Методология подготовки исходных данных для построения кредитного скоринга; Информационные технологии в науке, управлении, социальной сфере и медицине

Методология подготовки исходных данных для построения кредитного скоринга; Информационные технологии в науке, управлении, социальной сфере и медицине

Bibliographic Details
Parent link:	Информационные технологии в науке, управлении, социальной сфере и медицине.— 2019.— [246-251]
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.
Language:	Russian
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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