| 000 | 02354nam a2200373 c 4500 | ||
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| 001 | 00006837 | ||
| 003 | ES-MaONT | ||
| 005 | 20211130141013.0 | ||
| 008 | 211130s2021 ||||frt i 0| u|eng u | ||
| 024 |
_2DOI _a10.1787/0ea22484-en. _d. |
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| 040 |
_aES-MaONT _c. |
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| 110 |
_aOrganización de Cooperación y Desarrollo Económico _92843 |
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| 245 | 1 | 0 |
_aCountering public grant fraud in Spain _b: machine learning for assessing risks and targeting control activities _c/ OECD |
| 260 |
_aParis : _bOECD Publishing, _c30 November 2021 |
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| 300 |
_ap. _b: gráf., tablas _c; 1 documento PDF |
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| 336 |
_atexto (visual) _2isbdcontent |
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| 337 |
_aelectrónico _2isbdmedia |
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| 338 |
_arecurso en línea _2rdacarrier |
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| 490 | 1 | _aOECD Public Governance Reviews | |
| 520 | _aIn the wake of the COVID-19 pandemic, governments face both old and new fraud risks, some at unprecedented levels, linked to spending on relief and recovery. Public grant programmes are a high-risk area, where any fraud ultimately diverts taxpayers’ money away from essential support for individuals and businesses. This report identifies how Spain’s General Comptroller of the State Administration (Intervención General de la Administración del Estado, IGAE) could better identify and control for grant fraud risks. It demonstrates how innovative machine learning techniques can support the IGAE in enhancing its assessment of fraud risks in grant data. It presents a working risk model, developed with datasets at the IGAE’s disposal, and maps datasets it could use in the future. The report also considers the preconditions for advanced analytics and risk assessments, including ways for the IGAE to improve its data governance and data management. | ||
| 540 |
_aTodos los derechos reservados _b; OECD |
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| 650 | 0 |
_92192 _aPolíticas públicas digitales |
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| 651 | 0 |
_92183 _aEspaña |
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| 653 | _agobiernos | ||
| 653 | _afraude | ||
| 653 | _ariesgos | ||
| 653 | _asubvenciones públicas | ||
| 653 | _a técnicas de aprendizaje automático | ||
| 653 | _agestión de datos | ||
| 653 | _aIntervención General de la Administración del Estado | ||
| 830 |
_95322 _aOECD Public Governance Reviews |
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| 856 | 4 | 2 |
_uhttps://www.oecd.org/publications/countering-public-grant-fraud-in-spain-0ea22484-en.htm _yAcceso al documento _x0 _qpdf |
| 942 |
_cINF _2udc |
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_c6837 _d6837 |
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