{"id":"https://openalex.org/W3147063032","doi":"https://doi.org/10.1155/2021/5577167","title":"Online English Teaching Course Score Analysis Based on Decision Tree Mining Algorithm","display_name":"Online English Teaching Course Score Analysis Based on Decision Tree Mining Algorithm","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3147063032","doi":"https://doi.org/10.1155/2021/5577167","mag":"3147063032"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5577167","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5577167","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/5577167.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/5577167.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101896308","display_name":"Xiaojun Jiang","orcid":"https://orcid.org/0000-0003-4989-6090"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Jiang","raw_affiliation_strings":["School of Translation Studies, Xi'an Fanyi University, Xi'an, Shaanxi 710105, China","School of Translation Studies, Xi'an Fanyi University, Xi'an, Shaanxi 710105"],"affiliations":[{"raw_affiliation_string":"School of Translation Studies, Xi'an Fanyi University, Xi'an, Shaanxi 710105, China","institution_ids":["https://openalex.org/I180632629"]},{"raw_affiliation_string":"School of Translation Studies, Xi'an Fanyi University, Xi'an, Shaanxi 710105","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101896308"],"corresponding_institution_ids":["https://openalex.org/I180632629"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.9588,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88387413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7921527624130249},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.7192405462265015},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5441864132881165},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5251595377922058},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.5103375315666199},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4776933491230011},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4745248854160309},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4662308692932129},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4577151834964752},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45556047558784485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4196781516075134},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.41269612312316895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4040531516075134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37343013286590576},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3646087646484375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10089623928070068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921527624130249},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.7192405462265015},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5441864132881165},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5251595377922058},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5103375315666199},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4776933491230011},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4745248854160309},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4662308692932129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4577151834964752},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45556047558784485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4196781516075134},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.41269612312316895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4040531516075134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37343013286590576},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3646087646484375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10089623928070068},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/5577167","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5577167","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/5577167.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:5577167","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/5577167.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:9b992efeefe642dc947607f3e9ac7dc9","is_oa":true,"landing_page_url":"https://doaj.org/article/9b992efeefe642dc947607f3e9ac7dc9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5577167","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5577167","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/5577167.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3147063032.pdf","grobid_xml":"https://content.openalex.org/works/W3147063032.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2517850251","https://openalex.org/W2569349941","https://openalex.org/W2606436201","https://openalex.org/W2611984779","https://openalex.org/W2615770924","https://openalex.org/W2617503162","https://openalex.org/W2620887944","https://openalex.org/W2747902582","https://openalex.org/W2773197356","https://openalex.org/W2817736394","https://openalex.org/W2883988631","https://openalex.org/W2897757649","https://openalex.org/W2937780158","https://openalex.org/W2964398153","https://openalex.org/W2971009936","https://openalex.org/W2999615587","https://openalex.org/W3013509910","https://openalex.org/W3019634047","https://openalex.org/W3022172829","https://openalex.org/W3036366327","https://openalex.org/W3092547783","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2386723501","https://openalex.org/W2387879414","https://openalex.org/W2390304029","https://openalex.org/W2354923724","https://openalex.org/W2146830340","https://openalex.org/W4288601434","https://openalex.org/W2377101853","https://openalex.org/W2362180844","https://openalex.org/W2378405797","https://openalex.org/W2913869602"],"abstract_inverted_index":{"With":[0],"the":[1,4,16,38,42,47,52,93,116,168,184,209,212,234,237,240],"advent":[2],"of":[3,19,25,83,118,123,172,188,211,239],"Big":[5],"Data":[6],"era,":[7],"information":[8,20,48,141],"and":[9,44,57,67,87,97,99,110,150,153,202,208,246],"data":[10,33,43,69,86,90,94,194,224],"are":[11,70,244,249],"growing":[12,71],"in":[13,22,51,59,236],"spurts,":[14],"fueling":[15],"deep":[17],"application":[18,238],"technology":[21,35],"all":[23],"levels":[24],"society.":[26],"It":[27,219],"is":[28,205,216],"especially":[29],"important":[30],"to":[31,36,45,63,91,104,135,158,175,182,230],"use":[32,82,100,167],"mining":[34],"study":[37],"industry":[39],"trends":[40],"behind":[41],"explore":[46],"value":[49],"contained":[50],"massive":[53],"data.":[54],"As":[55],"teaching":[56,108,111,119,144],"learning":[58],"higher":[60],"education":[61],"continue":[62],"advance,":[64],"student":[65,84,132],"academic":[66,85],"administrative":[68],"at":[72],"a":[73,124,177,222],"rapid":[74],"pace.":[75],"In":[76,163],"this":[77,164],"paper,":[78,165],"we":[79,166],"make":[80],"full":[81],"campus":[88],"behavior":[89],"analyze":[92],"inherent":[95],"patterns":[96,102],"correlations":[98],"these":[101],"rationally":[103],"provide":[105,138,155,221],"guidance":[106],"for":[107,142,227],"activities":[109],"management,":[112],"thus":[113,154],"further":[114],"improving":[115],"quality":[117],"management.":[120],"The":[121,193],"establishment":[122],"data\u2010mining\u2010technology\u2010based":[125],"college":[126,143,228],"repetition":[127,161],"warning":[128,140],"system":[129],"can":[130,220],"help":[131,157],"management":[133,145],"departments":[134],"strengthen":[136],"supervision,":[137],"timely":[139],"as":[146,148],"well":[147],"leaders":[149],"counselors\u2019":[151],"decision\u2010making,":[152],"early":[156],"students":[159],"with":[160],"warnings.":[162],"global":[169],"search":[170],"advantage":[171],"genetic":[173],"algorithm":[174,213],"build":[176],"GABP":[178],"hybrid":[179],"prediction":[180,214,242],"model":[181,243],"solve":[183],"local":[185],"minimum":[186],"problem":[187],"BP":[189],"neural":[190],"network":[191],"algorithm.":[192],"validation":[195],"results":[196,215],"show":[197],"that":[198],"Recall":[199],"reaches":[200],"95%":[201],"F1":[203],"result":[204],"about":[206],"86%,":[207],"accuracy":[210],"improved":[217],"significantly.":[218],"solid":[223],"support":[225],"basis":[226],"administrators":[229],"predict":[231],"retention.":[232],"Finally,":[233],"problems":[235],"retention":[241],"analyzed":[245],"corresponding":[247],"suggestions":[248],"given.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}