{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T23:59:47Z","timestamp":1649116787224},"reference-count":11,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2014]]},"DOI":"10.1587\/transinf.2014edl8064","type":"journal-article","created":{"date-parts":[[2014,11,30]],"date-time":"2014-11-30T23:30:16Z","timestamp":1417390216000},"page":"3226-3229","source":"Crossref","is-referenced-by-count":0,"title":["Balanced Neighborhood Classifiers for Imbalanced Data Sets"],"prefix":"10.1587","volume":"E97.D","author":[{"given":"Shunzhi","family":"ZHU","sequence":"first","affiliation":[{"name":"Xiamen University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"MA","sequence":"additional","affiliation":[{"name":"Xiamen University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiwei","family":"PAN","sequence":"additional","affiliation":[{"name":"Xiamen University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiatian","family":"ZHU","sequence":"additional","affiliation":[{"name":"Queen Mary University of London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangchun","family":"LUO","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] H. He and E.A. Garcia, \u201cLearning from imbalanced data,\u201d IEEE Trans. Knowl. Data Eng., vol.21, no.9, pp.1263-1284, 2009."},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] X. Wu, V. Kumar, J.R. Quinlan, et al., \u201cTop 10 algorithms in data mining,\u201d Knowledge and Information Systems, vol.14, no.1, pp.1-37, 2008.","DOI":"10.1007\/s10115-007-0114-2"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] Q. Hu, D. Yu, and Z. Xie, \u201cNeighborhood classifiers,\u201d Expert systems with applications, vol.34, no.2, pp.866-876, 2008.","DOI":"10.1016\/j.eswa.2006.10.043"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] J. Zhang, T. Li, D. Ruan, and D. Liu, \u201cNeighborhood rough sets for dynamic data mining,\u201d Int. J. Intelligent Systems, vol.27, no.4, pp.317-342, 2012.","DOI":"10.1002\/int.21523"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] P. Zhu and Q. Hu, \u201cAdaptive neighborhood granularity selection and combination based on margin distribution optimization,\u201d Inf. Sci., vol.249, pp.1-12, 2013.","DOI":"10.1016\/j.ins.2013.06.012"},{"key":"6","unstructured":"[6] E. Fix and J.L. Hodges, \u201cDiscriminatory analysis, nonparametric discrimination,\u201d USAF School of Aviation Medicine, Randolph Field, Tex., Project 21-49-004, Rept. 4, Contract AF41(128)-31, Feb. 1951."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] T.M. Cover and P.E. Hart, \u201cNearest neighbor pattern classification,\u201d IEEE Trans. Inf. Theory, vol.13, no.1, pp.21-27, 1967.","DOI":"10.1109\/TIT.1967.1053964"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] J. Van Ness, \u201cOn the dominance of non-parametric Bayes rule discriminant algorithms in high dimensions,\u201d Pattern Recognit., vol.12, no.6, pp.355-368, 1980.","DOI":"10.1016\/0031-3203(80)90012-6"},{"key":"9","unstructured":"[9] A. Frank and A. Asuncion, \u201cUCI machine learning repository. 2010,\u201d http:\/\/archive.ics.uci.edu\/ml"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] C. Seiffert, T.M. Khoshgoftaar, and J. Van Hulse, \u201cImproving software-quality predictions with data sampling and boosting,\u201d IEEE Trans. Syst. Man Cybern., A, Syst. Humans, vol.39, no.6, pp.1283-1294, 2009.","DOI":"10.1109\/TSMCA.2009.2027131"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] Q. Yin, J. Zhang, C. Zhang, and S. Liu, \u201cAn empirical study on the performance of cost-sensitive boosting algorithms with different levels of class imbalance,\u201d Mathematical Problems in Engineering, vol.2013, Article ID 761814, 2013, doi: 10.1155\/2013\/761814","DOI":"10.1155\/2013\/761814"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/12\/E97.D_2014EDL8064\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T06:11:07Z","timestamp":1619417467000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/12\/E97.D_2014EDL8064\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":11,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2014edl8064","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}