{"id":"https://openalex.org/W4312385127","doi":"https://doi.org/10.1109/access.2022.3229128","title":"A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint","display_name":"A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312385127","doi":"https://doi.org/10.1109/access.2022.3229128"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3229128","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3229128","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09984163.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09984163.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100449226","display_name":"Haoran Liu","orcid":"https://orcid.org/0000-0002-3074-1147"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Liu","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072440854","display_name":"Shaopeng Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaopeng Cui","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359839","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0003-1205-8632"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091324094","display_name":"Niantai Wang","orcid":"https://orcid.org/0000-0002-4250-9361"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niantai Wang","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044712848","display_name":"Qianrui Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianrui Shi","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102546822","display_name":"Yanbin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Cai","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101859634","display_name":"Liyue Zhang","orcid":"https://orcid.org/0009-0005-5871-182X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyue Zhang","raw_affiliation_strings":["Information Science and Engineering Department, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Department, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109807398","display_name":"Dayan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayan Liu","raw_affiliation_strings":["School of Electrical Engineering, Yanshan University, Qinhuangdao, China","School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5549,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7308349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"130719","last_page":"130732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.911899983882904,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7911789417266846},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.6839837431907654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744287610054016},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.6375862956047058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5554031729698181},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4868320822715759},{"id":"https://openalex.org/keywords/bayesian-average","display_name":"Bayesian average","score":0.4780481457710266},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.47266992926597595},{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.434265673160553},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42405977845191956},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41407352685928345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4086124897003174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36427080631256104},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.2884279489517212},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.17075324058532715}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7911789417266846},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.6839837431907654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744287610054016},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.6375862956047058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5554031729698181},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4868320822715759},{"id":"https://openalex.org/C149569020","wikidata":"https://www.wikidata.org/wiki/Q25098598","display_name":"Bayesian average","level":5,"score":0.4780481457710266},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.47266992926597595},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.434265673160553},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42405977845191956},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41407352685928345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4086124897003174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36427080631256104},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2884279489517212},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.17075324058532715},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3229128","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3229128","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09984163.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:59fe5434331f4be19b394c7215499871","is_oa":true,"landing_page_url":"https://doaj.org/article/59fe5434331f4be19b394c7215499871","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,"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":"IEEE Access, Vol 10, Pp 130719-130732 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3229128","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3229128","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09984163.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4902877447","display_name":null,"funder_award_id":"2019YFB1707301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312385127.pdf","grobid_xml":"https://content.openalex.org/works/W4312385127.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1970687027","https://openalex.org/W1971648331","https://openalex.org/W2080722576","https://openalex.org/W2127234432","https://openalex.org/W2165190832","https://openalex.org/W2165700458","https://openalex.org/W2930250387","https://openalex.org/W2949364942","https://openalex.org/W3015121100","https://openalex.org/W3138964215","https://openalex.org/W3148146901","https://openalex.org/W3172927853","https://openalex.org/W3197634744","https://openalex.org/W3208951696","https://openalex.org/W4205420394","https://openalex.org/W4207004001","https://openalex.org/W4210475468","https://openalex.org/W4225133103","https://openalex.org/W4248624814","https://openalex.org/W4281631600","https://openalex.org/W6638350355","https://openalex.org/W6807101984"],"related_works":["https://openalex.org/W1964038743","https://openalex.org/W3020174049","https://openalex.org/W4361250843","https://openalex.org/W2579850834","https://openalex.org/W3032224306","https://openalex.org/W4312385127","https://openalex.org/W2379077901","https://openalex.org/W2570816834","https://openalex.org/W2305032489","https://openalex.org/W2169561303"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,8,41,51,60,64,71,80,89,94,101,111,120,146,149,161,164,172],"problem":[3],"of":[4,7,43,53,145,163],"low":[5],"efficiency":[6],"existing":[9],"hill-climbing":[10,103],"algorithm":[11,25,34,177],"in":[12,46,128,151],"Bayesian":[13,21,47,66,91,113,140,173,190],"network":[14,22,67,92,114,141,174,191],"structure":[15,23,68,142,175,192],"learning,":[16],"this":[17,129,152],"paper":[18,130,153],"proposes":[19],"a":[20,36,76,155],"learning":[24,143,176,193],"based":[26,49,178],"on":[27,50,84,179],"probabilistic":[28,180],"incremental":[29,181],"analysis":[30,182],"and":[31,69,97,105,124,183,188],"constraints.":[32],"The":[33,167],"constructs":[35],"suitable":[37],"measure":[38,123],"for":[39,79],"representing":[40],"degree":[42,122],"node":[44],"association":[45],"networks":[48],"principle":[52],"random":[54],"forest":[55],"feature":[56],"extraction;":[57],"then":[58],"uses":[59],"method":[61,108,150],"to":[62,109],"construct":[63],"initial":[65,90],"constrains":[70],"search":[72,104],"space":[73],"by":[74,100],"setting":[75],"corresponding":[77],"threshold":[78],"probability":[81],"increment":[82],"centered":[83],"each":[85],"node;":[86],"finally":[87],"takes":[88],"as":[93],"starting":[95],"point":[96],"learns":[98],"it":[99],"forbidden":[102],"BIC":[106],"scoring":[107],"obtain":[110],"optimal":[112],"structure.":[115],"Experimental":[116],"results":[117,169],"show":[118,170],"that":[119,171],"correlation":[121,134],"mutual":[125],"information":[126],"proposed":[127],"have":[131],"an":[132,186],"approximate":[133],"expression":[135],"effect;":[136],"compared":[137],"with":[138],"other":[139],"algorithms":[144],"same":[147],"type,":[148],"has":[154],"faster":[156],"operation":[157],"speed":[158],"while":[159],"ensuring":[160],"quality":[162],"learned":[165],"network.":[166],"experimental":[168],"constraints":[184],"is":[185],"effective":[187],"efficient":[189],"algorithm.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
