{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:42:01Z","timestamp":1742928121405,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030630065"},{"type":"electronic","value":"9783030630072"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63007-2_29","type":"book-chapter","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:02:39Z","timestamp":1606089759000},"page":"373-387","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Combined Learning-Based Bagging Method for Classification Improvement"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3589-4548","authenticated-orcid":false,"given":"Chau","family":"Vo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2861-0228","authenticated-orcid":false,"given":"Hua Phung","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,23]]},"reference":[{"key":"29_CR1","unstructured":"Academic Affairs Office, Ho Chi Minh City University of Technology, Vietnam. http:\/\/www.aao.hcmut.edu.vn, 29 June 2017"},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.knosys.2013.12.023","volume":"60","author":"B Antal","year":"2014","unstructured":"Antal, B., Hajdu, A.: An ensemble-based system for automatic screening of diabetic retinopathy. Knowl.-Based Syst. 60, 20\u201327 (2014)","journal-title":"Knowl.-Based Syst."},{"key":"29_CR3","doi-asserted-by":"publisher","first-page":"210","DOI":"10.2337\/dc16-0826","volume":"40","author":"D Bertsimas","year":"2017","unstructured":"Bertsimas, D., Kallus, N., Weinstein, A.M., Zhuo, Y.D.: Personalized diabetes management using electronic medical records. Diabetes Care 40, 210\u2013217 (2017)","journal-title":"Diabetes Care"},{"key":"29_CR4","unstructured":"Chujai, P., Chomboon, K., Chaiyakhan, K., Kerdprasop, K., Kerdprasop, N.: A cluster based classification of imbalanced data with overlapping regions between classes. In: Proceedings of the International MultiConference of Engineers and Computer Scientists I, pp. 1-6 (2017)"},{"key":"29_CR5","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, 21\u201327 (1967)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Das, B., Krishnan, N.C., Cook, D.J.: Handling class overlap and imbalance to detect prompt situations in smart homes. In: Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops, pp. 1\u20138 (2013)","DOI":"10.1109\/ICDMW.2013.18"},{"key":"29_CR7","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1613\/jair.1.11192","volume":"61","author":"A Fern\u00e1ndez","year":"2018","unstructured":"Fern\u00e1ndez, A., Garc\u00eda, S., Herrera, F., Chawla, N.V.: SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary. J. Artif. Intell. Res. 61, 863\u2013905 (2018)","journal-title":"J. Artif. Intell. Res."},{"key":"29_CR8","unstructured":"Kuzilek, J, Hlosta, M., Herrmannova, D., Zdrahal, Z., Wolff, A.: OU analyse: analysing at-risk students at the open university. Learning Analytics Review, no. LAK15\u20131, March 2015"},{"key":"29_CR9","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.eswa.2018.01.008","volume":"98","author":"HK Lee","year":"2018","unstructured":"Lee, H.K., Kim, S.B.: An overlap-sensitive margin classifier for imbalanced and overlapping data. Expert Syst. Appl. 98, 72\u201383 (2018)","journal-title":"Expert Syst. Appl."},{"key":"29_CR10","unstructured":"L\u00f3pez, V., Fern\u00e1ndez, A., Moreno-Torres, J.G., Herrera, F.: Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Syst. Appl. 39, 6585\u20136608 (2012)"},{"key":"29_CR11","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley Symposium Math. Stat. Prob., pp. 1:281\u2013297 (1967)"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, H.G.P., Vo, C.T.N.: A CNN model with data imbalance handling for course-level student prediction based on forum texts. In: Proceedings of the 10th International Conference on Computational Collective Intelligence, pp. 479\u2013490 (2018)","DOI":"10.1007\/978-3-319-98443-8_44"},{"key":"29_CR13","unstructured":"UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml. Accessed June May 2016"},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Vo, C.T.N., Nguyen, H.P.: A class-cluster k-nearest neighbors method for temporal in-trouble student identification. In: Proceedings of the 11th Asian Conference on Intelligent Information and Database Systems, pp. 219\u2013230 (2019)","DOI":"10.1007\/978-3-030-14799-0_19"},{"key":"29_CR15","unstructured":"Vo, T.N.C., Nguyen, H.P.: A kernel-induced weighted object-cluster association-based ensemble method for educational data clustering. J. Inform. Telecommun. 8, 1\u201321 (2019)"},{"key":"29_CR16","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.neucom.2014.10.007","volume":"152","author":"P Vorraboot","year":"2015","unstructured":"Vorraboot, P., Rasmequan, S., Chinnasarn, K.: Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms. Neurocomputing 152, 429\u2013443 (2015)","journal-title":"Neurocomputing"},{"key":"29_CR17","unstructured":"Weka 3. http:\/\/www.cs.waikato.ac.nz\/ml\/weka. Accessed 2 June 2017"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Zhou, Z.H.: Ensemble Methods: Foundations and Algorithms. Chapman and Hall\/CRC (2012)","DOI":"10.1201\/b12207"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63007-2_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:15:44Z","timestamp":1606090544000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-63007-2_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030630065","9783030630072"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63007-2_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"23 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Da Nang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2020","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":"iccci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}