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Semantic Enrichment of Relevant Feature Selection Methods for Data Mining in Oncology

In Doctoral Consortium - DC3K, 24-30, 2014 , Rome, Italy

Authors: Adriana Da Silva Jacinto 1 ; Ricardo Da Silva Santos 2 and José Maria Parente De Oliveira 3

Affiliations: 1 Aeronautics Institute of Technology and Faculty of Technology, Brazil ; 2 Aeronautics Institute of Technology and University of Mogi das Cruzes, Brazil ; 3 Aeronautics Institute of Technology, Brazil

Keyword(s): Ontology, Feature Selection Methods, Semantic Search.

Abstract: This project presents a proposal of capturing of the semantic importance of each feature by computational manner. The proposal enriches the traditional methods of feature selection by using of Natural Language Processing, the NCI ontology, WordNet and medical documents. A prototype of this approach was implemented and tested with five data sets related to cancer patients. The results show that the use of semantic improves the pre – processing by selecting of the most relevant semantic features.

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Paper citation in several formats:
Da Silva Jacinto, A.; Da Silva Santos, R. and Parente De Oliveira, J. (2014). Semantic Enrichment of Relevant Feature Selection Methods for Data Mining in Oncology. In Doctoral Consortium - DC3K, (IC3K 2014) ISBN Not Available, pages 24-30

@conference{dc3k14,
author={Adriana {Da Silva Jacinto}. and Ricardo {Da Silva Santos}. and José Maria {Parente De Oliveira}.},
title={Semantic Enrichment of Relevant Feature Selection Methods for Data Mining in Oncology},
booktitle={Doctoral Consortium - DC3K, (IC3K 2014)},
year={2014},
pages={24-30},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}

TY - CONF

JO - Doctoral Consortium - DC3K, (IC3K 2014)
TI - Semantic Enrichment of Relevant Feature Selection Methods for Data Mining in Oncology
SN - Not Available
AU - Da Silva Jacinto, A.
AU - Da Silva Santos, R.
AU - Parente De Oliveira, J.
PY - 2014
SP - 24
EP - 30
DO -

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