A practical outlier detection approach for mixed-attribute data
Author:
- 1 December 2015
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 42 (22) , 8637-8649
Abstract
No abstract availableKeywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada (402495-2011)
This publication has 22 references indexed in Scilit:
- Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betasAdvances in Data Analysis and Classification, 2013
- A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clusteringExpert Systems with Applications, 2012
- Finding key knowledge attribute subspace of outliers in high-dimensional datasetExpert Systems with Applications, 2011
- Thresholds based outlier detection approach for mining class outliers: An empirical case study on software measurement datasetsExpert Systems with Applications, 2011
- Non-derivable itemsets for fast outlier detection in large high-dimensional categorical dataKnowledge and Information Systems, 2010
- Enhancing effectiveness of density-based outlier mining scheme with density-similarity-neighbor-based outlier factorExpert Systems with Applications, 2010
- Fast Distributed Outlier Detection in Mixed-Attribute Data SetsData Mining and Knowledge Discovery, 2006
- Applications of beta-mixture models in bioinformaticsBioinformatics, 2005
- FP-outlier: Frequent pattern based outlier detectionComputer Science and Information Systems, 2005
- A Comparison of Multivariate Outlier Detection Methods for Clinical Laboratory Safety DataJournal of the Royal Statistical Society: Series D (The Statistician), 2001