Subgroup Discovery Method SUBARP
نویسنده
چکیده
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.
منابع مشابه
Data-driven subclassification of speech sound disorders in preschool children.
PURPOSE The purpose of the study was to determine whether distinct subgroups of preschool children with speech sound disorders (SSD) could be identified using a subgroup discovery algorithm (SUBgroup discovery via Alternate Random Processes, or SUBARP). Of specific interest was finding evidence of a subgroup of SSD exhibiting performance consistent with atypical speech motor control. METHOD N...
متن کاملRunning Head: SUBCLASSIFICATION OF SPEECH SOUND DISORDERS 1 Data-Driven Subclassification of Speech Sound Disorders in Preschool Children
Purpose: The purpose of the study was to determine whether distinct subgroups of preschool children with speech sound disorders (SSD) could be identified using a subgroup discovery algorithm (SUBARP). Of specific interest was finding evidence of a subgroup of SSD exhibiting performance consistent with atypical speech motor control. Method: Ninety-seven preschool children with SSD completed spee...
متن کاملDiscretization of Target Attributes for Subgroup Discovery
We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data and uses them to select the discretization cutpoints. The algorithm has been implemented in a subgroup discovery method. Tests show that the discretization method likely leads to improved insight.
متن کاملContrast Mining from Interesting Subgroups
Subgroup discovery methods find interesting subsets of objects of a given class. We propose to extend subgroup discovery by a second subgroup discovery step to find interesting subgroups of objects specific for a class in one or more contrast classes. First, a subgroup discovery method is applied. Then, contrast classes of objects are defined by using set theoretic functions on the discovered s...
متن کاملDiscovering subgroups using descriptive models of adverse outcomes in medical care.
OBJECTIVES Hospital discharge databases store hundreds of thousands of patients. These datasets are usually used by health insurance companies to process claims from hospitals, but they also represent a rich source of information about the patterns of medical care. The proposed subgroup discovery method aims to improve the efficiency of detecting interpretable subgroups in data. METHODS Super...
متن کامل