{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:35:14Z","timestamp":1750221314861,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T00:00:00Z","timestamp":1501459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,7,31]]},"DOI":"10.1145\/3110025.3110161","type":"proceedings-article","created":{"date-parts":[[2017,11,14]],"date-time":"2017-11-14T14:40:22Z","timestamp":1510670422000},"page":"1017-1024","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Context Similarity for Retrieval-Based Imputation"],"prefix":"10.1145","author":[{"given":"Ahmad","family":"Ahmadov","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, Dresden University of Technology, Database Technology Group, Dresden, Germany"}]},{"given":"Maik","family":"Thiele","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Dresden University of Technology, Database Technology Group, Dresden, Germany"}]},{"given":"Wolfgang","family":"Lehner","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Dresden University of Technology, Database Technology Group, Dresden, Germany"}]},{"given":"Robert","family":"Wrembel","sequence":"additional","affiliation":[{"name":"Poznan University of Technology Institute of Computing Science Poznan, Poland"}]}],"member":"320","published-online":{"date-parts":[[2017,7,31]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/BDC.2015.38"},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Imputation of Categorical Variables with PROC MI","volume":"30","author":"Allison P. D.","year":"2005","unstructured":"P. D. Allison. Imputation of Categorical Variables with PROC MI. SUGI 30, 30(1):1--14, 2005.","journal-title":"SUGI"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.31.2.150"},{"key":"e_1_3_2_1_4_1","first-page":"251","article-title":"A study of k-nearest neighbour as an imputation method","volume":"87","author":"Batista G. E. A. P. A.","year":"2002","unstructured":"G. E. A. P. A. Batista and M. C. Monard. A study of k-nearest neighbour as an imputation method. Front. Artif. Intell. Appl., 87:251--260, 2002.","journal-title":"Front. Artif. Intell. Appl."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1519103.1519112"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/BDC.2015.30"},{"key":"e_1_3_2_1_8_1","volume-title":"Multiple imputation: Review of theory, implementation and software. Stat. Med., 28(November 2006):221--239","author":"Harel O.","year":"2007","unstructured":"O. Harel and X.-H. Zhou. Multiple imputation: Review of theory, implementation and software. Stat. Med., 28(November 2006):221--239, 2007."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v045.i07"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775126"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2010.05.002"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJKESDP.2009.021985"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35063-4_18"},{"key":"e_1_3_2_1_14_1","series-title":"Wiley Series in Probability and Statistics - Applied Probability and Statistics Section Series","volume-title":"Statistical Analysis With Missing Data","author":"Little R.","year":"1987","unstructured":"R. Little and D. Rubin. Statistical Analysis With Missing Data. Wiley Series in Probability and Statistics - Applied Probability and Statistics Section Series. Wiley, 1987."},{"key":"e_1_3_2_1_15_1","volume-title":"Incomplete data management: a survey","author":"Miao X.","year":"2016","unstructured":"X. Miao and Y. Gao. Incomplete data management: a survey. 2016."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1076\/edre.7.4.353.8937"},{"key":"e_1_3_2_1_17_1","volume-title":"Machine learning-based missing value imputation method for clinical datasets. Lect. Notes Electr. Eng., 229 LNEE","author":"Rahman M. M.","year":"2013","unstructured":"M. M. Rahman and D. N. Davis. Machine learning-based missing value imputation method for clinical datasets. Lect. Notes Electr. Eng., 229 LNEE, 2013."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316696"},{"key":"e_1_3_2_1_19_1","first-page":"79","volume-title":"Proc. Surv. Res. methods Sect. Am. Stat. Assoc.","author":"Rubin D. B.","year":"1988","unstructured":"D. B. Rubin. An Overview of Multiple Imputation. Proc. Surv. Res. methods Sect. Am. Stat. Assoc., pages 79--84, 1988."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781439821862"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1201\/b11826"},{"key":"e_1_3_2_1_22_1","first-page":"236","volume-title":"Wu. Using Association Rules for Completing Missing Data. Fourth Int. Conf. Hybrid Intell. Syst.","year":"2004","unstructured":"C.-h. Wu. Using Association Rules for Completing Missing Data. Fourth Int. Conf. Hybrid Intell. Syst., pages 236--241, 2004."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213848"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465276"}],"event":{"name":"ASONAM '17: Advances in Social Networks Analysis and Mining 2017","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","IEEE CS"],"location":"Sydney Australia","acronym":"ASONAM '17"},"container-title":["Proceedings of the 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining 2017"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3110025.3110161","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3110025.3110161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:43Z","timestamp":1750212823000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3110025.3110161"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,31]]},"references-count":24,"alternative-id":["10.1145\/3110025.3110161","10.1145\/3110025"],"URL":"https:\/\/doi.org\/10.1145\/3110025.3110161","relation":{},"subject":[],"published":{"date-parts":[[2017,7,31]]},"assertion":[{"value":"2017-07-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}