{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T16:47:03Z","timestamp":1762015623987,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T00:00:00Z","timestamp":1545350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"State Grid Liaoning Electric Power Supply CO., LTD","award":["SGLNXT00YJJS1800110"],"award-info":[{"award-number":["SGLNXT00YJJS1800110"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,12,21]]},"DOI":"10.1145\/3302425.3302447","type":"proceedings-article","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T19:17:35Z","timestamp":1549480655000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Imputation Method of Missing Values for Dissolved Gas Analysis Data Based on Iterative KNN and XGBoost"],"prefix":"10.1145","author":[{"given":"Lin","family":"Qiao","sequence":"first","affiliation":[{"name":"State Grid Liaoning Electric Power Supply Co., Ltd, Shenyang Liaoning China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ran","family":"Ran","sequence":"additional","affiliation":[{"name":"State Grid Liaoning Electric Power Supply Co., Ltd, Shenyang Liaoning China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"He","family":"Wu","sequence":"additional","affiliation":[{"name":"State Grid Liaoning Electric Power Supply Co., Ltd, Shenyang Liaoning China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaoni","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Grid Liaoning Electric Power Supply Co., Ltd, Shenyang Liaoning China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai","family":"Liu","sequence":"additional","affiliation":[{"name":"State Grid Electric Power Research Institute, Nari Group Corporation, Nanjing JiangSu China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunfei","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing JiangSu China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,12,21]]},"reference":[{"volume-title":"New Challenges to Power System Planning and Operation of Smart Grid Development in China\/\/ International Conference on Power System Technology","author":"Zhang R","key":"e_1_3_2_1_1_1","unstructured":"Zhang R , Du Y , Liu Y. , 2010. New Challenges to Power System Planning and Operation of Smart Grid Development in China\/\/ International Conference on Power System Technology . IEEE. Zhang R, Du Y, Liu Y., 2010. New Challenges to Power System Planning and Operation of Smart Grid Development in China\/\/ International Conference on Power System Technology. IEEE."},{"key":"e_1_3_2_1_2_1","unstructured":"Gang L I Pu J Wen F etal 2016.A Partial Order Reduction Based Method for Big Data Preprocessing in Smart Grid Environment. Automation of Electric Power Systems.  Gang L I Pu J Wen F et al. 2016.A Partial Order Reduction Based Method for Big Data Preprocessing in Smart Grid Environment. Automation of Electric Power Systems."},{"volume-title":"Clustering approaches for data with missing values: Comparison and evaluation\/\/ International Conference on Digital Information Management","author":"Himmelspach L","key":"e_1_3_2_1_3_1","unstructured":"Himmelspach L , Conrad S. , 2010. Clustering approaches for data with missing values: Comparison and evaluation\/\/ International Conference on Digital Information Management . IEEE. Himmelspach L, Conrad S., 2010. Clustering approaches for data with missing values: Comparison and evaluation\/\/ International Conference on Digital Information Management. IEEE."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2008.05.008"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Chen T Guestrin C. 2016. XGBoost: A Scalable Tree Boosting System.  Chen T Guestrin C. 2016. XGBoost: A Scalable Tree Boosting System.","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02530494"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.4236\/jcc.2014.29004"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00357-009-9038-8"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-016-1119-4"},{"volume-title":"Transformer Fault Diagnosis Based on Naive Bayesian Classifier and SVR{C}\/\/ Tencon IEEE Region 10 Conference","author":"Yongli Z","key":"e_1_3_2_1_10_1","unstructured":"Yongli Z , Fang W , Lanqin G. , 2006. Transformer Fault Diagnosis Based on Naive Bayesian Classifier and SVR{C}\/\/ Tencon IEEE Region 10 Conference . IEEE. Yongli Z, Fang W, Lanqin G., 2006. Transformer Fault Diagnosis Based on Naive Bayesian Classifier and SVR{C}\/\/ Tencon IEEE Region 10 Conference. IEEE."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Zhang S Wu X Zhu M. 2010. Efficient missing data imputation for supervised learning.  Zhang S Wu X Zhu M. 2010. Efficient missing data imputation for supervised learning.","DOI":"10.1109\/COGINF.2010.5599826"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2010.11.887"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.4236\/jcc.2014.29004"},{"key":"e_1_3_2_1_14_1","volume-title":"FINNIM: Iterative Imputation of Missing Values in Dissolved Gas Analysis Dataset","author":"Sahri Z","year":"2014","unstructured":"Sahri , Z , Yusof , R , Watada , J. , 2014 . FINNIM: Iterative Imputation of Missing Values in Dissolved Gas Analysis Dataset . Industrial Informatics IEEE Transactions on. Sahri, Z, Yusof, R, Watada, J., 2014. FINNIM: Iterative Imputation of Missing Values in Dissolved Gas Analysis Dataset. Industrial Informatics IEEE Transactions on."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Yu H Wu Q Lu Y etal 2017. Research on Fault Diagnosis of Power Transformer Equipment Based on KNN Algorithm{C}\/\/ International Conference on Mechatronics and Intelligent Robotics. Springer Cham.  Yu H Wu Q Lu Y et al. 2017. Research on Fault Diagnosis of Power Transformer Equipment Based on KNN Algorithm{C}\/\/ International Conference on Mechatronics and Intelligent Robotics. Springer Cham.","DOI":"10.1007\/978-3-319-70990-1_25"},{"key":"e_1_3_2_1_16_1","unstructured":"https:\/\/github.com\/Saleh860\/DGA  https:\/\/github.com\/Saleh860\/DGA"},{"key":"e_1_3_2_1_17_1","unstructured":"https:\/\/github.com\/piotrmirowski\/DGA  https:\/\/github.com\/piotrmirowski\/DGA"},{"key":"e_1_3_2_1_18_1","unstructured":"https:\/\/github.com\/srijanee\/DGA  https:\/\/github.com\/srijanee\/DGA"}],"event":{"name":"ACAI 2018: 2018 International Conference on Algorithms, Computing and Artificial Intelligence","sponsor":["The Hong Kong Polytechnic The Hong Kong Polytechnic University","City University of Hong Kong City University of Hong Kong"],"location":"Sanya China","acronym":"ACAI 2018"},"container-title":["Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3302425.3302447","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3302425.3302447","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:05:45Z","timestamp":1750273545000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3302425.3302447"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,21]]},"references-count":18,"alternative-id":["10.1145\/3302425.3302447","10.1145\/3302425"],"URL":"https:\/\/doi.org\/10.1145\/3302425.3302447","relation":{},"subject":[],"published":{"date-parts":[[2018,12,21]]},"assertion":[{"value":"2018-12-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}