Form of presentation | Articles in international journals and collections |
Year of publication | 2018 |
Язык | русский |
|
Safina Dinara Moratovna, author
|
Bibliographic description in the original language |
Suetina T., Safina D. Class of the counterparty reliability recognition system/ 5th International Multidisciplinary Scientific Conference on social sciences and arts SGEM 2018. Conference proceedings. Vol. 5. Issue 1.4. 2018. pp. 85-90. |
Annotation |
5th International Multidisciplinary Scientific Conference on social sciences and arts SGEM 2018. Conference proceedings. |
Keywords |
counterparty, pattern recognition, clustering, reliability, informational systems |
The name of the journal |
5th International Multidisciplinary Scientific Conference on social sciences and arts SGEM 2018. Conference proceedings.
|
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=280220&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Safina Dinara Moratovna |
ru_RU |
dc.date.accessioned |
2018-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2018-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2018 |
ru_RU |
dc.identifier.citation |
Suetina T., Safina D. Class of the counterparty reliability recognition system/ 5th International Multidisciplinary Scientific Conference on social sciences and arts SGEM 2018. Conference proceedings. Vol. 5. Issue 1.4. 2018. pp. 85-90. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=280220&p_lang=2 |
ru_RU |
dc.description.abstract |
5th International Multidisciplinary Scientific Conference on social sciences and arts SGEM 2018. Conference proceedings. |
ru_RU |
dc.description.abstract |
This article focuses on development and design of class of the counterparty reliability recognition system which constitutes verification process of potential or currently existing counterparty of any scale and form of ownership. The Relevance of the development depends on organizations' necessity for understanding of due diligence indicators in contract award. The target audience of the program is small and medium enterprises of Russian Federation and individual entrepreneurs who can gain additional competitive advantages by using the developed service. The system is also intended to greater economic stability and commercial security of Russian enterprises. The information used in program preparation was gained from open related informational sources and expert materials in commercial security and jurisprudence. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
counterparty |
ru_RU |
dc.subject |
pattern recognition |
ru_RU |
dc.subject |
clustering |
ru_RU |
dc.subject |
reliability |
ru_RU |
dc.subject |
informational systems |
ru_RU |
dc.title |
Class of the counterparty reliability recognition system |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|