• Senthil Kumar Ramadoss
• Puviarasan N

This paper aims to review and analyze the various technical procedures being used to extract knowledge from databases. The challenges and advantages of different database knowledge discovery methods, particularly from very large databases that have relations naturally not explicit in database were analyzed. The machine learning techniques that are acting in the background of those methods were compared and analyzed. The efficiencies of various machine learning methods used for database knowledge discovery were analyzed and classified. In totality, the state of art in database knowledge discovery in several research areas, the progress and development of knowledge discovery models including multi-strategy discovery systems were reviewed, analyzed and their efficiencies were reported.

Database knowledge Discovery, Machine Learning, Knowledge Discovery Models, Multi-strategic Knowledge Discovery Systems

"KNOWLEDGE DISCOVERY IN DATABASES: A REVIEW AND ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.855-862, January-2021, Available :http://www.jetir.org/papers/JETIR2101323.pdf

"KNOWLEDGE DISCOVERY IN DATABASES: A REVIEW AND ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp855-862, January-2021, Available at : http://www.jetir.org/papers/JETIR2101323.pdf