{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:09:35Z","timestamp":1763467775693,"version":"3.32.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2007,1,18]],"date-time":"2007-01-18T00:00:00Z","timestamp":1169078400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2007,6,18]]},"DOI":"10.1007\/s10489-006-0032-0","type":"journal-article","created":{"date-parts":[[2007,1,17]],"date-time":"2007-01-17T13:22:41Z","timestamp":1169040161000},"page":"79-88","source":"Crossref","is-referenced-by-count":85,"title":["Semi-parametric optimization for missing data imputation"],"prefix":"10.1007","volume":"27","author":[{"given":"Yongsong","family":"Qin","sequence":"first","affiliation":[]},{"given":"Shichao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaofeng","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Jilian","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chengqi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2007,1,18]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Allison P (2001) Missing data. Sage Publication, Inc","DOI":"10.4135\/9781412985079"},{"key":"32_CR2","unstructured":"Cios K, Kurgan L (2002) Trends in data mining and knowledge discovery. In: Pal N, Jain L, Teoderesku N (eds) Knowledge discovery in advanced information systems. Springer"},{"issue":"2","key":"32_CR3","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1023\/A:1021942526896","volume":"18","author":"C Clifton","year":"2003","unstructured":"Clifton C (2003) Change detection in overhead imagery using neural networks. Appl Intell 18(2):215\u2013234","journal-title":"Appl Intell"},{"key":"32_CR4","first-page":"3","volume-title":"Sample surveys Vol.: Theory and annotated bibliography","author":"Dempster","year":"1983","unstructured":"Dempster et al (1983) Incomplete data in sample surveys. In: Madow WG, Olkin I, Rubin D (eds) Sample surveys Vol.: Theory and annotated bibliography, New York, NY, Academic Press, pp 3\u201310"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Engle RF et al (1986) Semiparametric estimates of the relation between weather and electricity sales. J Am Statist Assoc 81(394), Applications.","DOI":"10.2307\/2289218"},{"key":"32_CR6","unstructured":"Friedman JH, Khavi R, Yun Y (1996) Lazy decision trees. In: Proceedings of the 13th national conference on artificial intelligence, AAAI Pres\/MIT Press, pp 717\u2013724"},{"key":"32_CR7","first-page":"67","volume-title":"Computational learning theory and natural learning systems, Volume IV: Making learning systems practical","author":"Ghahramani","year":"1997","unstructured":"Ghahramani et al (1997) Mixture models for Learning from incomplete data. In: Greiner R, Petsche T, Hanson SJ (eds) Computational learning theory and natural learning systems, Volume IV: Making learning systems practical, Cambridge, MA, The MIT Press, pp 67\u201385"},{"key":"32_CR8","unstructured":"Han J, Kamber M (2000) Data mining concepts and techniques. Morgan Kaufmann Publishers"},{"key":"32_CR9","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1007\/978-1-4899-7266-8","volume-title":"A handbook of small data sets","author":"D Hand","year":"1994","unstructured":"Hand D et al (1994) A handbook of small data sets. London, Chapman & Hall, pp 208\u2013211"},{"key":"32_CR10","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.patcog.2003.08.004","volume":"37","author":"F Hoti","year":"2004","unstructured":"Hoti F, Holmstrom L (2004) A semiparametric density estimation approach to pattern classification. Patt Recog 37:409\u2013419","journal-title":"Patt Recog"},{"issue":"1","key":"32_CR11","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1023\/B:APIN.0000047383.53680.b6","volume":"22","author":"X Hu","year":"2005","unstructured":"Hu X (2005) A data mining approach for retailing bank customer attrition analysis. Appl Intell 22(1):47\u201360","journal-title":"Appl Intell"},{"issue":"1","key":"32_CR12","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s10489-006-6925-0","volume":"24","author":"M Kaya","year":"2006","unstructured":"Kaya M, Alhajj R (2006) Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rule mining. Appl Intell 24(1):7\u201315","journal-title":"Appl Intell"},{"key":"32_CR13","unstructured":"Kim Y (2001) The curse of the missing data. In: http:\/\/209.68.240.11:8080"},{"key":"32_CR14","doi-asserted-by":"crossref","DOI":"10.1002\/9781119013563","volume-title":"Statistical analysis with missing data","author":"R Little","year":"2002","unstructured":"Little R, Rubin D (2002) Statistical analysis with missing data (2nd edn.). John Wiley and Sons, New York","edition":"2"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Liu WZ, White AP, Thompson SG, Bramer MA (1997) Techniques for dealing with missing values in classification. In: IDAL97, vol 1280 of Lecture notes, pp 527\u2013536","DOI":"10.1007\/BFb0052868"},{"key":"32_CR16","unstructured":"Ramoni M (1997) Learning Bayesian networks from incomplete databases. Technical report kmi-97-6, Knowledge Media Institute, The Open University"},{"issue":"4","key":"32_CR17","doi-asserted-by":"crossref","first-page":"1038","DOI":"10.1162\/003465303772815916","volume":"85","author":"D Millimet","year":"2003","unstructured":"Millimet D, List J, Stengos T (2003) The environmental kuznets curve: Real progress or misspecified models? Rev Econ Stat 85(4):1038\u20131047","journal-title":"Rev Econ Stat"},{"key":"32_CR18","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1080\/00031305.1990.10475687","volume":"44","author":"J Peixoto","year":"1990","unstructured":"Peixoto J (1990) A property of well-formulated polynomial regression models. Am Stat 44:26\u201330","journal-title":"Am Stat"},{"key":"32_CR19","unstructured":"Pickle S et al (2005). Robust parameter design: a semi-parametric approach. In: http:\/\/www.stat.vt.edu\/tech_reports\/VTTechReport05-7.pdf"},{"key":"32_CR20","unstructured":"Pin T, James L (1999) The elasticity of demand for gasoline: a semi-parametric analysis. In http:\/\/uiuc.edu\/\u223cng\/working\/gas.ps"},{"key":"32_CR21","unstructured":"Pyle D (1994) Data preparation for data mining. Morgan Kaufmann Publishers, Inc"},{"key":"32_CR22","unstructured":"Qin YS, Rao JNK (2004) Confidence intervals for parameters of the response variable in a linear model with missing data. Technique Report"},{"key":"32_CR23","doi-asserted-by":"crossref","unstructured":"Quinlan JR (1989) Unknown attribute values in induction. In: proc. 6th int\u2019 workshop on machine learning, Ithaca, pp 164\u2013168","DOI":"10.1016\/B978-1-55860-036-2.50048-5"},{"key":"32_CR24","volume-title":"C4.5: Programs for machine learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan JR (1993) C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo, USA"},{"key":"32_CR25","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-3324-9","volume-title":"Density estimation for statistics and data analysis","author":"B Silverman","year":"1986","unstructured":"Silverman B (1986) Density estimation for statistics and data analysis. Chapman and Hall, New York"},{"key":"32_CR26","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1111\/1467-9469.00306","volume":"29","author":"Q Wang","year":"2002a","unstructured":"Wang Q, Rao JNK (2002a) Empirical likelihood-based inference in linear models with missing data. Scand J Statist 29:563\u2013576","journal-title":"Scand J Statist"},{"key":"32_CR27","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1214\/aos\/1028674841","volume":"30","author":"Q Wang","year":"2002b","unstructured":"Wang Q, Rao J (2002b) Empirical likelihood-based inference under imputation with missing response. Ann Statistics 30:563\u2013576","journal-title":"Ann Statistics"},{"key":"32_CR28","doi-asserted-by":"crossref","unstructured":"Wang Q, Hardle W (2004) Semiparametric regression analysis with missing response at random. J Am Statistical Assoc 99","DOI":"10.1198\/016214504000000449"},{"key":"32_CR29","first-page":"35","volume-title":"Research and development in expert systems III","author":"AP White","year":"1987","unstructured":"White AP (1987) Probabilistic induction by dynamic path generation in virtual trees. In: Bramer MA (ed) Research and development in expert systems III. Cambridge, Cambridge University Press, pp 35\u201346"},{"issue":"9","key":"32_CR30","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1109\/TKDE.2005.146","volume":"17","author":"C Zhang","year":"2005","unstructured":"Zhang C, Yang Q, Liu B (2005) Intelligent data preparation. IEEE Trans Knowl Data Eng 17(9):1163\u20131165","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"32_CR31","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/A:1020995206763","volume":"18","author":"C Zhang","year":"2003","unstructured":"Zhang C, Zhang S, Webb G (2003) Identifying approximate itemsets of interest in large databases. Appl Intell 18:91\u2013104","journal-title":"Appl Intell"},{"issue":"2","key":"32_CR32","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/MIS.2004.1274905","volume":"19","author":"S Zhang","year":"2004","unstructured":"Zhang S, Zhang C, Yang Q (2004) Information enhancement for data mining. IEEE Intell Syst 19(2):12\u201313","journal-title":"IEEE Intell Syst"},{"issue":"12","key":"32_CR33","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1109\/TKDE.2005.188","volume":"17","author":"S Zhang","year":"2005","unstructured":"Zhang S, Qin ZX, Ling CX, Sheng SL (2005) Missing is useful: missing values in cost-sensitive decision trees. IEEE Trans Knowl Data Eng 17(12):1689\u20131693","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"32_CR34","doi-asserted-by":"crossref","unstructured":"Zhang S et al (2006) Optimized parameters for missing data imputation. In: Proceedings of PRICAI 2006, Guilin, China, August 7\u201311, 2006 Proceedings, pp 1010\u20131016","DOI":"10.1007\/978-3-540-36668-3_124"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-006-0032-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-006-0032-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-006-0032-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T01:28:04Z","timestamp":1736731684000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-006-0032-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,1,18]]},"references-count":34,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2007,6,18]]}},"alternative-id":["32"],"URL":"https:\/\/doi.org\/10.1007\/s10489-006-0032-0","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2007,1,18]]}}}