Abstract
Knowledge discovery is defined as the method used for discovering interesting, previously unknown and potentially useful patterns from a massive amount of data. It is an integrative area of research, including illustrative work from areas such as database technology, machine learning, and pattern recognition, extraction of valuable information, neural network, artificial intelligence, high-performance computing and data visualization. The process of finding knowledge from the data is also getting more important as the data is increasing every day. This paper discusses the process of knowledge discovery and also gives description about the challenges faced when knowledge is discovered. It also presents the work done in the related area and their comparative analysis.
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Singhal, N., Himanshu (2022). A Review on Knowledge Discovery from Databases. In: Mallick, P.K., Bhoi, A.K., González-Briones, A., Pattnaik, P.K. (eds) Electronic Systems and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 860. Springer, Singapore. https://doi.org/10.1007/978-981-16-9488-2_43
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DOI: https://doi.org/10.1007/978-981-16-9488-2_43
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