Методология подготовки исходных данных для построения кредитного скоринга

Методология подготовки исходных данных для построения кредитного скоринга

Bibliographic Details
Parent link:	Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов VI Международной конференции, 14-19 октября 2019 г., Томск/ Национальный исследовательский Томский политехнический университет (ТПУ) ; ред. кол. О. Г. Берестнева [и др.]. [246-251].— , 2019
Main Author:	Инхиреева Т. И.
Corporate Author:	Национальный исследовательский Томский политехнический университет
Summary:	Заглавие с титульного экрана This paper considers data preparation methodology for logistic regression credit scoring model.
Published:	2019
Series:	Цифровая экономика
Subjects:	электронные ресурсы труды учёных ТПУ data mining data preprocessing data cleaning logistic regression credit scoring интеллектуальный анализ кредитный скоринг логистическая регрессия исходные данные
Online Access:	http://earchive.tpu.ru/handle/11683/57397
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=630721

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