Data Mining Aplications in Livestock

Data mining provides discovering the required and applicable knowledge from very large amounts of information collected in one centre. Data mining has been used in the information industry and society. Although many methods of data mining has been used, these techniques has been remarkable in anim...

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Main Authors: Feyza ALEV ÇETİN, Nazire MİKAİL
Format: Article
Language:English
Published: Siirt University 2016-03-01
Series:Türkiye Tarımsal Araştırmalar Dergisi
Subjects:
Online Access:http://dergipark.gov.tr/tutad/issue/26715/281010
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author Feyza ALEV ÇETİN
Nazire MİKAİL
author_facet Feyza ALEV ÇETİN
Nazire MİKAİL
author_sort Feyza ALEV ÇETİN
collection DOAJ
description Data mining provides discovering the required and applicable knowledge from very large amounts of information collected in one centre. Data mining has been used in the information industry and society. Although many methods of data mining has been used, these techniques has been remarkable in animal husbandry in recent years. For the solution of complex problems in animal husbandry many methods were discussed and developed. Brief information on data mining techniques such as k-means approach, k-nearest neighbor approach, multivariate adaptive regression function (MARS), naive Bayesian classifiers (NBC), artificial neural networks (ANN), support vector machines (SVM), decision trees are given in the study. Some data mining methods are presented and examples of the application of data mining in the field of animal husbandry in the world are provided with this study.
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spelling doaj.art-582cb71b74de443c8700da1f36d673a32023-02-15T16:08:35ZengSiirt UniversityTürkiye Tarımsal Araştırmalar Dergisi2148-23062528-858X2016-03-0131798810.19159/tutad.30179Data Mining Aplications in LivestockFeyza ALEV ÇETİN0Nazire MİKAİL1Siirt Üniversitesi, Ziraat Fakültesi, Zootekni Bölümü, Siirt, TÜRKİYESiirt Üniversitesi, Ziraat Fakültesi, Zootekni Bölümü, Siirt, TÜRKİYEData mining provides discovering the required and applicable knowledge from very large amounts of information collected in one centre. Data mining has been used in the information industry and society. Although many methods of data mining has been used, these techniques has been remarkable in animal husbandry in recent years. For the solution of complex problems in animal husbandry many methods were discussed and developed. Brief information on data mining techniques such as k-means approach, k-nearest neighbor approach, multivariate adaptive regression function (MARS), naive Bayesian classifiers (NBC), artificial neural networks (ANN), support vector machines (SVM), decision trees are given in the study. Some data mining methods are presented and examples of the application of data mining in the field of animal husbandry in the world are provided with this study.http://dergipark.gov.tr/tutad/issue/26715/281010Livestockdata miningartificial neural networkssupport vector machinesdecision trees
spellingShingle Feyza ALEV ÇETİN
Nazire MİKAİL
Data Mining Aplications in Livestock
Türkiye Tarımsal Araştırmalar Dergisi
Livestock
data mining
artificial neural networks
support vector machines
decision trees
title Data Mining Aplications in Livestock
title_full Data Mining Aplications in Livestock
title_fullStr Data Mining Aplications in Livestock
title_full_unstemmed Data Mining Aplications in Livestock
title_short Data Mining Aplications in Livestock
title_sort data mining aplications in livestock
topic Livestock
data mining
artificial neural networks
support vector machines
decision trees
url http://dergipark.gov.tr/tutad/issue/26715/281010
work_keys_str_mv AT feyzaalevcetin dataminingaplicationsinlivestock
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