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Data Insight Unveiled: Navigating Critical Approaches and Challenges in Diverse Domains Through Advanced Data Analysis
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Author(s): K. Sudha (RMD Engineering College, India), C. Balakrishnan (S.A. Engineering College, India), T. P. Anish (RMK College of Engineering and Technology, India), T. Nithya (Rajalakshmi Institute of Technology, India), B. Yamini (SRM Institute of Science and Technology, India), R. Siva Subramanian (RMK College of Engineering and Technology, India)and M. Nalini (S.A. Engineering College, India)
Copyright: 2024
Pages: 25
Source title:
Critical Approaches to Data Engineering Systems and Analysis
Source Author(s)/Editor(s): Abhijit Bora (Assam Don Bosco University, India), Papul Changmai (Assam Don Bosco University, India)and Mrutyunjay Maharana (Xi’an Jiatong University, China)
DOI: 10.4018/979-8-3693-2260-4.ch006
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Abstract
Data engineering solutions have become important in our quickly evolving technological world for handling and analysing the massive volumes of data generated every day. The chapter examines data engineering systems exponential expansion and data analysis's growing importance across businesses. It highlights data-driven healthcare's transformational influence on patient care and treatment advances, while noting privacy and ethical issues. The research analyses data categorisation techniques, focusing on machine learning and deep learning for healthcare and agricultural decision support systems. The story expects AI and blockchain integration in emerging decision support systems. Data analysis in clinical trials, precision healthcare decision-making, and agricultural applications are also covered. The conclusion is that data analytics improves weather prediction accuracy and gives useful insights for scholars and practitioners navigating the complex world of data analysis.
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