The recurrent use of databases with categorical variables in different applications demands
new alternatives to identify relevant patterns. Classification is an interesting approach for the …

Currently, there has been a high use of databases of large proportionalities. In addition, in
using these data, there has been an enormous increase in using categorical data …

A limited survey of ML techniques viewed from quality of output as implied by embedded
and explicit metrics (eg, optimization in LP, sensitivity analysis vs. possible binary …

Text document clustering is the process of separating particular documents' sets into varied
groups based on certain similarity criteria in different areas of text mining for attaining better …

Resumen en español El uso recurrente de bases de datos con variables categóricas en
diferentes aplicaciones, demanda nuevas alternativas para identificar patrones relevantes …

Clustering is a technique that group data together based on their similarity and apart based
on their dissimilarity. When this technique is applied to documents and the terms within …