AI-Driven Knowledge Discovery Systems: A Systematic Literature Review
TL;DR
How AI is used in different areas such as scientific research, healthcare, education, and finance, and explores knowledge graphs, explainable AI, manufacturing operations, and human-AI interface design is explored to give a view of the research area of AI.
Abstract
The development of intelligence has brought about major changes to knowledge discovery systems, which now deliver exceptional data analysis capabilities. Artificial intelligence (AI) has changed the way we discover things. The current research looks at intelligence-based knowledge discovery systems by studying their different application areas and their operating methods and existing obstacles. This study looks at how AI is used in different areas such as scientific research, healthcare, education, and finance, and explores knowledge graphs, explainable AI, manufacturing operations, and human-AI interface design. These areas together give us a view of the research area of AI. The review looks at existing research to find trends, gaps, and future directions. It gives researchers and practitioners a framework to work with. The study chooses and looks at research works in a comprehensive way so it includes both theoretical knowledge and practical knowledge. The results of the research show that AI-based systems improve decision-making and innovative work. AI-based systems also improve decision-making and innovative work. In the field, AI is used to create treatment plans. Healthcare facilities use intelligence to enhance patient diagnosis with personalised medical solutions. Educational applications use intelligence for adaptive learning. Financial systems use intelligence for fraud detection and risk assessment. The development of knowledge graphs and explainable AI is essential for logical processes. Manufacturing systems use intelligence technology for predictive maintenance. AI interaction is important for usability and trust. The study ends with a summary of opportunities and existing problems that require scientific fields to work together. The review provides materials that researchers will use to conduct studies about AI-based methods for discovering knowledge. AI is used in different areas and it is changing the way we do things. The study of intelligence-based knowledge discovery systems is important for the future of research. AI will continue to change the way we discover things and it will be used in many areas.