{"id":"https://openalex.org/W4396931152","doi":"https://doi.org/10.1051/matecconf/202439501046","title":"Research on linear regression algorithm","display_name":"Research on linear regression algorithm","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396931152","doi":"https://doi.org/10.1051/matecconf/202439501046"},"language":"en","primary_location":{"id":"doi:10.1051/matecconf/202439501046","doi":"https://doi.org/10.1051/matecconf/202439501046","is_oa":true,"landing_page_url":"https://doi.org/10.1051/matecconf/202439501046","pdf_url":null,"source":{"id":"https://openalex.org/S4210175061","display_name":"MATEC Web of Conferences","issn_l":"2261-236X","issn":["2261-236X","2274-7214"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MATEC Web of Conferences","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1051/matecconf/202439501046","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048476941","display_name":"Kecheng Qu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kecheng Qu","raw_affiliation_strings":["Shandong Xiehe University, 250100, JiNan, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Xiehe University, 250100, JiNan, Shandong, China","institution_ids":["https://openalex.org/I4210103733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048476941"],"corresponding_institution_ids":["https://openalex.org/I4210103733"],"apc_list":null,"apc_paid":null,"fwci":43.745,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.99945415,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"395","issue":null,"first_page":"01046","last_page":"01046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.050200000405311584,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0019000000320374966,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-regression","display_name":"linear regression","score":1.0},{"id":"https://openalex.org/keywords/simple-linear-regression","display_name":"simple linear regression","score":0.7480000257492065},{"id":"https://openalex.org/keywords/multiple-linear-regression","display_name":"multiple linear regression","score":1.0},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.9980000257492065},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.7829999923706055},{"id":"https://openalex.org/keywords/model-assumptions","display_name":"model assumptions","score":0.7059999704360962},{"id":"https://openalex.org/keywords/model-selection","display_name":"model selection","score":0.6959999799728394},{"id":"https://openalex.org/keywords/model-diagnostics","display_name":"model diagnostics","score":0.7149999737739563},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.8100000023841858}],"concepts":[{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.5516246557235718},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5448706746101379},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47808074951171875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44901415705680847},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4276996850967407},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.3784337639808655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37495338916778564},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28304523229599}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1051/matecconf/202439501046","doi":"https://doi.org/10.1051/matecconf/202439501046","is_oa":true,"landing_page_url":"https://doi.org/10.1051/matecconf/202439501046","pdf_url":null,"source":{"id":"https://openalex.org/S4210175061","display_name":"MATEC Web of Conferences","issn_l":"2261-236X","issn":["2261-236X","2274-7214"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MATEC Web of Conferences","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/matecconf/202439501046","doi":null,"is_oa":true,"landing_page_url":"https://www.matec-conferences.org/10.1051/matecconf/202439501046/pdf","pdf_url":"https://www.matec-conferences.org/10.1051/matecconf/202439501046/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/matecconf/202439501046","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:21fed0208c0e434d877c966c2eac39b6","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/21fed0208c0e434d877c966c2eac39b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MATEC Web of Conferences, Vol 395, p 01046 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1051/matecconf/202439501046","doi":"https://doi.org/10.1051/matecconf/202439501046","is_oa":true,"landing_page_url":"https://doi.org/10.1051/matecconf/202439501046","pdf_url":null,"source":{"id":"https://openalex.org/S4210175061","display_name":"MATEC Web of Conferences","issn_l":"2261-236X","issn":["2261-236X","2274-7214"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MATEC Web of Conferences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396931152.pdf","grobid_xml":"https://content.openalex.org/works/W4396931152.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W1995775640","https://openalex.org/W2037936013","https://openalex.org/W2047028564"],"related_works":["https://openalex.org/W7172001555","https://openalex.org/W4411470049","https://openalex.org/W7166820485","https://openalex.org/W7219353794","https://openalex.org/W4413453941","https://openalex.org/W7116780194","https://openalex.org/W7146985066","https://openalex.org/W3118299338","https://openalex.org/W33785091","https://openalex.org/W4236964444"],"abstract_inverted_index":{"Linear":[0],"regression":[1,31,85,97],"is":[2],"one":[3],"of":[4,29,45,64,83,106],"the":[5,22,40,58,61,102],"most":[6],"widely":[7],"used":[8],"predictive":[9],"models":[10],"in":[11,33,53],"statistics":[12],"and":[13,27,43,48,74,77,88,98,101],"machine":[14],"learning.":[15],"This":[16],"paper":[17,38,59],"aims":[18],"to":[19],"comprehensively":[20],"discuss":[21],"theoretical":[23],"basis,":[24],"mathematical":[25],"principle":[26],"application":[28,104],"linear":[30,46,65,84,93,96],"algorithm":[32],"various":[34],"fields.":[35],"Firstly,":[36],"this":[37],"introduces":[39],"research":[41],"background":[42],"significance":[44],"regression,":[47,66,94,100],"summarizes":[49],"its":[50,68],"important":[51],"role":[52],"modern":[54],"data":[55],"analysis.":[56],"Then,":[57],"elaborates":[60],"basic":[62],"theory":[63],"including":[67],"definition,":[69],"assumptions,":[70],"parameter":[71],"estimation":[72],"methods":[73],"model":[75],"diagnosis":[76],"selection.":[78],"In":[79],"addition,":[80],"different":[81],"types":[82],"are":[86,109],"classified":[87],"discussed,":[89],"such":[90],"as":[91],"simple":[92],"multiple":[95],"logistic":[99],"specific":[103],"scenarios":[105],"each":[107],"type":[108],"analyzed.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-05-16T00:00:00"}