{"id":"https://openalex.org/W1990361999","doi":"https://doi.org/10.1109/tcyb.2015.2388791","title":"A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks","display_name":"A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks","publication_year":2015,"publication_date":"2015-01-22","ids":{"openalex":"https://openalex.org/W1990361999","doi":"https://doi.org/10.1109/tcyb.2015.2388791","mag":"1990361999","pmid":"https://pubmed.ncbi.nlm.nih.gov/25622335"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2015.2388791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2015.2388791","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5041269918","display_name":"Kun Yue","orcid":"https://orcid.org/0000-0003-3641-1461"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Yue","raw_affiliation_strings":["Department of Computer Science and Engineering, Yunnan University, Kunming, China","Department of Computer Science and EngineeringSchool of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-3641-1461","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Department of Computer Science and EngineeringSchool of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019268423","display_name":"Qiyu Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyu Fang","raw_affiliation_strings":["Department of Computer Science and Engineering, Yunnan University, Kunming, China","Department of Computer Science and EngineeringSchool of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Department of Computer Science and EngineeringSchool of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344628","display_name":"Xiaoling Wang","orcid":"https://orcid.org/0000-0002-4594-6946"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Wang","raw_affiliation_strings":["Institute of Massive Computing, East China Normal University, Shanghai, China","[Institute of Massive Computing, East China Normal University, Shanghai, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Massive Computing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"[Institute of Massive Computing, East China Normal University, Shanghai, China]","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364802","display_name":"Jin Li","orcid":"https://orcid.org/0000-0002-6131-456X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Department of Software Engineering, Yunnan University, Kunming, China","Department of Software EngineeringSchool of Software, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Department of Software EngineeringSchool of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100768142","display_name":"Weiyi Liu","orcid":"https://orcid.org/0000-0003-4180-4489"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyi Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Yunnan University, Kunming, China","Department of Computer Science and EngineeringSchool of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Department of Computer Science and EngineeringSchool of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041269918"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":11.1283,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.98309677,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"45","issue":"12","first_page":"2890","last_page":"2904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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":0.9998999834060669,"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/T11719","display_name":"Data Quality and Management","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9072999954223633,"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":0.7905561923980713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6138866543769836},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6137091517448425},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6035939455032349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5467416644096375},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5173192024230957},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.477030485868454},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.41243240237236023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38990718126296997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7905561923980713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6138866543769836},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6137091517448425},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6035939455032349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5467416644096375},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5173192024230957},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.477030485868454},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.41243240237236023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38990718126296997},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2015.2388791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2015.2388791","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:25622335","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25622335","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2296735123","display_name":null,"funder_award_id":"61163003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8716897940","display_name":null,"funder_award_id":"61472345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W13303319","https://openalex.org/W104215361","https://openalex.org/W162754550","https://openalex.org/W1516134969","https://openalex.org/W1517993545","https://openalex.org/W1528090720","https://openalex.org/W1537267443","https://openalex.org/W1561713986","https://openalex.org/W1595251712","https://openalex.org/W1598064945","https://openalex.org/W1722352548","https://openalex.org/W1769824028","https://openalex.org/W1929141233","https://openalex.org/W1975036395","https://openalex.org/W1984638510","https://openalex.org/W2008906462","https://openalex.org/W2039742447","https://openalex.org/W2040685025","https://openalex.org/W2051109346","https://openalex.org/W2078109946","https://openalex.org/W2096544401","https://openalex.org/W2098112997","https://openalex.org/W2111963637","https://openalex.org/W2112395999","https://openalex.org/W2121142115","https://openalex.org/W2122410182","https://openalex.org/W2125816831","https://openalex.org/W2127625042","https://openalex.org/W2129178015","https://openalex.org/W2150319187","https://openalex.org/W2157355837","https://openalex.org/W2159080219","https://openalex.org/W2165190832","https://openalex.org/W2170112109","https://openalex.org/W2173213060","https://openalex.org/W2249676289","https://openalex.org/W2963191005","https://openalex.org/W4236354166","https://openalex.org/W4240190281","https://openalex.org/W6604188284","https://openalex.org/W6606558858","https://openalex.org/W6628914810","https://openalex.org/W6630938791","https://openalex.org/W6637593493","https://openalex.org/W6640469472","https://openalex.org/W7073565744"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W2113265763","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W1554198325"],"abstract_inverted_index":{"Bayesian":[0],"network":[1],"(BN)":[2],"has":[3],"been":[4],"adopted":[5],"as":[6,105,147,149],"the":[7,17,50,89,101,106,111,117,123,133,138,144,163,167,172,179,182,191,203],"underlying":[8],"model":[9,126],"for":[10,53,75,115,136,151,196],"representing":[11],"and":[12,40,72,83,92,95,109,121,188,206],"inferring":[13],"uncertain":[14],"knowledge.":[15],"As":[16],"basis":[18],"of":[19,35,78,162,166,174,181,208],"realistic":[20],"applications":[21],"centered":[22],"on":[23],"probabilistic":[24],"inferences,":[25],"learning":[26,54,77],"a":[27,32,70,153],"BN":[28,154,184],"from":[29,80,127],"data":[30,42,86],"is":[31,46],"critical":[33],"subject":[34],"machine":[36],"learning,":[37],"artificial":[38],"intelligence,":[39],"big":[41],"paradigms.":[43],"Currently,":[44],"it":[45],"necessary":[47],"to":[48,58,142,177],"extend":[49],"classical":[51,90,139],"methods":[52],"BNs":[55,79,197],"with":[56,185],"respect":[57],"data-intensive":[59,76],"computing":[60,116],"or":[61],"in":[62,160],"cloud":[63],"environments.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,99,131,170],"propose":[69,190],"parallel":[71],"incremental":[73,198],"approach":[74],"massive,":[81],"distributed,":[82],"dynamically":[84],"changing":[85,168],"by":[87,155],"extending":[88,137],"scoring":[91,107,122],"search":[93],"algorithm":[94,141],"using":[96],"MapReduce.":[97],"First,":[98],"adopt":[100],"minimum":[102],"description":[103],"length":[104],"metric":[108],"give":[110,132,171],"two-pass":[112,193],"MapReduce-based":[113,194],"algorithms":[114,195],"required":[118],"marginal":[119],"probabilities":[120],"candidate":[124],"graphical":[125],"sample":[128],"data.":[129],"Then,":[130],"corresponding":[134,192],"strategy":[135],"hill-climbing":[140],"obtain":[143],"optimal":[145],"structure,":[146],"well":[148],"that":[150],"storing":[152],"<key,":[156],"value>":[157],"pairs.":[158],"Further,":[159],"view":[161],"dynamic":[164],"characteristics":[165],"data,":[169,187],"concept":[173],"influence":[175],"degree":[176],"measure":[178],"coincidence":[180],"current":[183],"new":[186],"then":[189],"learning.":[199],"Experimental":[200],"results":[201],"show":[202],"efficiency,":[204],"scalability,":[205],"effectiveness":[207],"our":[209],"methods.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}