{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:15:25Z","timestamp":1750306525601,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,12,4]],"date-time":"2014-12-04T00:00:00Z","timestamp":1417651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Grant-in-Aid for Scientic Research","award":["26350357 and 25350311"],"award-info":[{"award-number":["26350357 and 25350311"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,12,4]]},"DOI":"10.1145\/2684200.2684288","type":"proceedings-article","created":{"date-parts":[[2015,2,23]],"date-time":"2015-02-23T16:02:15Z","timestamp":1424707335000},"page":"296-301","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Investigations into Missing Values Imputation Using Random Forests for Semi-supervised Data"],"prefix":"10.1145","author":[{"given":"Tsunenori","family":"Ishioka","sequence":"first","affiliation":[{"name":"The National Center for University Entrance Examinations, 2-19-23 Komaba, Meguro-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_2_1","unstructured":"L. Breiman Manual for Setting Up Using and Understanding Random Forest V4.0 http:\/\/oz.berkeley.edu\/users\/breiman\/Using_random_forests_v4.0.pdf 2003.  L. Breiman Manual for Setting Up Using and Understanding Random Forest V4.0 http:\/\/oz.berkeley.edu\/users\/breiman\/Using_random_forests_v4.0.pdf 2003."},{"key":"e_1_3_2_1_3_1","unstructured":"L. Breiman and A. Cutler Random forests http:\/\/www.stat.berkeley.edu\/~breiman\/RandomForests\/updated March 3 2004.  L. Breiman and A. Cutler Random forests http:\/\/www.stat.berkeley.edu\/~breiman\/RandomForests\/updated March 3 2004."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 57--64","author":"Chapelle O.","year":"2005","unstructured":"O. Chapelle and A. Zien , Semi-supervised classification by low density separation , In Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 57--64 , 2005 . O. Chapelle and A. Zien, Semi-supervised classification by low density separation, In Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 57--64, 2005."},{"key":"e_1_3_2_1_5_1","unstructured":"CRAN Package randomForest http:\/\/cran.r-project.org\/web\/packages\/randomForest\/randomForest.pdf  CRAN Package randomForest http:\/\/cran.r-project.org\/web\/packages\/randomForest\/randomForest.pdf"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/10705510802154307"},{"key":"e_1_3_2_1_7_1","volume-title":"Data Analysis Using Regression and Multilevel\/Hierarchical Models","author":"Gelman A.","year":"2007","unstructured":"A. Gelman and J. Hill , Data Analysis Using Regression and Multilevel\/Hierarchical Models , Cambridge University Press , 2007 . A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel\/Hierarchical Models, Cambridge University Press, 2007."},{"key":"e_1_3_2_1_8_1","volume-title":"Canada","author":"Guo Y.","year":"2011","unstructured":"Y. Guo , H. Zhang , and X. Liu . Instance selection in semi-supervised learning. In proceeding of Advances in Artificial Intelligence -- 24th Canadian Conference on Artificial Intelligence (Canadian AI 2011) , Canada , 2011 . Y. Guo, H. Zhang, and X. Liu. Instance selection in semi-supervised learning. In proceeding of Advances in Artificial Intelligence -- 24th Canadian Conference on Artificial Intelligence (Canadian AI 2011), Canada, 2011."},{"key":"e_1_3_2_1_9_1","volume-title":"Logistic Regression, and Survival Analysis","author":"Harrell F. E.","year":"2001","unstructured":"F. E. Harrell Jr . , Regression Modeling Strategies with Applications to Linear Models , Logistic Regression, and Survival Analysis . Springer . 2001 . F. E. Harrell Jr., Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer. 2001."},{"key":"e_1_3_2_1_10_1","unstructured":"F. E. Harrell  Jr. Titanic Data http:\/\/www.stats4stem.org\/r-titanic3-data.html 2002.  F. E. Harrell Jr. Titanic Data http:\/\/www.stats4stem.org\/r-titanic3-data.html 2002."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2428736.2428793"},{"key":"e_1_3_2_1_12_1","unstructured":"A. Liaw Missing value imputations by randomForest R Documentation http:\/\/www.stat.ucl.ac.be\/ISdidactique\/Rhelp\/library\/randomForest\/html\/rfImpute.html  A. Liaw Missing value imputations by randomForest R Documentation http:\/\/www.stat.ucl.ac.be\/ISdidactique\/Rhelp\/library\/randomForest\/html\/rfImpute.html"},{"key":"e_1_3_2_1_13_1","unstructured":"The R Project for Statistical Computing http:\/\/www.r-project.org\/  The R Project for Statistical Computing http:\/\/www.r-project.org\/"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316696","volume-title":"Multiple imputation for nonresponse in surveys","author":"Rubin D. B.","year":"1987","unstructured":"D. B. Rubin , Multiple imputation for nonresponse in surveys , New York : Wiley , 1987 . D. B. Rubin, Multiple imputation for nonresponse in surveys, New York: Wiley, 1987."},{"key":"e_1_3_2_1_15_1","unstructured":"UCI Repository of Machine Learning Databases http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html  UCI Repository of Machine Learning Databases http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.895416"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.01.006"},{"key":"e_1_3_2_1_18_1","volume-title":"TR-1530","author":"Zhu X.","year":"2005","unstructured":"X. Zhu , Semi-supervised learning literature survey , TR-1530 , University of Wisconsin-Madison Department of Computer Science , 2005 (last modified on July 17, 2008). X. Zhu, Semi-supervised learning literature survey, TR-1530, University of Wisconsin-Madison Department of Computer Science, 2005 (last modified on July 17, 2008)."}],"event":{"name":"iiWAS '14: The 16th International Conference on Information Integration and Web-based Applications & Services","sponsor":["@WAS International Organization of Information Integration and Web-based Applications and Services","Johannes Kepler Univ Linz Johannes Kepler Universit\u00e4t Linz"],"location":"Hanoi Viet Nam","acronym":"iiWAS '14"},"container-title":["Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2684200.2684288","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2684200.2684288","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:12:04Z","timestamp":1750227124000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2684200.2684288"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12,4]]},"references-count":18,"alternative-id":["10.1145\/2684200.2684288","10.1145\/2684200"],"URL":"https:\/\/doi.org\/10.1145\/2684200.2684288","relation":{},"subject":[],"published":{"date-parts":[[2014,12,4]]},"assertion":[{"value":"2014-12-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}