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Categorical variable

Known as: Categorical, Categorical data, Nonnumerical variable 
In statistics, a categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each… 
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Related topics

Related topics

18 relations
Contingency tableDecision tree learningDirect coupling analysisDiscrete choice

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Exact Inference for Categorical Data
  • R. Sooriyarachchi
  • International Encyclopedia of Statistical Science
  • 2011
  • Corpus ID: 46232204
Modern statistical methods rely heavily on nonparametric techniques for comparing two or more populations. These techniques… 
2010
2010
Towards Semantic Microaggregation of Categorical Data for Confidential Documents
In the data privacy context, specifically, in statistical disclosure control techniques, microaggregation is a well-known… 
Highly Cited
2008
Highly Cited
2008
Simultaneous Pattern and Data Clustering for Pattern Cluster Analysis
In data mining and knowledge discovery, pattern discovery extracts previously unknown regularities in the data and is a useful… 
2008
2008
Fast parallel outlier detection for categorical datasets using MapReduce
Outlier detection has received considerable attention in many applications, such as detecting network attacks or credit card… 
2008
2008
A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition
This set contains: 9780471469445 A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, Second Edition by… 
2007
2007
Multiobjective approach to categorical data clustering
Categorical data clustering has been gaining significant attention from researchers since the last few years, because most of the… 
2006
2006
Projected clustering for categorical datasets
2003
2003
The impact of missing data on data mining
Data mining is based upon searching the concatenation of multiple databases that usually contain some amount of missing data… 
1998
1998
Design and analysis of clinical trials : concept and methodologies
Basic Statistical Concepts. Basic Design Consideration. Randomization and Blinding. Designs for Clinical Trials. Classification… 
1992
1992
Imputation of missing categorical data by maximizing internal consistency
This paper suggests a method to supplant missing categorical data by “reasonable” replacements. These replacements will maximize… 
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