{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:02:31Z","timestamp":1776888151499,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,2,24]],"date-time":"2017-02-24T00:00:00Z","timestamp":1487894400000},"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":[[2017,2,24]]},"DOI":"10.1145\/3055635.3056581","type":"proceedings-article","created":{"date-parts":[[2017,6,14]],"date-time":"2017-06-14T18:46:30Z","timestamp":1497465990000},"page":"107-111","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["SMOTE-Least Square Support Vector Machine for Classification of Multiclass Imbalanced Data"],"prefix":"10.1145","author":[{"given":"Santi Wulan","family":"Purnami","sequence":"first","affiliation":[{"name":"Department of Statistics, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia"}]},{"given":"Rani Kemala","family":"Trapsilasiwi","sequence":"additional","affiliation":[{"name":"Department of Statistics, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia"}]}],"member":"320","published-online":{"date-parts":[[2017,2,24]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Han J. and M. Kamber 2006. Data Mining Concept and Tehniques. 1st Edn. Elsevier Burlington ISBN-10: 0123814804 pp: 744.   Han J. and M. Kamber 2006. Data Mining Concept and Tehniques. 1st Edn. Elsevier Burlington ISBN-10: 0123814804 pp: 744."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.10.030"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39712-7_39"},{"key":"e_1_3_2_1_4_1","unstructured":"Choi J.M. 2010. A Selective Sampling Method for Imbalanced Data Learning on Support Vector Machines. Phd Thesis Lowa State university http:\/\/lib.dr.iastate.edu\/etd\/11529\/.   Choi J.M. 2010. A Selective Sampling Method for Imbalanced Data Learning on Support Vector Machines. Phd Thesis Lowa State university http:\/\/lib.dr.iastate.edu\/etd\/11529\/."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.06.108"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/1622407.1622416"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.05.054"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-epa.2010.0298"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the Computer and Information Application (ICCIA), 2010 International Conference on Computer and Information Application, Dec. 3-5, IEEE Xplore Press, Tianjin, pp: 374--377","author":"Mirjajili S.","year":"2010","unstructured":"Mirjajili , S. , Hashim , S.Z.M. , 2010 . A New Hybrid PSOGSA Algorithm for Function Optimization . Proceedings of the Computer and Information Application (ICCIA), 2010 International Conference on Computer and Information Application, Dec. 3-5, IEEE Xplore Press, Tianjin, pp: 374--377 . Mirjajili, S., Hashim, S.Z.M., 2010. A New Hybrid PSOGSA Algorithm for Function Optimization. Proceedings of the Computer and Information Application (ICCIA), 2010 International Conference on Computer and Information Application, Dec. 3-5, IEEE Xplore Press, Tianjin, pp: 374--377."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.03.004"}],"event":{"name":"ICMLC 2017: 2017 the 9th International Conference on Machine Learning and Computing","location":"Singapore Singapore","acronym":"ICMLC 2017","sponsor":["Southwest Jiaotong University"]},"container-title":["Proceedings of the 9th International Conference on Machine Learning and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3055635.3056581","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3055635.3056581","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:46Z","timestamp":1750220626000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3055635.3056581"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,24]]},"references-count":12,"alternative-id":["10.1145\/3055635.3056581","10.1145\/3055635"],"URL":"https:\/\/doi.org\/10.1145\/3055635.3056581","relation":{},"subject":[],"published":{"date-parts":[[2017,2,24]]},"assertion":[{"value":"2017-02-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}