Cited By
View all- Samwinga VZulu SAdeyemi T(2023)A Scientometric Analysis of Wellbeing Research in the Construction IndustrySustainability10.3390/su15241666215:24(16662)Online publication date: 8-Dec-2023
Removing Unclassified Elements in Investigating of Financial Wellbeing Attributes Using Rough-Regression Model
Pages 87 - 90
Abstract
In economics research survey, the causal relationship between independent and dependent attributes has been frequently investigated by using regression linear models. However, not easy to achieve the high R-square value between both attributes if there are too many unclassified elements in data sets. This paper presents removing unclassified elements in conventional regression model using rough sets approximation. The proposed model is address to handle the unclassified academic staffs in data set which less contribution for supporting financial wellbeing decision. The result showed that number of unclassified staff has a positive effect to increase coefficient determination (R-square) value in the regression model. In this case study, the financial wellbeing of academic staff is significantly influenced by two different attributes, namely, financial behavior and financial stress. It also may help decision makers or universities management in improving their staff in financial wellness and wellbeing.
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Index Terms
- Removing Unclassified Elements in Investigating of Financial Wellbeing Attributes Using Rough-Regression Model
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Published In
February 2019
611 pages
ISBN:9781450365734
DOI:10.1145/3316615
Copyright © 2019 ACM.
© 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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- University of New Brunswick: University of New Brunswick
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Published: 19 February 2019
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ICSCA '19
ICSCA '19: 2019 8th International Conference on Software and Computer Applications
February 19 - 21, 2019
Penang, Malaysia
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View all- Samwinga VZulu SAdeyemi T(2023)A Scientometric Analysis of Wellbeing Research in the Construction IndustrySustainability10.3390/su15241666215:24(16662)Online publication date: 8-Dec-2023
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