Data Mining and Processing in the Age of Big Data and Artificial Intelligence - Issues, Privacy, and Ethical Considerations

Saransh Arora

Abstract:

The integration of big data and AI, which is at present a most crucial development in data mining and processing, can be regarded as the beginning of a new era in the field of science and technology. The research primarily
focuses on using ML and data mining methods to forecast
cardiac diseases. It also identifies the most efficient and
effective approaches for managing enormous datasets and
producing accurate forecasts. The results show that LightGBM
comes in second with 93.8% accuracy and AdaBoost with
95.2% accuracy. The accuracy rates of other models, such
KNN and Naive Bayes, are 88.52% and 90.56%, respectively.
These results highlight how sophisticated machine learning
algorithms might improve a predicted accuracy of heart
disease diagnosis. The paper underscores the necessity of
safeguarding data and the importance of stakeholder
collaboration to ensure that the advancements in big data and
AI are equitable, sustainable, and centred around human wellbeing.