Association rules mining is one of the most popular data mining models. Minimum-support is used in association rules mining algorithms, like Apriori, FP-growth, eclat, etc. One problem Apriori ...
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 ...
The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...
Blood-based biomarkers are of particular interest as cancer screening tests as a result of their convenience, low cost, and quantitative measure. The incorporation of biomarkers into a screening ...