Although association rule mining is an important pattern recognition and data analysis
technique, extracting and finding significant rules from a large collection has always been …

Providing efficient and easy-to-use graphical tools to users is a promising challenge of data
mining (DM). These tools must be able to generate explicit knowledge and to restitute it …

Adverse reactions caused by drug‐drug interactions are a major public health concern.
Currently, adverse reaction signals are detected through a tedious manual process in which …

Literature on association mining, the data mining methodology that investigates associations
between items, has primarily focused on efficiently mining larger databases. The motivation …

Since the emergence of databases in the 1960s, the volume of stored information has grown
exponentially every year (Keim (2002)). This information accumulation in databases has …

Miners face many challenges when dealing with association rule mining tasks, such as
defining proper parameters for the algorithm, handling sets of rules so large that exploration …

The paper describes a proposal for interactive visualization of a data-mining model
generated with Association Rule (AR) technique, applying the Self-Organizing Map (SOM) …

El artículo describe una propuesta de visualización exploratoria e interactiva para modelos
de minería de datos generado con la técnica regla de asociación, aplicándole la técnica …

In the past years pattern detection has gained in importance for many companies. As the
volume of collected data increases so does typically the number of found patterns. To cope …

The paper describes a proposal for interactive visualization for exploratory data mining
models generated with association rule technique, applying the Self-Organizing Map (SOM) …