Data Mining in Institutional Economics Tasks
The paper discusses problems associated with the use of data mining tools to study discrepancies between countries with different types of institutional matrices by variety of potential explanatory variables: climate, economic or infrastructure indicators. An approach is presented which is based on...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://doi.org/10.1051/epjconf/201817303013 |
| _version_ | 1818361430040117248 |
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| author | Kirilyuk Igor Kuznetsova Anna Senko Oleg |
| author_facet | Kirilyuk Igor Kuznetsova Anna Senko Oleg |
| author_sort | Kirilyuk Igor |
| collection | DOAJ |
| description | The paper discusses problems associated with the use of data mining tools to study discrepancies between countries with different types of institutional matrices by variety of potential explanatory variables: climate, economic or infrastructure indicators. An approach is presented which is based on the search of statistically valid regularities describing the dependence of the institutional type on a single variable or a pair of variables. Examples of regularities are given. |
| first_indexed | 2024-12-13T21:16:33Z |
| format | Article |
| id | doaj.art-513fd8a4687346c18ecf76d3d0db44e1 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-13T21:16:33Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-513fd8a4687346c18ecf76d3d0db44e12022-12-21T23:31:14ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011730301310.1051/epjconf/201817303013epjconf_mmcp2018_03013Data Mining in Institutional Economics TasksKirilyuk IgorKuznetsova AnnaSenko OlegThe paper discusses problems associated with the use of data mining tools to study discrepancies between countries with different types of institutional matrices by variety of potential explanatory variables: climate, economic or infrastructure indicators. An approach is presented which is based on the search of statistically valid regularities describing the dependence of the institutional type on a single variable or a pair of variables. Examples of regularities are given.https://doi.org/10.1051/epjconf/201817303013 |
| spellingShingle | Kirilyuk Igor Kuznetsova Anna Senko Oleg Data Mining in Institutional Economics Tasks EPJ Web of Conferences |
| title | Data Mining in Institutional Economics Tasks |
| title_full | Data Mining in Institutional Economics Tasks |
| title_fullStr | Data Mining in Institutional Economics Tasks |
| title_full_unstemmed | Data Mining in Institutional Economics Tasks |
| title_short | Data Mining in Institutional Economics Tasks |
| title_sort | data mining in institutional economics tasks |
| url | https://doi.org/10.1051/epjconf/201817303013 |
| work_keys_str_mv | AT kirilyukigor dataminingininstitutionaleconomicstasks AT kuznetsovaanna dataminingininstitutionaleconomicstasks AT senkooleg dataminingininstitutionaleconomicstasks |