{"id":"https://openalex.org/W3204373030","doi":"https://doi.org/10.1145/3471287.3471308","title":"Predicting Water Quality Parameters in Lake Pontchartrain using Machine Learning","display_name":"Predicting Water Quality Parameters in Lake Pontchartrain using Machine Learning","publication_year":2021,"publication_date":"2021-05-27","ids":{"openalex":"https://openalex.org/W3204373030","doi":"https://doi.org/10.1145/3471287.3471308","mag":"3204373030"},"language":"en","primary_location":{"id":"doi:10.1145/3471287.3471308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471287.3471308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 the 5th International Conference on Information System and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075269421","display_name":"Alexis Daniels","orcid":null},"institutions":[{"id":"https://openalex.org/I197173980","display_name":"Southeastern Louisiana University","ror":"https://ror.org/0531xck41","country_code":"US","type":"education","lineage":["https://openalex.org/I197173980","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexis Daniels","raw_affiliation_strings":["Southeastern Louisiana University,United States, United States"],"affiliations":[{"raw_affiliation_string":"Southeastern Louisiana University,United States, United States","institution_ids":["https://openalex.org/I197173980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085848799","display_name":"Cris Koutsougeras","orcid":null},"institutions":[{"id":"https://openalex.org/I197173980","display_name":"Southeastern Louisiana University","ror":"https://ror.org/0531xck41","country_code":"US","type":"education","lineage":["https://openalex.org/I197173980","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cris Koutsougeras","raw_affiliation_strings":["Southeastern Louisiana University,United States, United States"],"affiliations":[{"raw_affiliation_string":"Southeastern Louisiana University,United States, United States","institution_ids":["https://openalex.org/I197173980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075269421"],"corresponding_institution_ids":["https://openalex.org/I197173980"],"apc_list":null,"apc_paid":null,"fwci":0.1658,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51800221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9035999774932861,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9035999774932861,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.751320481300354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7112327218055725},{"id":"https://openalex.org/keywords/water-quality","display_name":"Water quality","score":0.6584638357162476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.58739173412323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5836495161056519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5512774586677551},{"id":"https://openalex.org/keywords/salinity","display_name":"Salinity","score":0.5414000749588013},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5232745409011841},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4792037904262543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37448394298553467},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10449448227882385},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0996919572353363},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.0709351897239685}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.751320481300354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7112327218055725},{"id":"https://openalex.org/C2780797713","wikidata":"https://www.wikidata.org/wiki/Q625376","display_name":"Water quality","level":2,"score":0.6584638357162476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.58739173412323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5836495161056519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512774586677551},{"id":"https://openalex.org/C129513315","wikidata":"https://www.wikidata.org/wiki/Q179615","display_name":"Salinity","level":2,"score":0.5414000749588013},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5232745409011841},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4792037904262543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37448394298553467},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10449448227882385},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0996919572353363},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0709351897239685},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3471287.3471308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471287.3471308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 the 5th International Conference on Information System and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W40889284","https://openalex.org/W2157636216","https://openalex.org/W2342603028","https://openalex.org/W2782982918","https://openalex.org/W2901312569","https://openalex.org/W2964520230","https://openalex.org/W3119724025"],"related_works":["https://openalex.org/W1977713103","https://openalex.org/W2384871955","https://openalex.org/W2357588518","https://openalex.org/W2349398824","https://openalex.org/W2380100146","https://openalex.org/W2370303970","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W3036095178","https://openalex.org/W4366979180"],"abstract_inverted_index":{"This":[0,74],"work":[1,18],"is":[2],"about":[3],"the":[4,12,26,48,52,59,139,143,153],"use":[5,21],"of":[6,14,29,61,69,142],"machine":[7,22],"learning":[8,23],"methods":[9,77],"to":[10,20,24,47,50,78,104,151],"improve":[11],"monitoring":[13,42],"water":[15,53,72,80,84,111],"quality.":[16,73],"The":[17,124],"aims":[19],"predict":[25,79,152],"normal":[27],"values":[28,154],"a":[30,63,146,156],"quality":[31,81,112],"indicator":[32],"(pH,":[33],"salinity,":[34,118],"etc.).":[35],"Upon":[36],"significant":[37],"deviation":[38,141],"from":[39,86],"actual":[40],"measurements,":[41],"scientists":[43],"would":[44],"be":[45],"alerted":[46],"need":[49],"inspect":[51],"way":[54],"more":[55],"closely":[56],"thereby":[57],"reducing":[58],"possibility":[60],"missing":[62],"problem":[64],"and":[65,96,121,127],"speeding":[66],"up":[67],"determinations":[68],"issues":[70],"regarding":[71],"study":[75],"compares":[76],"parameters":[82,113],"using":[83],"data":[85],"Lake":[87],"Pontchartrain":[88],"in":[89],"Southeast":[90],"Louisiana.":[91],"K-Nearest":[92],"neighbors,":[93],"decision":[94,125],"trees,":[95],"an":[97],"artificial":[98],"neural":[99,147],"network":[100,148],"have":[101],"been":[102],"used":[103],"determine":[105],"which":[106,134],"method":[107],"most":[108],"accurately":[109],"predicted":[110],"such":[114],"as":[115],"pH,":[116],"temperature,":[117],"specific":[119],"conductance,":[120],"dissolved":[122],"oxygen.":[123],"tree":[126],"k-nearest":[128],"neighbors":[129],"algorithms":[130],"produced":[131],"similar":[132],"results":[133],"were":[135],"only":[136],"slightly":[137],"below":[138],"standard":[140],"data.":[144],"However,":[145],"was":[149],"able":[150],"with":[155],"much":[157],"higher":[158],"accuracy.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}