Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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DATA MINING-BASED MULTIDIMENSIONAL EXTRACTION METHOD FOR INDICATORS OF SOCIAL SECURITY SYSTEM FOR PEOPLE WITH DISABILITIES

  • BATYHA, RADWAN M. (Department of Computer Science, Faculty of Science and Information Technology, Irbid National University)
  • Received : 2021.09.12
  • Accepted : 2021.11.22
  • Published : 2022.01.30
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Abstract

This article examines the multidimensional index extraction method of the disability social security system based on data mining. While creating the data warehouse of the social security system for the disabled, we need to know the elements of the social security indicators for the disabled. In this context, a clustering algorithm was used to extract the indicators of the social security system for the disabled by investigating the historical dimension of social security for the disabled. The simulation results show that the index extraction method has high coverage, sensitivity and reliability. In this paper, a multidimensional extraction method is introduced to extract the indicators of the social security system for the disabled based on data mining. The simulation experiments show that the method presented in this paper is more reliable, and the indicators of social security system for the disabled extracted are more effective in practical application.

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