Estimation of Well-being and Pattern Recognition of Causal Influence: A study through Big Data Analysis and Machine Learning

  • Unique Paper ID: 166399
  • Volume: 11
  • Issue: 2
  • PageNo: 653-655
  • Abstract:
  • It is thought that well-being is synonymous to happiness. But actually well-being leads to human happiness. There are many measures of happiness and well-being. This work wants to deduce the level of well-being using a set of indicators so that the level of happiness can be properly estimated. To that respect this work wants to locate the causal variables affecting the composite level of well-being and the pattern of variation in causal variables to explain the variation in composite well-being. To that respect the help of Cartesian algebra and machine learning has been taken.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{166399,
        author = {Dr. Sugata Sen and Aditi Chakraborty},
        title = {Estimation of Well-being and Pattern Recognition of Causal Influence: A study  through Big Data Analysis and Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {653-655},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166399},
        abstract = {It is thought that well-being is synonymous to happiness. But actually well-being leads to human happiness. There are many measures of happiness and well-being. This work wants to deduce the level of well-being using a set of indicators so that the level of happiness can be properly estimated. To that respect this work wants to locate the causal variables affecting the composite level of well-being and the pattern of variation in causal variables to explain the variation in composite well-being. To that respect the help of Cartesian algebra and machine learning has been taken. },
        keywords = {Pattern Recognition, Big Data analysis, Well-being},
        month = {July},
        }

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