{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T06:10:06Z","timestamp":1751523006785,"version":"3.41.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031975660","type":"print"},{"value":"9783031975677","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-97567-7_17","type":"book-chapter","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T05:28:30Z","timestamp":1751520510000},"page":"205-220","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Decision-Making of\u00a0Homogeneous Multiple Classifiers Based on\u00a0Attribute Characterisation by\u00a0Discretisation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5071-7187","authenticated-orcid":false,"given":"Urszula","family":"Sta\u0144czyk","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3788-1094","authenticated-orcid":false,"given":"Beata","family":"Zielosko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8613-631X","authenticated-orcid":false,"given":"Grzegorz","family":"Baron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,4]]},"reference":[{"issue":"2","key":"17_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/S1018-3639(18)30514-2","volume":"21","author":"MN Azaiez","year":"2009","unstructured":"Azaiez, M.N.: Aggregation in decision problems: concepts and applications. J. King Saud Univ. - Eng. Sci. 21(2), 101\u2013109 (2009)","journal-title":"J. King Saud Univ. - Eng. Sci."},{"key":"17_CR2","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-3-319-59424-8_4","volume-title":"Intelligent Decision Technologies 2017","author":"G Baron","year":"2018","unstructured":"Baron, G.: Analysis of multiple classifiers performance for discretized data in authorship attribution. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds.) Intelligent Decision Technologies 2017, pp. 33\u201342. Springer International Publishing, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-59424-8_4"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-319-39627-9_14","volume-title":"Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) \u2013 Part II","author":"G Baron","year":"2016","unstructured":"Baron, G., Har\u0119\u017clak, K.: On approaches to discretization of datasets used for evaluation of decision\u00a0systems. In: Czarnowski, I., Caballero, A.M., Howlett, R.J., Jain, L.C. (eds.) Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) \u2013 Part II, pp. 149\u2013159. Springer International Publishing, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-39627-9_14"},{"issue":"1","key":"17_CR4","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1023\/A:1007515423169","volume":"36","author":"E Bauer","year":"1999","unstructured":"Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach. Learn. 36(1), 105\u2013139 (1999)","journal-title":"Mach. Learn."},{"key":"17_CR5","unstructured":"Bock, R.: MAGIC Gamma Telescope (Dataset). UCI Machine Learning Repository (2004). Accessed 05 Feb 2025"},{"key":"17_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"17_CR7","unstructured":"Breiman, L., Stone, C.: Waveform Database Generator (Version 1). UCI Machine Learning Repository (1984). Accessed 05 Feb 2025"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"De\u00a0Stefano, C., Maniaci, M., Fontanella, F., Scotto\u00a0di Freca, A.: Reliable writer identification in medieval manuscripts through page layout features: the \u201cAvila\u201d Bible case. Eng. Appl. Artif. Intell. 72, 99\u2013110 (2018)","DOI":"10.1016\/j.engappai.2018.03.023"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Dogan, A., Birant, D.: A weighted majority voting ensemble approach for classification. In: 2019 4th International Conference on Computer Science and Engineering (UBMK), pp.\u00a01\u20136 (2019)","DOI":"10.1109\/UBMK.2019.8907028"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: Machine Learning Proceedings 1995: Proceedings of the 12th International Conference on Machine Learning, pp. 194\u2013202. Elsevier (1995)","DOI":"10.1016\/B978-1-55860-377-6.50032-3"},{"key":"17_CR11","unstructured":"Frank, E., Witten, I.H.: Generating accurate rule sets without global optimization. In: Proceedings of the Fifteenth International Conference on Machine Learning, pp. 144\u2013151. Morgan Kaufmann Publishers Inc. (1998)"},{"key":"17_CR12","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. Morgan Kaufmann (2011)"},{"key":"17_CR13","unstructured":"Kelly, M., Longjohn, R., Nottingham, K.: The UCI Machine Learning Repository. https:\/\/archive.ics.uci.edu. Accessed 05 Feb 2025"},{"key":"17_CR14","unstructured":"Kononenko, I.: On biases in estimating multi-valued attributes. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence IJCAI\u201995. vol.\u00a02, pp. 1034\u20131040. Morgan Kaufmann Publishers Inc., Montreal, Canada (1995)"},{"issue":"2","key":"17_CR15","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"LI Kuncheva","year":"2003","unstructured":"Kuncheva, L.I., Whitaker, C.J.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 51(2), 181\u2013207 (2003)","journal-title":"Mach. Learn."},{"key":"17_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108972","volume":"136","author":"O Peretz","year":"2024","unstructured":"Peretz, O., Koren, M., Koren, O.: Naive Bayes classifier - an ensemble procedure for recall and precision enrichment. Eng. Appl. Artif. Intell. 136, 108972 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"17_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10462-009-9124-7","volume":"33","author":"L Rokach","year":"2010","unstructured":"Rokach, L.: Ensemble-based classifiers. Artif. Intell. Rev. 33, 1\u201339 (2010)","journal-title":"Artif. Intell. Rev."},{"key":"17_CR18","unstructured":"Rybicki, J., Eder, M., Hoover, D.: Computational stylistics and text analysis. In: Crompton, C., Lane, R., Siemens, R. (eds.) Doing Digital Humanities: Practice, Training, Research, pp. 123\u2013144. Routledge, 1 edn. (2016)"},{"key":"17_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107689","volume":"111","author":"MP Sesmero","year":"2021","unstructured":"Sesmero, M.P., Iglesias, J.A., Mag\u00e1n, E., Ledezma, A., Sanchis, A.: Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Appl. Soft Comput. 111, 107689 (2021)","journal-title":"Appl. Soft Comput."},{"key":"17_CR20","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-319-59421-7_15","volume-title":"Intelligent Decision Technologies 2017: Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017) \u2013 Part I","author":"U Sta\u0144czyk","year":"2018","unstructured":"Sta\u0144czyk, U.: Evaluating importance for numbers of bins in discretised learning and test sets. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds.) Intelligent Decision Technologies 2017: Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017) \u2013 Part I, pp. 159\u2013169. Springer International Publishing, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-59421-7_15"},{"issue":"4","key":"17_CR21","first-page":"1","volume":"69","author":"U Sta\u0144czyk","year":"2021","unstructured":"Sta\u0144czyk, U., Zielosko, B.: Data irregularities in discretisation of test sets used for evaluation of classification systems: a case study on authorship attribution. Bull. Polish Acad. Sci. Tech. Sci. 69(4), 1\u201312 (2021)","journal-title":"Bull. Polish Acad. Sci. Tech. Sci."},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"Sta\u0327por, K., Ksieniewicz, P., Garc\u00eda, S., Wo\u017aniak, M.: How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104, 107219 (2021)","DOI":"10.1016\/j.asoc.2021.107219"},{"issue":"1","key":"17_CR23","doi-asserted-by":"publisher","first-page":"77","DOI":"10.3390\/encyclopedia3010006","volume":"3","author":"H Taherdoost","year":"2023","unstructured":"Taherdoost, H., Madanchian, M.: Multi-criteria decision making (MCDM) methods and concepts. Encyclopedia 3(1), 77\u201387 (2023)","journal-title":"Encyclopedia"},{"key":"17_CR24","doi-asserted-by":"crossref","unstructured":"Witten, I., Frank, E., Hall, M.: Data Mining. Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 3rd edn. (2011)","DOI":"10.1016\/B978-0-12-374856-0.00001-8"},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Zhou, Z.H.: Ensemble Methods: Foundations and Algorithms. Chapman & Hall\/CRC (2012)","DOI":"10.1201\/b12207"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-97567-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T05:28:37Z","timestamp":1751520517000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-97567-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031975660","9783031975677"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-97567-7_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"4 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}