{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T22:57:42Z","timestamp":1772319462087,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319604374","type":"print"},{"value":"9783319604381","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-60438-1_31","type":"book-chapter","created":{"date-parts":[[2017,6,13]],"date-time":"2017-06-13T00:13:43Z","timestamp":1497312823000},"page":"312-322","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Evaluating Difficulty of Multi-class Imbalanced Data"],"prefix":"10.1007","author":[{"given":"Mateusz","family":"Lango","sequence":"first","affiliation":[]},{"given":"Krystyna","family":"Napierala","sequence":"additional","affiliation":[]},{"given":"Jerzy","family":"Stefanowski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,14]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"B\u0142aszczy\u0144ski, J., Stefanowski, J.: Neighbourhood sampling in bagging for imbalanced data. Neurocomputing 150A, 184\u2013203 (2015)","DOI":"10.1016\/j.neucom.2014.07.064"},{"issue":"1","key":"31_CR2","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1109\/TKDE.2015.2458858","volume":"28","author":"L Abdi","year":"2016","unstructured":"Abdi, L., Hashemi, S.: To combat multi-class imbalanced problems by means of over-sampling techniques. IEEE Trans. Knowl. Data Eng. 28(1), 238\u2013251 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"31_CR3","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1145\/2907070","volume":"49","author":"P Branco","year":"2016","unstructured":"Branco, P., Torgo, L., Ribeiro, R.: A survey of predictive modeling under imbalanced distributions. ACM Comput. Surv. (CSUR) 49(2), 31 (2016)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"31_CR4","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.knosys.2013.01.018","volume":"42","author":"A Fernandez","year":"2013","unstructured":"Fernandez, A., Lopez, V., Galar, M., Jesus, M., Herrera, F.: Analysis the classification of imbalanced data sets with multiple classes, binarization techniques and ad-hoc approaches. Knowl. Based Syst. 42, 97\u2013110 (2013)","journal-title":"Knowl. Based Syst."},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"He, H., Yungian, Ma. (eds.): Imbalanced Learning. Foundations, Algorithms and Applications. IEEE - Wiley, Hoboken (2013)","DOI":"10.1002\/9781118646106"},{"issue":"5","key":"31_CR6","doi-asserted-by":"crossref","first-page":"429","DOI":"10.3233\/IDA-2002-6504","volume":"6","author":"N Japkowicz","year":"2002","unstructured":"Japkowicz, N., Stephen, S.: Class imbalance problem: a systematic study. Intell. Data Anal. J. 6(5), 429\u2013450 (2002)","journal-title":"Intell. Data Anal. J."},{"key":"31_CR7","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s13748-016-0094-0","volume":"5","author":"B Krawczyk","year":"2016","unstructured":"Krawczyk, B.: Learning from imbalanced data: open challenges and future directions. Progress Artif. Intell. 5, 221\u2013232 (2016)","journal-title":"Progress Artif. Intell."},{"key":"31_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28931-6_14","volume-title":"Hybrid Artificial Intelligent Systems","author":"K Napierala","year":"2012","unstructured":"Napierala, K., Stefanowski, J.: Identification of different types of minority class examples in imbalanced data. In: Corchado, E., Sn\u00e1s\u030cel, V., Abraham, A., Wo\u017aniak, M., Gra\u00f1a, M., Cho, S.B. (eds.) HAIS 2012. LNCS, vol. 7209. Springer, Heidelberg (2012). doi:10.1007\/978-3-642-28931-6_14"},{"issue":"3","key":"31_CR9","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/s10844-015-0368-1","volume":"46","author":"K Napierala","year":"2016","unstructured":"Napierala, K., Stefanowski, J.: Types of minority class examples and their influence on learning classifiers from imbalanced data. J. Intell. Inf. Syst. 46(3), 563\u2013597 (2016)","journal-title":"J. Intell. Inf. Syst."},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.patcog.2016.03.012","volume":"57","author":"J Seaz","year":"2016","unstructured":"Seaz, J., Krawczyk, B., Wozniak, M.: Analyzing the oversampling of different classes and types in multi-class imbalanced data. Pattern Recogn. 57, 164\u2013178 (2016)","journal-title":"Pattern Recogn."},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Stefanowski, J.: Dealing with data difficulty factors while learning from imbalanced data. In: Mielniczuk, J., Matwin, S. (eds.) Challenges in Computational Statistics and Data Mining, pp. 333\u2013363. Springer, Heidelberg (2016)","DOI":"10.1007\/978-3-319-18781-5_17"},{"key":"31_CR12","doi-asserted-by":"crossref","unstructured":"Wang, S., Yao, X.: Mutliclass imbalance problems: analysis and potential solutions. IEEE Trans. Syst. Man Cybern. Part B 42(4), 1119\u20131130 (2012)","DOI":"10.1109\/TSMCB.2012.2187280"},{"key":"31_CR13","unstructured":"Wojciechowski, S., Wilk, S.: The generator of synthetic multi-dimensional data. Poznan University of Technology Report RB-16\/14 (2014)"}],"container-title":["Lecture Notes in Computer Science","Foundations of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60438-1_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:41:17Z","timestamp":1710232877000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-60438-1_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319604374","9783319604381"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60438-1_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"14 June 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISMIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Methodologies for Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Warsaw","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ismis2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ismis2017.ii.pw.edu.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}