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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 table
Decision tree learning
Direct coupling analysis
Discrete choice
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Towards Semantic Microaggregation of Categorical Data for Confidential Documents
Daniel Abril
,
G. Navarro-Arribas
,
V. Torra
Modeling Decisions for Artificial Intelligence
2010
Corpus ID: 11024626
In the data privacy context, specifically, in statistical disclosure control techniques, microaggregation is a well-known…
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Highly Cited
2008
Highly Cited
2008
Simultaneous Pattern and Data Clustering for Pattern Cluster Analysis
A. Wong
,
Gary C. L. Li
IEEE Transactions on Knowledge and Data…
2008
Corpus ID: 16777844
In data mining and knowledge discovery, pattern discovery extracts previously unknown regularities in the data and is a useful…
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2008
2008
Fast parallel outlier detection for categorical datasets using MapReduce
Anna Koufakou
,
J. Secretan
,
J. Reeder
,
K. Cardona
,
M. Georgiopoulos
IEEE World Congress on Computational Intelligence
2008
Corpus ID: 8209961
Outlier detection has received considerable attention in many applications, such as detecting network attacks or credit card…
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2008
2008
A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition
N. O’Rourke
,
Larry Hatcher
,
E. Stepanski
,
A. Agresti
2008
Corpus ID: 59896620
This set contains: 9780471469445 A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, Second Edition by…
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2007
2007
Multiobjective approach to categorical data clustering
A. Mukhopadhyay
,
U. Maulik
IEEE Congress on Evolutionary Computation
2007
Corpus ID: 3234000
Categorical data clustering has been gaining significant attention from researchers since the last few years, because most of the…
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2006
2006
Projected clustering for categorical datasets
Minho Kim
,
R. S. Ramakrishna
Pattern Recognition Letters
2006
Corpus ID: 2537746
2003
2003
The impact of missing data on data mining
Marvin L. Brown
,
J. Kros
2003
Corpus ID: 61102513
Data mining is based upon searching the concatenation of multiple databases that usually contain some amount of missing data…
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2002
2002
Landscape connectivity studies on segmentation based classification and manual interpretation of remote sensing data
E. Ivits
,
B. Koch
,
T. Blaschke
,
L. Waser
2002
Corpus ID: 55585579
Analysing landscape structure and landscape pattern through indices is relatively widespread in landscape ecology and landscape…
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2001
2001
Reproductive performance of purebred Hampshire sows in Sweden
P. Tummaruk
,
N. Lundeheim
,
S. Einarsson
,
A. Dalin
2001
Corpus ID: 33409686
1992
1992
Imputation of missing categorical data by maximizing internal consistency
S. Buuren
,
J. V. Rijckevorsel
1992
Corpus ID: 122279494
This paper suggests a method to supplant missing categorical data by “reasonable” replacements. These replacements will maximize…
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