Subgroup discovery (SD) enables one to elicit patterns that strongly discriminate a class label. When it comes to numerical data, most of the existing SD ...

Aug 9, 2021 · Abstract—Subgroup discovery (SD) enables one to elicit pat- terns that strongly discriminate a class label. When it comes to numerical data ...

Aug 9, 2021 · Our extensive set of experiments proves the efficiency of MonteCloPi on high- dimensional data with hundreds of attributes. We finally discuss.

Subgroup discovery consists in finding subsets of individuals from a given population which have distinctive collective properties with regard to one or more ...

Subgroup discovery (SD) enables one to elicit patterns that strongly discriminate a class label. When it comes to numerical data, most of the existing SD ...

An algorithm for mining numerical data with three key properties w.r.t. the state of the art: It yields progressively interval patterns whose quality ...

Apr 17, 2020 · Subgroup discovery in labeled data is the task of discovering patterns in the description space of objects to find subsets of objects whose ...

Subgroup discovery is the task of discovering patterns that accurately discriminate a class label from the others. Existing approaches can uncover such ...

Anytime Subgroup Discovery in High Dimensional Numerical Data. record by Mehdi Kaytoue • Anytime Subgroup Discovery in High Dimensional Numerical Data.

This work considers here the discovery of optimal subgroups according to an interestingness measure in purely numerical data using the concept of closed ...