Fuzzy Classification to Classify the Income Category Based On Entropy

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...

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Detalles Bibliográficos
Autores principales: Srinivasan, Vaiyapuri, Govind, Rajenderan, Jagannathan, Vandar Kuzhali, Murugesan, Aruna
Formato: Articulo
Lenguaje:Inglés
Publicado: 2011
Materias:
Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9699
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct11-5.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9699
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
spellingShingle Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
Srinivasan, Vaiyapuri
Govind, Rajenderan
Jagannathan, Vandar Kuzhali
Murugesan, Aruna
Fuzzy Classification to Classify the Income Category Based On Entropy
topic_facet Ciencias Informáticas
Clasificación
Entropía
Árboles de Decisión
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.
format Articulo
Articulo
author Srinivasan, Vaiyapuri
Govind, Rajenderan
Jagannathan, Vandar Kuzhali
Murugesan, Aruna
author_facet Srinivasan, Vaiyapuri
Govind, Rajenderan
Jagannathan, Vandar Kuzhali
Murugesan, Aruna
author_sort Srinivasan, Vaiyapuri
title Fuzzy Classification to Classify the Income Category Based On Entropy
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
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/9699
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct11-5.pdf
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AT govindrajenderan fuzzyclassificationtoclassifytheincomecategorybasedonentropy
AT jagannathanvandarkuzhali fuzzyclassificationtoclassifytheincomecategorybasedonentropy
AT murugesanaruna fuzzyclassificationtoclassifytheincomecategorybasedonentropy
bdutipo_str Repositorios
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