Anytime Subgroup Discovery in High Dimensional Numerical Data
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)(2021)
摘要
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 approaches perform data discretizations and thus suffer from information loss. A few algorithms avoid such a loss by considering the search space of every interval pattern built on the dataset numerical values and provide an “anytime” property: a...
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