{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T04:11:29Z","timestamp":1748664689562,"version":"3.41.0"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319244884"},{"type":"electronic","value":"9783319244891"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-24489-1_3","type":"book-chapter","created":{"date-parts":[[2015,9,29]],"date-time":"2015-09-29T07:00:40Z","timestamp":1443510040000},"page":"32-44","source":"Crossref","is-referenced-by-count":2,"title":["Oddness-Based Classifiers for Boolean or\u00a0Numerical Data"],"prefix":"10.1007","author":[{"given":"Myriam","family":"Bounhas","sequence":"first","affiliation":[]},{"given":"Henri","family":"Prade","sequence":"additional","affiliation":[]},{"given":"Gilles","family":"Richard","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,3]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Benedetto, D., Caglioti, E., Loreto, V.: Language trees and zipping. Phys. Review Lett. 88(4) (2002)","DOI":"10.1103\/PhysRevLett.88.048702"},{"key":"3_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1007\/978-3-319-11508-5_6","volume-title":"Scalable Uncertainty Management","author":"M Bounhas","year":"2014","unstructured":"Bounhas, M., Prade, H., Richard, G.: Analogical classification: handling numerical data. In: Straccia, U., Cal\u00ec, A. (eds.) SUM 2014. LNCS, vol. 8720, pp. 66\u201379. Springer, Heidelberg (2014)"},{"key":"3_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20807-7_20","volume-title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","author":"M Bounhas","year":"2015","unstructured":"Bounhas, M., Prade, H., Richard, G.: A new view of conformity and its application to classification. In: Destercke, S., Denoeux, T. (eds.) ECSQARU 2015. LNAI, vol. 9161. Springer, Heidelberg (2015)"},{"key":"3_CR4","unstructured":"Bounhas, M., Prade, H., Richard, G.: Analogical classification: a new way to deal with examples. In: ECAI 2014\u201321st European Conference on Artificial Intelligence, 18\u201322 August 2014, Prague, Czech Republic. Frontiers in Artificial Intelligence and Applications, vol. 263, pp. 135\u2013140. IOS Press (2014)"},{"key":"3_CR5","first-page":"1","volume":"7","author":"J Demsar","year":"2006","unstructured":"Demsar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7, 1\u201330 (2006)","journal-title":"Journal of Machine Learning Research"},{"key":"3_CR6","unstructured":"Mertz, J., Murphy, P.: Uci repository of machine learning databases (2000). ftp:\/\/ftp.ics.uci.edu\/pub\/machine-learning-databases"},{"key":"3_CR7","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1613\/jair.2519","volume":"32","author":"L Miclet","year":"2008","unstructured":"Miclet, L., Bayoudh, S., Delhay, A.: Analogical dissimilarity: definition, algorithms and two experiments in machine learning. JAIR 32, 793\u2013824 (2008)","journal-title":"JAIR"},{"issue":"4","key":"3_CR8","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s11787-013-0089-6","volume":"7","author":"H Prade","year":"2013","unstructured":"Prade, H., Richard, G.: From analogical proportion to logical proportions. Logica Universalis 7(4), 441\u2013505 (2013)","journal-title":"Logica Universalis"},{"issue":"1","key":"3_CR9","first-page":"1","volume":"1","author":"H Prade","year":"2014","unstructured":"Prade, H., Richard, G.: Homogenous and heterogeneous logical proportions. IfCoLog J. of Logics and their Applications 1(1), 1\u201351 (2014)","journal-title":"IfCoLog J. of Logics and their Applications"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Sculley, D., Brodley, C.E.: Compression and machine learning: a new perspective on feature space vectors. In: Proc. of the Data Compressing Conference DCC, pp. 332\u2013341. IEEE (2006)","DOI":"10.1109\/DCC.2006.13"},{"key":"3_CR11","unstructured":"Vovk, V., Gammerman, A., Saunders, C.: Machine-learning applications of algorithmic randomness. Int. Conf. on Machine Learning, pp. 444\u2013453 (1999)"}],"container-title":["Lecture Notes in Computer Science","KI 2015: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24489-1_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T21:11:22Z","timestamp":1748639482000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24489-1_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319244884","9783319244891"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24489-1_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}