{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:43:22Z","timestamp":1772934202972,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11400778","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"2627-2634","source":"Crossref","is-referenced-by-count":0,"title":["A Two-Stage Framework for Explainable Clustering in Public-Sector Analytics: Algorithm Selection and Post-Hoc Validation"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9995-9213","authenticated-orcid":false,"given":"Jorge Mauricio Fares","family":"Queiroz","sequence":"first","affiliation":[{"name":"Escola de Administração de Empresas de São Paulo - EAESP, Fundação Getúlio Vargas - FGV,São Paulo,Brasil"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.giq.2019.06.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2021.04.019"},{"key":"ref3","volume-title":"Competing on Analytics: The New Science of Winning","author":"Davenport","year":"2007"},{"issue":"2","key":"ref4","doi-asserted-by":"crossref","first-page":"304","DOI":"10.17705\/1jais.00663","article-title":"What do i do in a world of artificial intelligence? investigating the impact of substitutive decisionmaking ai systems on employees\u2019 professional role identity","volume":"22","author":"Mayer","year":"2021","journal-title":"Journal of the Association for Information Systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1017\/dap.2024.3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11573-024-01212-9"},{"key":"ref7","volume-title":"Public sector ai: Lessons for success. policy briefing","year":"2025"},{"key":"ref8","volume-title":"Performance management in government: A primer for leaders","author":"Trivedi","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.8cd550d1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.4135\/9781452229249"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/2397002220921131"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.07.021"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1145\/1772690.1772862","article-title":"Web-scale k-means clustering","volume-title":"Proceedings of the 19th International Conference on World Wide Web (WWW 2010). Raleigh","author":"Sculley","year":"2010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-1495-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.70403\/3008-1084.1008"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/CEC65147.2025.11043080","article-title":"Outperforming the best with minimal effort: Algorithm selection for constrained multi-objective optimization","volume-title":"Proceedings of the 2025 IEEE Congress on Evolutionary Computation (CEC)","author":"M\u0131s\u0131r","year":"2025"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.3.4.376"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1109\/BigData59044.2023.10386143","article-title":"Toward efficient and incremental spectral clustering via parametric spectral clustering","volume-title":"arXiv preprint arXiv","author":"Chen","year":"2023"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/make3030032"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"20240477","DOI":"10.1515\/jisys-2024-0477","article-title":"Explainable clustering: Methods, challenges, and future opportunities","volume":"34","author":"Dewoprabowo","year":"2025","journal-title":"Journal of Intelligent Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/access.2022.3208957"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.04.009"},{"key":"ref24","volume-title":"Multivariate Data Analysis","author":"Hair","year":"2010"},{"key":"ref25","first-page":"1347","article-title":"Classifying relevant causes of employee absenteeism using machine learning","author":"Fosi\u0107","year":"2023","journal-title":"MIPRO 2023 46th International Convention on Information, Communication and Electronic Technology"},{"key":"ref26","volume-title":"Indicadores sociais municipais: Censo demogr\u00e1fico 2010","year":"2021"},{"key":"ref27","volume-title":"Atlas do desenvolvimento humano no brasil","author":"Ipea","year":"2013"},{"issue":"5","key":"ref28","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.17705\/1jais.00948","article-title":"Responsible ai design: The authenticity, control, transparency theory","volume":"26","author":"Rivera","year":"2025","journal-title":"Journal of the Association for Information Systems"},{"key":"ref29","first-page":"137","article-title":"Responsible ai: Applications and ethical considerations","volume-title":"Communications of the IIMA, International Information Management Association Conference Proceedings","author":"Oduaran","year":"2025"},{"key":"ref30","volume-title":"Analytics maturity model","year":"2018"},{"key":"ref31","volume-title":"Data Mining: Concepts and Techniques","author":"Han","year":"2011"},{"key":"ref32","volume-title":"Proposal for a regulation of the european parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act)","author":"Commission","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/23311908.2019.1643962"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s41042-021-00059-7"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11400778.pdf?arnumber=11400778","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:02:18Z","timestamp":1772866938000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11400778\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11400778","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}