{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T00:13:04Z","timestamp":1769559184167,"version":"3.49.0"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2017,10,1]],"date-time":"2017-10-01T00:00:00Z","timestamp":1506816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Spanish National Research Project","award":["TIN2014-57251-P"],"award-info":[{"award-number":["TIN2014-57251-P"]}]},{"name":"Spanish National Research Project","award":["TIN2016-81113-R"],"award-info":[{"award-number":["TIN2016-81113-R"]}]},{"name":"Andalusian Research Plan","award":["P11-TIC-7765"],"award-info":[{"award-number":["P11-TIC-7765"]}]},{"name":"Andalusian Research Plan","award":["P12-TIC-2958"],"award-info":[{"award-number":["P12-TIC-2958"]}]},{"name":"FPU Scholarship from the Spanish Ministry of Education and Science","award":["FPU13\/00047"],"award-info":[{"award-number":["FPU13\/00047"]}]},{"name":"Polish National Science Center","award":["DEC-2013\/09\/B\/ST6\/02264"],"award-info":[{"award-number":["DEC-2013\/09\/B\/ST6\/02264"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Syst. Man Cybern, Syst."],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/tsmc.2017.2700889","type":"journal-article","created":{"date-parts":[[2017,7,26]],"date-time":"2017-07-26T18:47:57Z","timestamp":1501094877000},"page":"2727-2739","source":"Crossref","is-referenced-by-count":70,"title":["Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark"],"prefix":"10.1109","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4804-5884","authenticated-orcid":false,"given":"Sergio","family":"Ramirez-Gallego","sequence":"first","affiliation":[]},{"given":"Bartosz","family":"Krawczyk","sequence":"additional","affiliation":[]},{"given":"Salvador","family":"Garcia","sequence":"additional","affiliation":[]},{"given":"Michal","family":"Wozniak","sequence":"additional","affiliation":[]},{"given":"Jose Manuel","family":"Benitez","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Herrera","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2012.08.001"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0345-5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1198\/1061860032544"},{"key":"ref31","first-page":"313","article-title":"Batch-incremental versus instance-incremental learning in dynamic and evolving data","author":"read","year":"2012","journal-title":"Proc 11th Int Symp Adv Intell Data Anal (IDA)"},{"key":"ref30","first-page":"1","article-title":"Data stream mining with multiple sliding windows for continuous prediction","author":"mimran","year":"2014","journal-title":"Proc 22nd Eur Conf Inf Syst (ECIS 2014)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.33"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0340-z"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502529"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"1901","DOI":"10.1109\/TNN.2011.2171713","article-title":"Incremental learning from stream data","volume":"22","author":"he","year":"2011","journal-title":"IEEE Trans Neural Netw"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2391098"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2013.2252895"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"337","DOI":"10.3233\/IDA-140645","article-title":"Detecting concept drift: An information entropy based method using an adaptive sliding window","volume":"18","author":"du","year":"2014","journal-title":"Intell Data Anal"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1201\/EBK1439826119","author":"gama","year":"2010","journal-title":"Knowledge Discovery from Data Streams"},{"key":"ref1","author":"mayer-sch\u00f6nberger","year":"2013","journal-title":"Big Data A Revolution That Will Transform How We Live Work and Think"},{"key":"ref20","first-page":"1235","article-title":"Mllib: Machine learning in apache spark","volume":"17","author":"meng","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/widm.52"},{"key":"ref21","author":"spark","year":"2017","journal-title":"Machine Learning library (MLlib) in Spark"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783372"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.078"},{"key":"ref50","author":"bifet","year":"2011","journal-title":"Data Stream Mining A Practical Approach"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-016-0094-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2053-3"},{"key":"ref11","author":"aggarwal","year":"2015","journal-title":"Data Mining The Textbook"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.1201\/9781420089653","author":"wu","year":"2009","journal-title":"The Top Ten Algorithms in Data Mining"},{"key":"ref12","author":"garc\u00eda","year":"2014","journal-title":"Data Preprocessing in Data Mining"},{"key":"ref13","author":"samet","year":"2005","journal-title":"Foundations of Multidimensional and Metric Data Structures"},{"key":"ref14","first-page":"518","article-title":"Similarity search in high dimensions via hashing","author":"gionis","year":"1999","journal-title":"Proc 13th Int Conf Very Large Data Bases (VLDB)"},{"key":"ref15","author":"white","year":"2012","journal-title":"Hadoop The Definitive Guide"},{"key":"ref16","year":"2017","journal-title":"Apache Hadoop"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2015.2464787"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2015.2437327"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1089\/big.2012.1501"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.109"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-015-0675-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1134"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/545151.545174"},{"key":"ref8","author":"karau","year":"2015","journal-title":"Learning Spark Lightning-Fast Big Data Analysis"},{"key":"ref7","first-page":"137","article-title":"Mapreduce: Simplified data processing on large clusters","author":"dean","year":"2004","journal-title":"Proc OSDI"},{"key":"ref49","author":"bache","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref9","year":"2017","journal-title":"Apache SPARK"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2402.322386"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(97)00035-4"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-015-9331-2"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.02.001"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2007.18"},{"key":"ref41","first-page":"825","article-title":"An investigation of practical approximate nearest neighbor algorithms","author":"liu","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.06.012"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824126"}],"container-title":["IEEE Transactions on Systems, Man, and Cybernetics: Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221021\/8038140\/07993020.pdf?arnumber=7993020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:04:52Z","timestamp":1642003492000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7993020\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":51,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tsmc.2017.2700889","relation":{},"ISSN":["2168-2216","2168-2232"],"issn-type":[{"value":"2168-2216","type":"print"},{"value":"2168-2232","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10]]}}}