한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2013년도 춘계학술발표대회
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- Pages.474-475
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- 2013
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
헬스케어 시스템을 위한 세단계 데이터 축소 모델
A Three Steps Data Reduction Model for Healthcare Systems
- Ali, Rahman (Dept. of Computer Engineering, Kyung Hee University) ;
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Lee, Sungyoung
(Dept. of Computer Engineering, Kyung Hee University) ;
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Chung, Tae Choong
(Dept. of Computer Engineering, Kyung Hee University)
- 발행 : 2013.05.10
초록
In healthcare systems, the accuracy of a classifier for classifying medical diseases depends on a reduced dataset. Key to achieve true classification results is the reduction of data to a set of optimal number of significant features. The initial step towards data reduction is the integration of heterogeneous data sources to a unified reduced dataset which is further reduced by considering the range of values of all the attributes and then finally filtering and dropping out the least significant features from the dataset. This paper proposes a three step data reduction model which plays a vital role in the classification process.
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