{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T16:06:46Z","timestamp":1750867606201,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,10]]},"DOI":"10.1109\/dsaa.2015.7344900","type":"proceedings-article","created":{"date-parts":[[2015,12,8]],"date-time":"2015-12-08T22:18:36Z","timestamp":1449613116000},"page":"1-10","source":"Crossref","is-referenced-by-count":15,"title":["Multi-target regression from high-speed data streams with adaptive model rules"],"prefix":"10.1109","author":[{"given":"Joao","family":"Duarte","sequence":"first","affiliation":[]},{"given":"Joao","family":"Gama","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/089976603322385117"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-1121-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1982185.1982402"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1007\/978-3-540-74958-5_61","article-title":"Ensembles of multi-objective decision trees","volume":"4701","author":"kocev","year":"2007","journal-title":"Machine Learning ECML 2007"},{"key":"ref15","first-page":"2367","article-title":"Multi-target regression with rule ensembles","volume":"13","author":"aho","year":"2012","journal-title":"The Journal of Machine Learning Research"},{"article-title":"Algorithms for learning regression trees and ensembles from evolving data stream","year":"2012","author":"ikonomovska","key":"ref16"},{"key":"ref17","article-title":"MORES: online incremental multiple-output regression for data streams","author":"li","year":"2014","journal-title":"CoRR vol abs\/1412 5732"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0201-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1963.10500830"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75197-7"},{"key":"ref27","first-page":"105","article-title":"Online bagging and boosting","author":"oza","year":"2001","journal-title":"Artificial Intelligence and Statistics 2001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.09.023"},{"key":"ref6","first-page":"198","article-title":"Ensembles of adaptive model rules from high-speed data streams","author":"duarte","year":"2014","journal-title":"Journal of Machine Learning Research Workshop and Conference Proceedings Volume 36 Proceedings of the 3rd International Workshop on Big Data Streams and Heterogeneous Source Mining Algorithms Systems Programming Models and Applications"},{"key":"ref5","article-title":"Adaptive model rules from data streams","author":"almeida","year":"2013","journal-title":"ECML 2013 &#x2013; European Conference on Machine Learning"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/3-540-46695-9_1","article-title":"Generating rule sets from model trees","volume":"1747","author":"holmes","year":"1999","journal-title":"Advanced Topics in Artificial Intelligence"},{"key":"ref7","first-page":"125","article-title":"On the quasi-minimal solution of the general covering problem","volume":"a3","author":"michalski","year":"1969","journal-title":"Proceedings of the 5th international Symposium on Information Processing (FCIP-69)"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7443.001.0001","author":"bakir","year":"2007","journal-title":"Predicting Structured Data"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/07-AOAS148"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1201\/EBK1439826119","author":"gama","year":"2010","journal-title":"Knowledge Discovery from Data Streams"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2307\/2333009"},{"key":"ref22","first-page":"1","article-title":"Event labeling combining ensemble detectors and background knowledge","author":"fanaee-t","year":"2013","journal-title":"Progress in Artificial Intelligence"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/03610928708829540"},{"journal-title":"Classification and Regression Trees","year":"1984","author":"breiman","key":"ref24"},{"year":"2003","key":"ref23","article-title":"Eunite competition 2003: Prediction of product quality in glass manufacturing"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5320-9"},{"key":"ref25","article-title":"Multi-label classification methods for multi-target regression","author":"xioufis","year":"2012","journal-title":"CoRR vol abs\/1211 6581"}],"event":{"name":"2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","start":{"date-parts":[[2015,10,19]]},"location":"Campus des Cordeliers, Paris, France","end":{"date-parts":[[2015,10,21]]}},"container-title":["2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7344768\/7344769\/07344900.pdf?arnumber=7344900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T07:45:35Z","timestamp":1567410335000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7344900\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/dsaa.2015.7344900","relation":{},"subject":[],"published":{"date-parts":[[2015,10]]}}}