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data mining
liabilities
analysis
mining industry
debtor
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http://www.yso.fi/onto/yso/p5520
http://www.yso.fi/onto/yso/p5965
http://www.yso.fi/onto/yso/p6851
http://www.yso.fi/onto/yso/p3144
http://www.yso.fi/onto/yso/p16067
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Rahaman, Md
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| author2 |
Informaatioteknologian tiedekunta
Faculty of Information Technology
Information Technology
Informaatioteknologia
University of Jyväskylä
Jyväskylän yliopisto
Tietotekniikka
Mathematical Information Technology
602
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Rahaman, Md
Informaatioteknologian tiedekunta
Faculty of Information Technology
Information Technology
Informaatioteknologia
University of Jyväskylä
Jyväskylän yliopisto
Tietotekniikka
Mathematical Information Technology
602
Rahaman, Md
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Rahaman, Md
Data mining methodology and application in debt collection industries
data mining
debtor
case
prediction and classification methods.
tiedonlouhinta
velat
velallinen
analyysi
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Tietotekniikka
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Data mining methodology and application in debt collection industries
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Data mining methodology and application in debt collection industries
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Data mining methodology and application in debt collection industries
Data mining methodology and application in debt collection industries
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Data mining methodology and application in debt collection industries
Data mining methodology and application in debt collection industries
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Data mining methodology and application in debt collection industries
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data mining methodology and application in debt collection industries
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Data mining methodology and application in debt collection industries
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data mining
debtor
case
prediction and classification methods.
tiedonlouhinta
velat
velallinen
analyysi
|
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analyysi
case
data mining
debtor
prediction and classification methods.
tiedonlouhinta
velallinen
velat
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