{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T05:43:05Z","timestamp":1777786985720,"version":"3.51.4"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100009227","name":"Iowa State University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009227","id-type":"DOI","asserted-by":"publisher"}]},{"name":"HPC@ISU equipment at ISU"},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS 1229081"],"award-info":[{"award-number":["CNS 1229081"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CRI","award":["1205413"],"award-info":[{"award-number":["1205413"]}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CBET-1605275"],"award-info":[{"award-number":["CBET-1605275"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OAC-1931380"],"award-info":[{"award-number":["OAC-1931380"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,8,1]]},"DOI":"10.1109\/tkde.2020.3029146","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T19:46:54Z","timestamp":1602013614000},"page":"3912-3926","source":"Crossref","is-referenced-by-count":13,"title":["Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9311-9243","authenticated-orcid":false,"given":"Yicheng","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Iowa State University, Ames, IA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jae Kwang","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Statistics, Iowa State University, Ames, IA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2265-9602","authenticated-orcid":false,"given":"In Ho","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Iowa State University, Ames, IA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.32614\/rj-2018-020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2922638"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/19312458.2011.624490"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.psych.58.110405.085530"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1037\/\/0003-066X.54.8.594"},{"key":"ref6","first-page":"325","article-title":"Kernel methods for missing variables","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Smola"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102474"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1996.10476908"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/sim.4067"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1198\/000313001317098266"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asv073"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5705\/ss.202016.0287"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/03610928408828805"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1996.10476909"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/91.3.559"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/16-STS569"},{"issue":"2","key":"ref17","first-page":"139","article-title":"Hot deck imputation for the response model","volume":"31","author":"Fuller","year":"2005","journal-title":"Surv. Methodol."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICICoS48119.2019.8982510"},{"key":"ref19","first-page":"1","article-title":"Application of sequential regression multivariate imputation method on multivariate normal missing data","volume-title":"Proc. Int. Conf. Informat. Comput. Sci.","author":"Siswantining"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1063\/1.5139149"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1063\/1.5141651"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1201\/b10905-21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-03635-9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2011.v4.n3.a8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/0471142905.hg0125s78"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.proenv.2011.10.072"},{"key":"ref28","article-title":"UCI machine learning repository","author":"Dheeru","year":"2013"},{"key":"ref29","first-page":"1030","article-title":"Two-phase sampling approach to fractional hot deck imputation","volume-title":"Proc. Surv. Res. Methodol.","author":"Im"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICICoS48119.2019.8982412"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2307\/2290013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/nme.4791"},{"key":"ref33","volume-title":"Introduction to Algorithms","author":"Cormen","year":"2009"},{"key":"ref34","article-title":"Condo2017: Iowa State University high-performance computing cluster system","year":"2017"},{"key":"ref35","article-title":"Data-driven, computational science and engineering platforms repository","author":"Cho","year":"2017"},{"issue":"1","key":"ref36","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via Lasso","volume":"58","author":"Robert","year":"1996","journal-title":"J. Roy. Statist. Soc. Ser. Methodol."},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2307\/1267352"},{"key":"ref38","volume-title":"Principle Component Analysis","author":"Jolliffe","year":"2011"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2008.00674.x"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2013.863158"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/69\/9817411\/9214981-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9817411\/09214981.pdf?arnumber=9214981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T15:48:36Z","timestamp":1723736916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9214981\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,1]]},"references-count":40,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2020.3029146","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,1]]}}}