2025-02-22T17:02:37-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-101737%22&qt=morelikethis&rows=5
2025-02-22T17:02:37-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-101737%22&qt=morelikethis&rows=5
2025-02-22T17:02:37-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T17:02:37-05:00 DEBUG: Deserialized SOLR response
Оцінювання кредитних ризиків методами інтелектуального анализу даних
In this research, credit risks are analyzed for financial organizations using data mining techniques applied to actual data. The two sets of actual statistical data characterizing the borrowers are employed for constructing mathematical models in the form of the nonlinear logit regression, decision...
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| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/101737 |
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2025-02-22T17:02:37-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-101737%22&qt=morelikethis
2025-02-22T17:02:37-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-101737%22&qt=morelikethis
2025-02-22T17:02:37-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T17:02:37-05:00 DEBUG: Deserialized SOLR response