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Classification chart
Known as:
Classification tree
Classification chart or classification tree is a synopsis of the classification scheme, designed to illustrate the structure of any particular field.
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Chart
Decision tree
Decision tree learning
Figurative system of human knowledge
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Application of SMOTE on CART Method to Handle Imbalanced Data (Study Case: Labor Force Classification in Banten Province)
A. Anindya
,
Indahwati
,
B. Susetyo
IOP Conference Series: Earth and Environment
2018
Corpus ID: 69301206
Publication of the Central Bureau of Statistics (BPS) show that Banten is province with the highest unemployment rate in Java…
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2014
2014
Automating test case design within the classification tree editor
Ute Zeppetzauer
,
Peter M. Kruse
Conference on Computer Science and Information…
2014
Corpus ID: 15740168
This paper describes how the proven test design technique of the classification tree method is extended within the classification…
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2012
2012
Binary classification tree for multiclass classification with observation-based clustering
M. Athimethphat
,
B. Lerteerawong
International Conference on Electrical…
2012
Corpus ID: 11102461
Many classification techniques are originally designed to solve a binary problem, but practically many classification problems…
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2011
2011
TOOL SUPPORT FOR TEST CASE SELECTION IN REGRESSION TESTING
Sujata
,
Purohit
2011
Corpus ID: 6831460
Software testing and retesting occurs continuously during the software development lifecycle to detect errors as early as…
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2008
2008
Data Mining Algorithms for Classification
P. Ozer
,
G Sprinkhuizen-Kuyper
2008
Corpus ID: 14149930
Data Mining is a technique used in various domains to give meaning to the available data. In classification tree modeling the…
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2007
2007
Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation
M. Bursa
,
L. Lhotská
,
M. Macas
International Conference on Health Information…
2007
Corpus ID: 18991192
In many industry and research areas, data mining is a crucial process. This paper presents an evolving structure of classifiers…
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2007
2007
Decoding Trace Peak Behaviour - A Neuro-Fuzzy Approach
D. Thornley
,
Stavros Petridis
IEEE International Fuzzy Systems Conference
2007
Corpus ID: 8782151
DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in…
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2005
2005
Automatic Test Data Generation for TTCN-3 using CTE
Z. Dai
,
P. Deussen
,
+4 authors
M. Schmidt
2005
Corpus ID: 58782153
With the growing system complexity the need for solid testing increases. The Test and Testing Control Notation, version 3 (TTCN-3…
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1996
1996
IMPROVED LOCAL DISCRIMINANT BASES USING EMPIRICAL PROBABILITY DENSITY ESTIMATION
N. Saito
,
R. Coifman
1996
Corpus ID: 8149551
Recently, the authors introduced the concept of the socalled Local Discriminant Basis (LDB) for signal and image classification…
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1992
1992
Formation of clusters and resolution of ordinal attributes in ID3 classification trees
C. Sabharwal
,
Keith R. Hacke
,
D. S. Clair
ACM Symposium on Applied Computing
1992
Corpus ID: 17643092
Many learning systems have been designed to construct classification trees from a set of training examples. One of the most…
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