{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T15:19:11Z","timestamp":1767453551026,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030501426"},{"type":"electronic","value":"9783030501433"}],"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\/978-3-030-50143-3_5","type":"book-chapter","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T21:03:01Z","timestamp":1591390981000},"page":"53-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Imprecise Classification with Non-parametric Predictive Inference"],"prefix":"10.1007","author":[{"given":"Seraf\u00edn","family":"Moral","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos J.","family":"Mantas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier G.","family":"Castellano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joaqu\u00edn","family":"Abell\u00e1n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,5]]},"reference":[{"issue":"5","key":"5_CR1","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1080\/03081070600687643","volume":"35","author":"J Abell\u00e1n","year":"2006","unstructured":"Abell\u00e1n, J.: Uncertainty measures on probability intervals from the imprecise dirichlet model. Int. J. Gen. Syst. 35(5), 509\u2013528 (2006). \nhttps:\/\/doi.org\/10.1080\/03081070600687643","journal-title":"Int. J. Gen. Syst."},{"issue":"2","key":"5_CR2","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1080\/03081079.2011.607449","volume":"41","author":"J Abell\u00e1n","year":"2012","unstructured":"Abell\u00e1n, J.: Equivalence relations among dominance concepts on probability intervals and general credal sets. Int. J. Gen. Syst. 41(2), 109\u2013122 (2012). \nhttps:\/\/doi.org\/10.1080\/03081079.2011.607449","journal-title":"Int. J. Gen. Syst."},{"issue":"1","key":"5_CR3","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.ejor.2011.01.020","volume":"212","author":"J Abell\u00e1n","year":"2011","unstructured":"Abell\u00e1n, J., Baker, R.M., Coolen, F.P.: Maximising entropy on the nonparametric predictive inference model for multinomial data. Eur. J. Oper. Res. 212(1), 112\u2013122 (2011). \nhttps:\/\/doi.org\/10.1016\/j.ejor.2011.01.020","journal-title":"Eur. J. Oper. Res."},{"issue":"05","key":"5_CR4","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1142\/S0218488512500353","volume":"20","author":"J Abell\u00e1n","year":"2012","unstructured":"Abell\u00e1n, J., Masegosa, A.R.: Imprecise classification with credal decision trees. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 20(05), 763\u2013787 (2012). \nhttps:\/\/doi.org\/10.1142\/S0218488512500353","journal-title":"Int. J. Uncertainty Fuzziness Knowl. Based Syst."},{"issue":"12","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1002\/int.10143","volume":"18","author":"J Abell\u00e1n","year":"2003","unstructured":"Abell\u00e1n, J., Moral, S.: Building classification trees using the total uncertainty criterion. Int. J. Intell. Syst. 18(12), 1215\u20131225 (2003). \nhttps:\/\/doi.org\/10.1002\/int.10143","journal-title":"Int. J. Intell. Syst."},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1016\/j.csda.2013.02.009","volume":"71","author":"J Abell\u00e1n","year":"2014","unstructured":"Abell\u00e1n, J., Baker, R.M., Coolen, F.P., Crossman, R.J., Masegosa, A.R.: Classification with decision trees from a nonparametric predictive inference perspective. Comput. Stat. Data Anal. 71, 789\u2013802 (2014). \nhttps:\/\/doi.org\/10.1016\/j.csda.2013.02.009","journal-title":"Comput. Stat. Data Anal."},{"issue":"3","key":"5_CR7","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s00500-008-0323-y","volume":"13","author":"J Alcal\u00e1-Fdez","year":"2009","unstructured":"Alcal\u00e1-Fdez, J., et al.: KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3), 307\u2013318 (2009). \nhttps:\/\/doi.org\/10.1007\/s00500-008-0323-y","journal-title":"Soft Comput."},{"key":"5_CR8","unstructured":"Coolen, F.P.A.: Learning from multinomial data: a nonparametric predictive alternative to the imprecise dirichlet model. In: Cozman, F.G., Nau, R., Seidenfeld, T. (eds.) ISIPTA 2005: Proceedings of the Fourth International Symposium on Imprecise Probabilities and their Applications, pp. 125\u2013134 (2005). (Published by SIPTA)"},{"issue":"2","key":"5_CR9","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.ijar.2008.03.011","volume":"50","author":"F Coolen","year":"2009","unstructured":"Coolen, F., Augustin, T.: A nonparametric predictive alternative to the imprecise Dirichlet model: The case of a known number of categories. Int. J. Approximate Reasoning 50(2), 217\u2013230 (2009). \nhttps:\/\/doi.org\/10.1016\/j.ijar.2008.03.011\n\n. Special Section on The Imprecise Dirichlet Model and Special Section on Bayesian Robustness (Issues in Imprecise Probability)","journal-title":"Int. J. Approximate Reasoning"},{"key":"5_CR10","first-page":"581","volume":"9","author":"G Corani","year":"2008","unstructured":"Corani, G., Zaffalon, M.: Learning reliable classifiers from small or incomplete data sets: the naive credal classifier 2. J. Mach. Learn. Res. 9, 581\u2013621 (2008)","journal-title":"J. Mach. Learn. Res."},{"issue":"02","key":"5_CR11","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1142\/S0218488594000146","volume":"02","author":"LM De Campos","year":"1994","unstructured":"De Campos, L.M., Huete, J.F., Moral, S.: Probability intervals: a tool for uncertain reasoning. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 02(02), 167\u2013196 (1994). \nhttps:\/\/doi.org\/10.1142\/S0218488594000146","journal-title":"Int. J. Uncertainty Fuzziness Knowl. Based Syst."},{"key":"5_CR12","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"key":"5_CR13","unstructured":"Fayyad, U., Irani, K.: Multi-valued interval discretization of continuous-valued attributes for classification learning. In: Proceeding of the 13th International Joint Conference on Artificial Inteligence, pp. 1022\u20131027. Morgan Kaufmann (1993)"},{"issue":"1","key":"5_CR14","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1214\/aoms\/1177731944","volume":"11","author":"M Friedman","year":"1940","unstructured":"Friedman, M.: A comparison of alternative tests of significance for the problem of $$m$$ rankings. Ann. Math. Stat. 11(1), 86\u201392 (1940). \nhttps:\/\/doi.org\/10.1214\/aoms\/1177731944","journal-title":"Ann. Math. Stat."},{"key":"5_CR15","volume-title":"Construction and Assessment of Classification Rules","author":"DJ Hand","year":"1997","unstructured":"Hand, D.J.: Construction and Assessment of Classification Rules. Wiley, New York (1997)"},{"key":"5_CR16","doi-asserted-by":"publisher","unstructured":"Klir, G.J.: Uncertainty and Information: Foundations of Generalized Information Theory. Wiley (2006). \nhttps:\/\/doi.org\/10.1002\/0471755575","DOI":"10.1002\/0471755575"},{"key":"5_CR17","unstructured":"Lichman, M.: UCI machine learning repository (2013). \nhttp:\/\/archive.ics.uci.edu\/ml"},{"issue":"10","key":"5_CR18","doi-asserted-by":"publisher","first-page":"4625","DOI":"10.1016\/j.eswa.2014.01.017","volume":"41","author":"CJ Mantas","year":"2014","unstructured":"Mantas, C.J., Abell\u00e1n, J.: Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data. Expert Syst. Appl. 41(10), 4625\u20134637 (2014). \nhttps:\/\/doi.org\/10.1016\/j.eswa.2014.01.017","journal-title":"Expert Syst. Appl."},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.eswa.2016.05.035","volume":"61","author":"CJ Mantas","year":"2016","unstructured":"Mantas, C.J., Abell\u00e1n, J., Castellano, J.G.: Analysis of Credal-C4.5 for classification in noisy domains. Expert Syst. Appl. 61, 314\u2013326 (2016). \nhttps:\/\/doi.org\/10.1016\/j.eswa.2016.05.035","journal-title":"Expert Syst. Appl."},{"key":"5_CR20","unstructured":"Nemenyi, P.: Distribution-free multiple comparisons. Doctoral dissertation, Princeton University, New Jersey, USA (1963)"},{"issue":"3","key":"5_CR21","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"CE Shannon","year":"1948","unstructured":"Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379\u2013423 (1948). \nhttps:\/\/doi.org\/10.1002\/j.1538-7305.1948.tb01338.x","journal-title":"Bell Syst. Tech. J."},{"issue":"1","key":"5_CR22","doi-asserted-by":"publisher","first-page":"3","DOI":"10.2307\/2346164","volume":"58","author":"P Walley","year":"1996","unstructured":"Walley, P.: Inferences from multinomial data; learning about a bag of marbles (with discussion). J. Roy. Stat. Soc.: Ser. B (Methodol.) 58(1), 3\u201357 (1996). \nhttps:\/\/doi.org\/10.2307\/2346164","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"key":"5_CR23","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Series in Data Management Systems, 2nd edn. Morgan Kaufmann Publishers Inc., San Francisco (2005)"},{"issue":"1","key":"5_CR24","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0378-3758(01)00201-4","volume":"105","author":"M Zaffalon","year":"2002","unstructured":"Zaffalon, M.: The naive credal classifier. J. Stat. Plann. Infer. 105(1), 5\u201321 (2002). \nhttps:\/\/doi.org\/10.1016\/S0378-3758(01)00201-4\n\n. Imprecise Probability Models and their Applications","journal-title":"J. Stat. Plann. Infer."}],"container-title":["Communications in Computer and Information Science","Information Processing and Management of Uncertainty in Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50143-3_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T23:36:12Z","timestamp":1591400172000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50143-3_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030501426","9783030501433"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50143-3_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMU","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"15 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmu2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmu2020.inesc-id.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"213","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"146","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The IPMU 2020 was held virtually due to the coronavirus pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}