Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery
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DOI: 10.1007/s10618-017-0520-3
Abstract: Existing algorithms for subgroup discovery with numerical targets do not optimize the error or target variable dispersion of the groups they find. This often leads to unreliable or inconsistent statements about the data, rendering practical… read more here.
Keywords: identifying consistent; subgroup; subgroup discovery; discovery identifying ... See more keywords
Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm
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DOI: 10.1111/dom.15039
Abstract: To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup discovery algorithm. read more here.
Keywords: discovery algorithm; factors diabetic; subgroup discovery; predictive factors ... See more keywords
DISGROU: an algorithm for discontinuous subgroup discovery
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DOI: 10.7717/peerj-cs.512
Abstract: In this paper, we focus on the problem of the search for subgroups in numerical data. This approach aims to identify the subsets of objects, called subgroups, which exhibit interesting characteristics compared to the average,… read more here.
Keywords: quality; disgrou algorithm; subgroup discovery; discontinuous subgroup ... See more keywords