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Data Mining Approach to Decision Support in Social Welfare

Data Mining Approach to Decision Support in Social Welfare

Ricardo Anderson, Gunjan Mansingh
Copyright: © 2014 |Volume: 5 |Issue: 2 |Pages: 23
ISSN: 1947-3591|EISSN: 1947-3605|EISBN13: 9781466652965|DOI: 10.4018/ijbir.2014040103
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MLA

Anderson, Ricardo, and Gunjan Mansingh. "Data Mining Approach to Decision Support in Social Welfare." IJBIR vol.5, no.2 2014: pp.39-61. http://doi.org/10.4018/ijbir.2014040103

APA

Anderson, R. & Mansingh, G. (2014). Data Mining Approach to Decision Support in Social Welfare. International Journal of Business Intelligence Research (IJBIR), 5(2), 39-61. http://doi.org/10.4018/ijbir.2014040103

Chicago

Anderson, Ricardo, and Gunjan Mansingh. "Data Mining Approach to Decision Support in Social Welfare," International Journal of Business Intelligence Research (IJBIR) 5, no.2: 39-61. http://doi.org/10.4018/ijbir.2014040103

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Abstract

Knowledge discovery and data-mining techniques have the potential to provide insights into data that can improve decision making. This paper explores the use of data mining to extract patterns from data in the domain of social welfare. It discusses the application of the Integrated Knowledge Discovery and Data Mining process model (IKDDM) a social welfare programme in Jamaica. Further, it demonstrates how the knowledge acquired from the data is used to develop a knowledge driven decision support system (DSS) in the PATH CCT programme. This system was successfully tested in the domain showing over 94% accuracy in the comparative decisions produced.

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