Fuzzy Classification to Classify the Income Category Based On Entropy

Autores
Srinivasan, Vaiyapuri; Govind, Rajenderan; Jagannathan, Vandar Kuzhali; Murugesan, Aruna
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classifying the income database with the entropy based method for analyzing the income is high or low. This method incorporates two mathematical techniques Entropy and Information Gain (IG) with Interactive Dichotomize 3 Algorithm (ID3). Subsets are calculated through Entropy. We fix the threshold point based on the fuzzy approach and the factors are identified using IG. The ID3 algorithm is used to derive a decision tree which classifies the income. This method also helps to extract logical rules that could be used in classifying high or low based on income with various attributed.
Facultad de Informática
Materia
Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9699
Acceder
id SEDICI_1b1c3084ffa2038b303eeeaab39e6135
oai_identifier_str oai:sedici.unlp.edu.ar:10915/9699
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Fuzzy Classification to Classify the Income Category Based On EntropySrinivasan, VaiyapuriGovind, RajenderanJagannathan, Vandar KuzhaliMurugesan, ArunaCiencias InformáticasClasificaciónEntropíaÁrboles de DecisiónThe classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classifying the income database with the entropy based method for analyzing the income is high or low. This method incorporates two mathematical techniques Entropy and Information Gain (IG) with Interactive Dichotomize 3 Algorithm (ID3). Subsets are calculated through Entropy. We fix the threshold point based on the fuzzy approach and the factors are identified using IG. The ID3 algorithm is used to derive a decision tree which classifies the income. This method also helps to extract logical rules that could be used in classifying high or low based on income with various attributed.Facultad de Informática2011-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf81-85http://sedici.unlp.edu.ar/handle/10915/9699enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct11-5.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:48Zoai:sedici.unlp.edu.ar:10915/9699Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:49.015SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Fuzzy Classification to Classify the Income Category Based On Entropy
title Fuzzy Classification to Classify the Income Category Based On Entropy
spellingShingle Fuzzy Classification to Classify the Income Category Based On Entropy
Srinivasan, Vaiyapuri
Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
title_short Fuzzy Classification to Classify the Income Category Based On Entropy
title_full Fuzzy Classification to Classify the Income Category Based On Entropy
title_fullStr Fuzzy Classification to Classify the Income Category Based On Entropy
title_full_unstemmed Fuzzy Classification to Classify the Income Category Based On Entropy
title_sort Fuzzy Classification to Classify the Income Category Based On Entropy
dc.creator.none.fl_str_mv Srinivasan, Vaiyapuri
Govind, Rajenderan
Jagannathan, Vandar Kuzhali
Murugesan, Aruna
author Srinivasan, Vaiyapuri
author_facet Srinivasan, Vaiyapuri
Govind, Rajenderan
Jagannathan, Vandar Kuzhali
Murugesan, Aruna
author_role author
author2 Govind, Rajenderan
Jagannathan, Vandar Kuzhali
Murugesan, Aruna
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
topic Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
dc.description.none.fl_txt_mv The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classifying the income database with the entropy based method for analyzing the income is high or low. This method incorporates two mathematical techniques Entropy and Information Gain (IG) with Interactive Dichotomize 3 Algorithm (ID3). Subsets are calculated through Entropy. We fix the threshold point based on the fuzzy approach and the factors are identified using IG. The ID3 algorithm is used to derive a decision tree which classifies the income. This method also helps to extract logical rules that could be used in classifying high or low based on income with various attributed.
Facultad de Informática
description The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classifying the income database with the entropy based method for analyzing the income is high or low. This method incorporates two mathematical techniques Entropy and Information Gain (IG) with Interactive Dichotomize 3 Algorithm (ID3). Subsets are calculated through Entropy. We fix the threshold point based on the fuzzy approach and the factors are identified using IG. The ID3 algorithm is used to derive a decision tree which classifies the income. This method also helps to extract logical rules that could be used in classifying high or low based on income with various attributed.
publishDate 2011
dc.date.none.fl_str_mv 2011-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9699
url http://sedici.unlp.edu.ar/handle/10915/9699
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct11-5.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
81-85
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844615758852653056
score 13.070432

Publicaciones similares