For example, in subgroup discovery mining, only one target concept of considerable quality is required; it is crucial to mine this concept as fast as possible.
SD-SOFIA, an algorithm that mines stable significant subgroups rather than just significant subgroups rather than just significant subgroups is proposed, ...
Bibliographic details on Towards Stable Significant Subgroup Discovery.
Jan 25, 2024 · In this paper, we propose a parallel and distributed framework for subgroup discovery named ParaDiS that extends permutation testing to a ...
Subgroup discovery is a broadly applicable descriptive data mining technique for identifying interesting subgroups according to some property of interest.
Sep 30, 2024 · In critical fields like healthcare, there is a growing need to identify and analyze small yet significant subgroups within data. To address ...
This paper investigates how to adapt standard classification rule learning approaches to subgroup discovery. The goal of subgroup discovery is to find rules ...
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What is the subgroup discovery algorithm?
Is subgroup discovery a type of supervised learning?
We defined and characterised seven robust, reproducible, clinically significant, primary molecular subgroups within childhood medulloblastoma (in children aged ...
Subgroup discovery to find local patterns and their descriptions. - Gold ... Goldschmidt's tolerance factor (t) to predict stability. ss = rA + rX. 2(rB ...
The goal of subgroup discovery is to find groups of objectsthat are significantly different than “average” object w.r.t. some super-vised information.