Classification Techniques In Blood Donors Sector – A Survey

Che Khalid, Nor Syuhada and Mohd Aboobaider, Burhanuddin and Ahmad, Asmala and Abd Ghani, Mohd Khanapi (2013) Classification Techniques In Blood Donors Sector – A Survey. E-Proceeding of Software Engineering Postgraduates Workshop (SEPoW) 2013. pp. 114-118. ISSN 978-967-0257-33-4

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Abstract

This paper focuses on the classification and the recent trends associated with it. It presents a survey of the classification system and clarifies how classification and data mining are related both to each other. Classification is arranging the blood donor dataset into the predefined group and helpful to predict group membership for data instances. This enables users to search target donors become easier because the blood stocks always required replacing expired stocks after a certain period and useful in emergency demands such as surgery and blood transfusion. This paper has also sought to identify the research area in classification to fulfill gaps where further work can be carried on.

Item Type:	Article
Uncontrolled Keywords:	Classification, Data mining, Blood donors prediction
Divisions:	Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User:	Dr. Asmala Ahmad
Date Deposited:	23 Feb 2014 23:46
Last Modified:	02 Jul 2021 11:30
URI:	http://eprints.utem.edu.my/id/eprint/11270
Statistic Details:	View Download Statistic

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