (artificial intelligence); automatic preselection; cancer; data mining; medical data sets; ontology; semantic preselection; Cancer; Data mining; Ontologies; Proposals; Semantics; Tumors; cancer; feature; methods; ontology; search; selection; semantic;
Conference_Titel :
Information Society (i-Society), 2014 International Conference on
Conference_Location :
London
DOI :
10.1109/i-Society.2014.7009060
