{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:20:23Z","timestamp":1730280023311,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/iwssip48289.2020.9145420","type":"proceedings-article","created":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T21:18:40Z","timestamp":1595366320000},"page":"299-304","source":"Crossref","is-referenced-by-count":1,"title":["An Exploratory Study Using Stream Learning Algorithms to Predict Duration Time of Vehicle Routes"],"prefix":"10.1109","author":[{"given":"Angelica","family":"de Sousa Pinto","sequence":"first","affiliation":[]},{"given":"Flavia","family":"Bernardini","sequence":"additional","affiliation":[]},{"given":"Leandro","family":"Miranda","sequence":"additional","affiliation":[]},{"given":"Jose","family":"Viterbo","sequence":"additional","affiliation":[]},{"given":"Edwin Mitacc","family":"Meza","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/10654.001.0001","author":"bifet","year":"2018","journal-title":"Machine Learning for Data Streams with Practical Examples in MOA"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956813"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956821"},{"key":"ref15","article-title":"Test of page-hinckley, an approach for fault detection in an agro-alimentary production system","author":"mouss","year":"0","journal-title":"2004 5th Asian Control Conf"},{"journal-title":"Neural Networks and Learning Machines","year":"2009","author":"haykin","key":"ref16"},{"key":"ref17","first-page":"69","article-title":"A guide to appropriate use of correlation coefficient in medical research","volume":"24","author":"mukaka","year":"2012","journal-title":"The Journal of Medical Association of Malawi"},{"key":"ref18","first-page":"1601","article-title":"Moa: Massive online analysis","volume":"11","author":"bifet","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/DSDIS.2015.96"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2015.07.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.11.028"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94989-5"},{"journal-title":"Data Mining Practical Machine Learning Tools and Techniques","year":"2011","author":"witten","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2016.10.055"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/19439962.2014.977502"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.10.028"},{"key":"ref1","article-title":"Cellular automata for traffic simulation -nagel-schreckenberg model","author":"held","year":"2011","journal-title":"Tech Rep"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/widm.8"}],"event":{"name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","start":{"date-parts":[[2020,7,1]]},"location":"Niter\u00f3i, Brazil","end":{"date-parts":[[2020,7,3]]}},"container-title":["2020 International Conference on Systems, Signals and Image Processing (IWSSIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9138148\/9145030\/09145420.pdf?arnumber=9145420","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:53:08Z","timestamp":1656453188000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9145420\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/iwssip48289.2020.9145420","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}