{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T04:40:16Z","timestamp":1778560816135,"version":"3.51.4"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100002383","name":"King Saud University, Riyadh, Saudi Arabia","doi-asserted-by":"publisher","award":["RSP2022R444"],"award-info":[{"award-number":["RSP2022R444"]}],"id":[{"id":"10.13039\/501100002383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3221430","type":"journal-article","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T20:31:53Z","timestamp":1668112313000},"page":"119692-119705","source":"Crossref","is-referenced-by-count":63,"title":["Water Quality Management Using Hybrid Machine Learning and Data Mining Algorithms: An Indexing Approach"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7308-5285","authenticated-orcid":false,"given":"Bilal","family":"Aslam","sequence":"first","affiliation":[{"name":"School of Informatics, Computing, Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3745-516X","authenticated-orcid":false,"given":"Ahsen","family":"Maqsoom","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, COMSATS University Islamabad, Wah Cantt, Islamabad, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6931-9023","authenticated-orcid":false,"given":"Ali Hassan","family":"Cheema","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, COMSATS University Islamabad, Wah Cantt, Islamabad, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6221-1175","authenticated-orcid":false,"given":"Fahim","family":"Ullah","sequence":"additional","affiliation":[{"name":"School of Surveying and Built Environment, University of Southern Queensland, Springfield Central, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8617-1430","authenticated-orcid":false,"given":"Abdullah","family":"Alharbi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6946-2591","authenticated-orcid":false,"given":"Muhammad","family":"Imran","sequence":"additional","affiliation":[{"name":"Institute of Innovation, Science and Sustainability, Federation University, Brisbane, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.08.100"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.08.035"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.3390\/app8122540"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s10064-019-01538-7"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2021.1993633"},{"key":"ref74","first-page":"550","article-title":"Intrusion detection system on a computer network using an ensemble of randomizable filtered classifier, K-nearest neighbor algorithm","volume":"2","author":"asaju","year":"2017","journal-title":"FUW Trends in Science and Technology Journal"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1039\/c2em30676j"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi9050332"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2005.02.004"},{"key":"ref79","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-2872-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/w9020105"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-0029-9_27"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2166\/wcc.2019.295"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s40808-021-01226-0"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2012.05.031"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-09700-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1134\/S0097807819010056"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-019-09461-0"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.08.011"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-015-9268-x"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-019-09510-8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/atmos11050508"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-019-09471-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-019-09470-z"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s11053-018-9425-0"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSCE.2012.6487177"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s00704-019-02905-w"},{"key":"ref67","first-page":"1613","article-title":"Efficient decision tree algorithm using J48 and reduced error pruning","volume":"3","author":"kapoor","year":"2015","journal-title":"Int Journal of Engineering Research and General Science"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-60327-101-1_2"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-415766-8.00004-5"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/app112110034"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2018.10.015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/gwat.12963"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.105041"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s13762-019-02344-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2019.03.073"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/10106049.2018.1489422"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2166\/hydro.2019.037"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2017.03.061"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2016.03.001"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref58","article-title":"Rapidly-exploring random trees: A new tool for path planning","author":"lavalle","year":"1998"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1214\/aop\/1176989404"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511662980.003"},{"key":"ref55","first-page":"343","article-title":"Learning with continuous classes","volume":"92","author":"quinlan","year":"1992","journal-title":"Proc 5th Austral Joint Conf Artif Intell"},{"key":"ref54","article-title":"Induction of model trees for predicting continuous classes","author":"wang","year":"1996"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2161634"},{"key":"ref52","first-page":"11","article-title":"Application of MLP neural network and M5P model tree in predicting streamflow: A case study of Luvuvhu catchment, South Africa","volume":"4","author":"onyari","year":"2013","journal-title":"Journal of technology management & innovation"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-019-06105-x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s13201-011-0011-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s12040-018-1047-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.137612"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-018-1915-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/w11061305"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/15715124.2019.1628030"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1901\/jaba.1985.18-343"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-021-00592-x"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1901\/jaba.1998.31-593"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/19942060.2018.1528480"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-014-3806-7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/19942060.2020.1712260"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/SCORED.2002.1033081"},{"key":"ref19","article-title":"A survey on river water quality modelling using artificial intelligence models: 2000–2020","volume":"585","author":"tung","year":"2020","journal-title":"J Hydrol"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-809633-8.02380-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph15050895"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2404-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.envint.2019.105078"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.13031\/2013.23153"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10661-019-7978-y"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.aqpro.2015.02.139"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12351-015-0178-9"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10706-017-0177-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2016.09.082"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-021-09859-0"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5334\/jors.108"},{"key":"ref48","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref47","first-page":"238","article-title":"Surface roughness prediction using ANFIS and validation with advanced regression algorithms","author":"kumar","year":"2020","journal-title":"Proc Int Conf Intell Fuzzy Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s22093107"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00477-016-1338-z"},{"key":"ref44","article-title":"A transformer based approach for fighting COVID-19 fake news","author":"shifath","year":"2021","journal-title":"arXiv 2101 12027"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.envpol.2019.02.011"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09945948.pdf?arnumber=9945948","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T20:01:16Z","timestamp":1670875276000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9945948\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":86,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3221430","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}