Mining data to find subsets of high activity.
type: Item
instance of: scholarly article
title: Mining data to find subsets of high activity.
zbMATH Open document ID: 1040.62096
author: Dhammika Amaratunga
author: Javier Cabrera
published in: Journal of Statistical Planning and Inference
publication date: 2004-05-27T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 2066805
zbMATH Keywords: ARF
zbMATH Keywords: Data mining
zbMATH Keywords: Recursive partitioning
zbMATH Keywords: Classification tree
describes a project that uses: UCI-ml
describes a project that uses: C4.5
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: j.jspi.2003.06.014
OpenAlex ID: W2048622403
cites work: Q3997739
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DOI: 10.1016/J.JSPI.2003.06.014
description: scientific article; zbMATH DE number 2066805