Automatic and semantic pre — Selection of features using ontology for data mining on data sets related to cancer

Autor:	José Maria Parente de Oliveira, Adriana da Silva Jacinto, Ricardo S. Santos
Rok vydání:	2014
Předmět:	Information retrieval Computer science Semantic computing Ontology-based data integration Selection (linguistics) Data mining Pre selection Ontology (information science) Semantics computer.software_genre computer
Zdroj:	International Conference on Information Society (i-Society 2014).
DOI:	10.1109/i-society.2014.7009060
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f43a62d81385ea57333493f98c60a256 https://doi.org/10.1109/i-society.2014.7009060 Zobrazit plný text záznamu