Revision history of "Training and modernisation of public administrations and services – SATDAP – Training of Public Administration" (Q2913556)

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12 March 2024

14 November 2023

12 June 2023

23 May 2023

9 November 2022

30 July 2022

  • curprev 02:3702:37, 30 July 2022DG Regio talk contribs 44,478 bytes +27,088 Changed label, description and/or aliases in et, lt, hr, el, sk, fi, pl, hu, cs, lv, ga, sl, bg, mt, da, ro, sv, nl, fr, de, it, pt, es, and other parts: Adding translations: et, lt, hr, el, sk, fi, pl, hu, cs, lv, ga, sl, bg, mt, da, ro, sv,

21 January 2022

17 January 2022

19 December 2021

14 December 2021

6 December 2021

21 October 2021

14 September 2021

8 July 2021

  • curprev 13:3613:36, 8 July 2021DG Regio talk contribs 9,547 bytes +1,202 Created claim: summary (P836): The IA-SI project aims to improve risk management in the analysis phase of payment requests from beneficiaries of Portugal 2020 incentive systems, using machine learning techniques. The aim is to develop solutions based on forecasting models on the reliability of eligibility of expenditure and on anticipating risks of meeting targets, to be used in the management of incentives., translated_summary
  • curprev 13:3613:36, 8 July 2021DG Regio talk contribs 8,345 bytes −1,202 Removed claim: summary (P836): The IA-SI project aims to improve risk management in the analysis phase of payment requests from beneficiaries of Portugal 2020 incentive systems, using machine learning techniques. The aim is to develop solutions based on forecasting models on the reliability of eligibility of expenditure and on anticipating risks of meeting targets, to be used in the management of incentives., remove_old_english_translation
  • curprev 13:2813:28, 8 July 2021DG Regio talk contribs 9,547 bytes +174 Changed label, description and/or aliases in en: translated_label
  • curprev 13:2813:28, 8 July 2021DG Regio talk contribs 9,373 bytes +1,202 Created claim: summary (P836): The IA-SI project aims to improve risk management in the analysis phase of payment requests from beneficiaries of Portugal 2020 incentive systems, using machine learning techniques. The aim is to develop solutions based on forecasting models on the reliability of eligibility of expenditure and on anticipating risks of meeting targets, to be used in the management of incentives., translated_summary
  • curprev 12:1712:17, 8 July 2021DG Regio talk contribs 8,171 bytes +431 Changed an Item: Edited by the beneficiary bot - attach the beneficiary based on the string

7 July 2021

6 July 2021