{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T04:01:02Z","timestamp":1747627262983,"version":"3.40.5"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2003,3,1]],"date-time":"2003-03-01T00:00:00Z","timestamp":1046476800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2003,3,1]],"date-time":"2003-03-01T00:00:00Z","timestamp":1046476800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Artificial Intelligence Review"],"published-print":{"date-parts":[[2003,3]]},"DOI":"10.1023\/a:1022188514489","type":"journal-article","created":{"date-parts":[[2003,3,22]],"date-time":"2003-03-22T00:29:05Z","timestamp":1048292945000},"page":"93-107","source":"Crossref","is-referenced-by-count":26,"title":["Maximum Consistency of Incomplete Data via Non-Invasive Imputation"],"prefix":"10.1007","volume":"19","author":[{"given":"G\u00fcnther","family":"Gediga","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivo","family":"D\u00fcntsch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"5092633_CR1","first-page":"76","volume":"10","author":"A. Acock","year":"1997","unstructured":"Acock, A. (1997). Working with Missing Data. Family Science Review\n10: 76\u2013102.","journal-title":"Family Science Review"},{"key":"5092633_CR2","volume-title":"Amos Users Guide: Version 3.6","author":"J. Arbuckle","year":"1996","unstructured":"Arbuckle, J. (1996). Amos Users Guide: Version 3.6. Chicago: SmallWaters Corp."},{"key":"5092633_CR3","volume-title":"Structural Equations Program Manual","author":"P. Bentler","year":"1996","unstructured":"Bentler, P. (1996). EQS: Structural Equations Program Manual. Los Angeles: BMDP Statistical Software."},{"key":"5092633_CR4","first-page":"1","volume":"B39","author":"A. P. Dempster","year":"1977","unstructured":"Dempster, A. P., Laird, N. M. & Rubin, D. B. (1977). Maximum Likelihood from Incomplete Data via the EM Algorithm (with Discussion. Journal of the Royal Statistical Society (B)\n39: 1\u201338.","journal-title":"Journal of the Royal Statistical Society"},{"key":"5092633_CR5","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1006\/ijhc.1996.0105","volume":"46","author":"I. D\u00fcntsch","year":"1997","unstructured":"D\u00fcntsch, I. & Gediga, G. (1997). Statistical Evaluation of Rough Set Dependency Analysis. International Journal of Human-Computer Studies\n46: 589\u2013604.","journal-title":"International Journal of Human-Computer Studies"},{"issue":"1\u20132","key":"5092633_CR6","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/S0888-613X(97)10005-6","volume":"18","author":"I. D\u00fcntsch","year":"1998","unstructured":"D\u00fcntsch, I. & Gediga, G. (1998a). Simple Data Filtering in Rough Set Systems. International Journal of Approximate Reasoning\n18(1\u20132): 93\u2013106.","journal-title":"International Journal of Approximate Reasoning"},{"issue":"1","key":"5092633_CR7","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/S0004-3702(98)00091-5","volume":"106","author":"I. D\u00fcntsch","year":"1998","unstructured":"D\u00fcntsch, I. & Gediga, G. (1998b). Uncertainty Measures of Rough Set Prediction. Artificial Intelligence\n106(1): 77\u2013107.","journal-title":"Artificial Intelligence"},{"key":"5092633_CR8","volume-title":"Metho\u03b4os Primers","author":"I. D\u00fcntsch","year":"2000","unstructured":"D\u00fcntsch, I. & Gediga, G. (2000). Rough Set Data Analysis: A Road to Non-Invasive Knowledge Discovery, Vol. 2 of Metho\u03b4os Primers. Bangor: Metho\u03b4os Publishers (UK)."},{"issue":"1","key":"5092633_CR9","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/1098-111X(200101)16:1<121::AID-INT9>3.0.CO;2-Z","volume":"16","author":"I. D\u00fcntsch","year":"2001","unstructured":"D\u00fcntsch, I. & Gediga, G. (2001). Roughian\u2013Rough Information Analysis. International Journal of Intelligent Systems\n16(1): 121\u2013147.","journal-title":"International Journal of Intelligent Systems"},{"key":"5092633_CR10","unstructured":"Graham, J. W., Hofer, S. M. & Piccinin, A. M. (1994). Analysis with Missing Data in Drug Prevention Research. In Collins, L. M. & Seitz, L. (eds.) Advances in Data Analysis for Prevention Intervention Research. Washington, NIDA Research Monograph. Series 142."},{"key":"5092633_CR11","first-page":"368","volume":"542","author":"J. Grzyma\u0142a-Busse","year":"1991","unstructured":"Grzyma\u0142a-Busse, J. (1991). On the Unknown Attribute Values in Learning from Examples. In Proc of the ISMIS-91, 6th International Symposium on Methodologies for Intelligent Systems, Vol. 542 of Lecture Notes in Artificial Intelligence, 368\u2013377. Charlotte.","journal-title":"Proc of the ISMIS-91, 6th International Symposium on Methodologies for Intelligent Systems"},{"key":"5092633_CR12","first-page":"140","volume-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining","author":"K. Lakshminarayan","year":"1996","unstructured":"Lakshminarayan, K., Harp, S. A., Samad, T. & Goldman, R. P. (1996). Imputation of Missing Data Using Machine Learning Techniques. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, 140\u2013145. Menlo Park, American Association for Artificial Intelligence."},{"key":"5092633_CR13","volume-title":"Statistical Analysis with Missing Data","author":"R. J. A. Little","year":"1987","unstructured":"Little, R. J. A. & Rubin, D. B. (1987). Statistical Analysis with Missing Data. New York: Wiley."},{"key":"5092633_CR14","first-page":"538","volume":"10","author":"X. L. Meng","year":"1995","unstructured":"Meng, X. L. (1995). Multiple-Imputation Inferences with Uncongenial Sources of Input (with discussion). Statistical Science\n10: 538\u2013573.","journal-title":"Statistical Science"},{"key":"5092633_CR15","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z. Pawlak","year":"1982","unstructured":"Pawlak, Z. (1982). Rough Sets. Internat. J. Comput. Inform. Sci.\n11: 341\u2013356.","journal-title":"Internat. J. Comput. Inform. Sci."},{"key":"5092633_CR16","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316696","volume-title":"Multiple Imputations for Nonresponse in Surveys","author":"D. B. Rubin","year":"1987","unstructured":"Rubin, D. B. (1987). Multiple Imputations for Nonresponse in Surveys. New York: Wiley."},{"key":"5092633_CR17","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1080\/01621459.1996.10476908","volume":"91","author":"D. B. Rubin","year":"1996","unstructured":"Rubin, D. B. (1996). Multiple Imputation after 18+ Years (with discussion). Journal of the American Statistical Association\n91: 473\u2013489.","journal-title":"Journal of the American Statistical Association"},{"key":"5092633_CR18","doi-asserted-by":"crossref","unstructured":"Schafer, J. (1997). Analysis of Incomplete Multivariate Data. Chapman & Hall.","DOI":"10.1201\/9781439821862"},{"key":"5092633_CR19","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0888-613X(99)00040-7","volume":"23","author":"H. Wang","year":"2000","unstructured":"Wang, H., D\u00fcntsch, I. & Gediga, G. (2000). Classificatory Filtering in Decision Systems. International Journal of Approximate Reasoning\n23: 111\u2013136.","journal-title":"International Journal of Approximate Reasoning"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1022188514489.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1022188514489\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1022188514489.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T04:52:04Z","timestamp":1747543924000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1022188514489"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,3]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2003,3]]}},"alternative-id":["5092633"],"URL":"https:\/\/doi.org\/10.1023\/a:1022188514489","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"type":"print","value":"0269-2821"},{"type":"electronic","value":"1573-7462"}],"subject":[],"published":{"date-parts":[[2003,3]]}}}