منابع مشابه
Any-time Diverse Subgroup Discovery with Monte Carlo Tree Search
The discovery of patterns that accurately discriminate one class label from another remains a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that enables to elicit such interesting hypotheses from labeled data. A question remains fairly open: How to select an accurate heuristic search technique when exhaustive enumeration of the pattern space is infeasible? Exist...
متن کاملCSM-SD: Methodology for contrast set mining through subgroup discovery
This paper addresses a data analysis task, known as contrast set mining, whose goal is to find differences between contrasting groups. As a methodological novelty, it is shown that this task can be effectively solved by transforming it to a more common and well-understood subgroup discovery task. The transformation is studied in two learning settings, a one-versus-all and a pairwise contrast se...
متن کاملSubgroup Discovery
The discovery of (interesting) subgroups has a high practical relevance in all domains of science or business. For example, consider statements such as: ”the unemployment rate is above average for young men with a low educational level”, ”smokers with a positive family history are at a significantly higher risk for coronary heart disease”, or ”single males living in rural areas do rarely take o...
متن کاملSubgroup discovery
The discovery of (interesting) subgroups has a high practical relevance in all domains of science or business. For example, consider statements such as: ”the unemployment rate is above average for young men with a low educational level”, ”smokers with a positive family history are at a significantly higher risk for coronary heart disease”, or ”single males living in rural areas do rarely take o...
متن کاملSubgroup Discovery Method SUBARP
This paper summarizes the subgroup discovery method SUBARP. The discussion is to provide an intuitive understanding of the ideas underlying the method, and mathematical details are omitted.
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ژورنال
عنوان ژورنال: Data Mining and Knowledge Discovery
سال: 2012
ISSN: 1384-5810,1573-756X
DOI: 10.1007/s10618-012-0273-y