Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains. By extracting hidden structures ...
Real-world predictive data mining (classification or regression) problems are often cost sensitive, meaning that different types of prediction errors are not equally costly. While cost-sensitive ...
Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...
2022 SEP 20 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on data mining have been presented. According to news reporting from the School of Economics ...
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