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Conference object . 2016
Data sources: Electronic archive of Tomsk Polytechnic University
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Применение семантического анализа социальных связей в банковских скоринговых системах

descriptionPublicationkeyboard_double_arrow_right Conference object 30 Mar 2016 Russian Federation Russian

Применение семантического анализа социальных связей в банковских скоринговых системах

Abstract

This article describes the expert system for credit scoring systems based on ontologicaldata model. The standards of Semantic Web with the fact extractor for analysis of social ties are a powerfultool for increasing the percentage of refundable loans as the add-on to the traditional system.

Country
Russian Federation
Related Organizations
Keywords

банковские системы, социальные связи, банковское дело, скоринговые системы, семантический анализ

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    popularity
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    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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