Classification of the financial sustainability of health insurance beneficiaries through data mining techniques

Classification of the financial sustainability of health insurance beneficiaries through data mining techniques

Advances in information technologies have led to the storage of large amounts of data by organizations. An analysis of this data through data mining techniques is important support for decision-making. This article aims to apply techniques for the classification of the beneficiaries of an operator o...

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Bibliographic Details
Main Authors: Sílvia Maria Dias Pedro Rebouças, Daniele Adelaide Brandão de Oliveira, Rômulo Alves Soares, Eugénia Maria Dores Maia Ferreira, Maria José Baltazar dos Reis de Pinto Gouveia
Format: Article
Language:English
Published: Research Centre for Tourism, Sustainability and Well-being - CinTurs; University of Algarve 2016-09-01
Series:Journal of Spatial and Organizational Dynamics
Subjects:
Data Mining
Logistic Regression
Classification Trees
Health Insurance
Online Access:http://www.cieo.pt/journal/J_3_2016/article4.pdf

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