{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T14:03:26Z","timestamp":1784988206638,"version":"3.55.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032302274","type":"print"},{"value":"9783032302281","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T00:00:00Z","timestamp":1785024000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T00:00:00Z","timestamp":1785024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-30228-1_7","type":"book-chapter","created":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T13:30:50Z","timestamp":1784986250000},"page":"95-106","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Scalable OWA-Based FRNN for\u00a0Multi-class Imbalanced Classification"],"prefix":"10.1007","author":[{"given":"Junfu","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuan","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongmei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianrui","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,26]]},"reference":[{"issue":"9","key":"7_CR1","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1109\/TKDE.2008.239","volume":"21","author":"H He","year":"2009","unstructured":"He, H., Garcia, E.A.: Learning from imbalanced data. IEEE Trans. Knowl. Data Eng. 21(9), 1263\u20131284 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"04","key":"7_CR2","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1142\/S0218001409007326","volume":"23","author":"Y Sun","year":"2009","unstructured":"Sun, Y., Wong, A.K., Kamel, M.S.: Classification of imbalanced data: a review. Int. J. Pattern Recognit Artif Intell. 23(04), 687\u2013719 (2009)","journal-title":"Int. J. Pattern Recognit Artif Intell."},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ins.2013.07.007","volume":"250","author":"V L\u00f3pez","year":"2013","unstructured":"L\u00f3pez, V., Fern\u00e1ndez, A., Garc\u00eda, S., Palade, V., Herrera, F.: An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250, 113\u2013141 (2013)","journal-title":"Inf. Sci."},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Keller, J.M., Gray, M.R., Givens, J.A.: A fuzzy k-nearest neighbor algorithm. IEEE Trans. Syst., Man, Cybern. 4 580\u2013585 (1985)","DOI":"10.1109\/TSMC.1985.6313426"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Zadeh, L.A.: Fuzzy sets. Inf. Control (1965)","DOI":"10.21236\/AD0608981"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak, Z.: Rough sets. Int. J. Comput. Inform. Sci. 11, 341\u2013356 (1982)","journal-title":"Int. J. Comput. Inform. Sci."},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Dubois, D., Prade, H.: Rough fuzzy sets and fuzzy rough sets. Int. J. General Syst. 17(2\u20133), 191\u2013209 (1990)","DOI":"10.1080\/03081079008935107"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Bian, H., \u00a0Mazlack, L.: Fuzzy-rough nearest-neighbor classification approach. In: 22nd international conference of the north American fuzzy information processing society, NAFIPS 2003, IEEE, 2003, pp. 500\u2013505 (2003)","DOI":"10.1109\/NAFIPS.2003.1226836"},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1016\/j.ins.2023.01.054","volume":"625","author":"O Kaminska","year":"2023","unstructured":"Kaminska, O., Cornelis, C., Hoste, V.: Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony. Inf. Sci. 625, 521\u2013535 (2023)","journal-title":"Inf. Sci."},{"issue":"1","key":"7_CR10","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1109\/21.87068","volume":"18","author":"RR Yager","year":"1988","unstructured":"Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybern. 18(1), 183\u2013190 (1988)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Vluymans, S., Mac Parthal\u00e1in, N., Cornelis, C., Saeys, Y.: Weight selection strategies for ordered weighted average based fuzzy rough sets. Inf. Sci. 501, 155\u2013171 (2019)","DOI":"10.1016\/j.ins.2019.05.085"},{"key":"7_CR12","doi-asserted-by":"publisher","unstructured":"Lenz, O.U., Peralta, D., Cornelis, C.: A scalable approach to fuzzy rough nearest neighbour classification with ordered weighted averaging operators. In: Mih\u00e1lyde\u00e1k, T., Min, F., Wang, G., Banerjee, M., D\u00fcntsch, I., Suraj, Z., Ciucci, D. (eds.) IJCRS 2019. LNCS (LNAI), vol. 11499, pp. 197\u2013209. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22815-6_16","DOI":"10.1007\/978-3-030-22815-6_16"},{"issue":"4","key":"7_CR13","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TPAMI.2018.2889473","volume":"42","author":"YA Malkov","year":"2018","unstructured":"Malkov, Y.A., Yashunin, D.A.: Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs. IEEE Trans. Pattern Anal. Mach. Intell. 42(4), 824\u2013836 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"7_CR14","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1109\/TFUZZ.2019.2949769","volume":"28","author":"OU Lenz","year":"2019","unstructured":"Lenz, O.U., Peralta, D., Cornelis, C.: Scalable approximate FRNN-OWA classification. IEEE Trans. Fuzzy Syst. 28(5), 929\u2013938 (2019)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"1","key":"7_CR15","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21\u201327 (1967)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"7_CR16","first-page":"101","volume":"5","author":"R Rifkin","year":"2004","unstructured":"Rifkin, R., Klautau, A.: In defense of one-vs-all classification. J. Mach. Learn. Res. 5, 101\u2013141 (2004)","journal-title":"J. Mach. Learn. Res."},{"issue":"1\u20133","key":"7_CR17","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1016\/S0165-0114(97)00104-8","volume":"100","author":"NN Morsi","year":"1998","unstructured":"Morsi, N.N., Yakout, M.M.: Axiomatics for fuzzy rough sets. Fuzzy Sets Syst. 100(1\u20133), 327\u2013342 (1998)","journal-title":"Fuzzy Sets Syst."},{"issue":"6","key":"7_CR18","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MSP.2015.2398954","volume":"32","author":"I Dokmanic","year":"2015","unstructured":"Dokmanic, I., Parhizkar, R., Ranieri, J., Vetterli, M.: Euclidean distance matrices: essential theory, algorithms, and applications. IEEE Signal Process. Mag. 32(6), 12\u201330 (2015)","journal-title":"IEEE Signal Process. Mag."},{"key":"7_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2025.109516","volume":"519","author":"OU Lenz","year":"2025","unstructured":"Lenz, O.U., Bollaert, H., Cornelis, C.: A unified weighting framework for evaluating nearest neighbour classification. Fuzzy Sets Syst. 519, 109516 (2025)","journal-title":"Fuzzy Sets Syst."},{"key":"7_CR20","unstructured":"Dua, D., Taniskidou, E.K.: Uci machine learning repository, Online, available: http:\/\/archive.ics.uci.edu\/ml (2017)"},{"key":"7_CR21","unstructured":"Karau, H., \u00a0Konwinski, A., \u00a0Wendell, P., Zaharia, M.: Learning spark: lightning-fast big data analysis, O\u2019Reilly Media, Inc. (2015)"}],"container-title":["Lecture Notes in Computer Science","Rough Sets"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-30228-1_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T13:30:51Z","timestamp":1784986251000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-30228-1_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,26]]},"ISBN":["9783032302274","9783032302281"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-30228-1_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,26]]},"assertion":[{"value":"26 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IJCRS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Rough Sets","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"C\u00e1diz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijcrs2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ijcrs2026.uca.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}