Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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IMPROVING SOCIAL MEDIA DATA QUALITY FOR EFFECTIVE ANALYTICS: AN EMPIRICAL INVESTIGATION BASED ON E-BDMS

  • B. KARTHICK (Research Scholar, Department of Computer Science, Alagappa University) ;
  • T. MEYYAPPAN (Chairperson of Computational Sciences, Department of Computer Science, Alagappa University)
  • Received : 2023.02.21
  • Accepted : 2023.06.22
  • Published : 2023.09.30
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Abstract

Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

Keywords

Acknowledgement

We gratefully acknowledge Department of Computer Science, Alagappa University for providing the resources and support.

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