Abstract
The digital age and the interest in the areas of knowledge development in databases and Data Mining are related to information and communication technologies that contribute to the exponential growth of science data. Data Mining is a method of extracting data from systems such as business intelligence, big data and data warehouses so that through consistent systematization is it possible to create patterns that can be moldable to answer customers. In this way, the patterns must be presented as representations of knowledge. The purpose of this article is to observe the different stages of the knowledge discovery process and analyze data using Regression and Classification models in Data Mining, to support companies in knowledge management.
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Duque, J., Moreira, J.J., Costa, J. (2023). Data Mining to Support Decision-Making—A Research Approach. In: Nagar, A.K., Singh Jat, D., Mishra, D.K., Joshi, A. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 578. Springer, Singapore. https://doi.org/10.1007/978-981-19-7660-5_48
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