Data mining algorithms analysis and application
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Abstract
Data Mining is used in different disciplines for searching for hidden patterns and models in databases. This is usually applied in the areas of business and marketing. However, its application and use are finally made available to those who handle this knowledge, so it must be transformed into useful information for the higher levels. Materials and methods. One of the best-known methods for describing attributes in a database is Decision Table, Decision Tree, Linear Regression, and M5. Conclusion. Thirteen attributes were taken from a wine crop, which was discriminated against and then grouped into a set called chemicals. The optimal one within this group turned out to be the total phenols according to the algorithms applied. Therefore, it is the most recommended to use for cultivation
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