{"id":"https://openalex.org/W2547255543","doi":"https://doi.org/10.1109/iske.2010.5680848","title":"New algorithm for constructing Bayesian network structures from data","display_name":"New algorithm for constructing Bayesian network structures from data","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2547255543","doi":"https://doi.org/10.1109/iske.2010.5680848","mag":"2547255543"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2010.5680848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2010.5680848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","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/A5110463961","display_name":"Xiaoli Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-Li Gao","raw_affiliation_strings":["Department of Science, XiDian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Science, XiDian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056451035","display_name":"Bing\u2010Han Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Han Li","raw_affiliation_strings":["Department of Science, XiDian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Science, XiDian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045137489","display_name":"Sanyang Liu","orcid":"https://orcid.org/0000-0002-3625-3398"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"San-Yang Liu","raw_affiliation_strings":["Department of Science, XiDian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Science, XiDian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110463961"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35383204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"360","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9977999925613403,"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":0.9977999925613403,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9836000204086304,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9706000089645386,"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/bayesian-network","display_name":"Bayesian network","score":0.7894458770751953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6810170412063599},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.6108618378639221},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.5794578194618225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5281800031661987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4980320930480957},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.488235741853714},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4837817847728729},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4706750810146332},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4398695230484009},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4390120804309845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4277683198451996},{"id":"https://openalex.org/keywords/bayesian-average","display_name":"Bayesian average","score":0.42208027839660645},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.4219379127025604},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4018326699733734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.373928964138031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22413507103919983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09931659698486328}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7894458770751953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810170412063599},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.6108618378639221},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.5794578194618225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5281800031661987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4980320930480957},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.488235741853714},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4837817847728729},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4706750810146332},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4398695230484009},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4390120804309845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4277683198451996},{"id":"https://openalex.org/C149569020","wikidata":"https://www.wikidata.org/wiki/Q25098598","display_name":"Bayesian average","level":5,"score":0.42208027839660645},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.4219379127025604},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4018326699733734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.373928964138031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22413507103919983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09931659698486328},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2010.5680848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2010.5680848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W57653554","https://openalex.org/W1500567887","https://openalex.org/W1587150650","https://openalex.org/W1590398161","https://openalex.org/W1822300807","https://openalex.org/W1964765306","https://openalex.org/W1978118491","https://openalex.org/W2034647518","https://openalex.org/W2080828514","https://openalex.org/W2114307208","https://openalex.org/W2115746342","https://openalex.org/W2129118887","https://openalex.org/W2134266056","https://openalex.org/W2137651144","https://openalex.org/W2138949234","https://openalex.org/W2159985326","https://openalex.org/W2401630906","https://openalex.org/W2443417601","https://openalex.org/W2796976177","https://openalex.org/W2798333393","https://openalex.org/W3149407881","https://openalex.org/W4245808720","https://openalex.org/W4285719527","https://openalex.org/W6602405636","https://openalex.org/W6630228087","https://openalex.org/W6634970726","https://openalex.org/W6635147717","https://openalex.org/W6636726260","https://openalex.org/W6638557351","https://openalex.org/W6680484008"],"related_works":["https://openalex.org/W3020174049","https://openalex.org/W4214872087","https://openalex.org/W2579850834","https://openalex.org/W4328114192","https://openalex.org/W4225603608","https://openalex.org/W3214042144","https://openalex.org/W2161970884","https://openalex.org/W2116786770","https://openalex.org/W568881065","https://openalex.org/W561902361"],"abstract_inverted_index":{"Bayesian":[0,31,58,87],"network":[1,6,32,59,88],"is":[2,13,36,51],"an":[3],"uncertainty":[4],"inference":[5],"based":[7],"on":[8],"probability.":[9],"Its":[10],"structure":[11,67],"learning":[12],"one":[14],"of":[15,23,56,71,86],"the":[16,21,41,54,66,80,84],"main":[17],"research":[18],"techniques":[19],"in":[20],"field":[22],"data":[24,35,72],"mining":[25],"and":[26,44,61],"knowledge":[27],"discovering,":[28],"while":[29],"constructing":[30],"structures":[33,89],"from":[34],"NP":[37],"hard.":[38],"According":[39],"to":[40],"information":[42],"theory":[43],"conditional":[45],"independence":[46],"test,":[47],"a":[48],"new":[49,81],"algorithm":[50],"presented":[52],"for":[53],"construction":[55],"optimal":[57],"structure,":[60],"numerical":[62],"experiments":[63],"show":[64],"that":[65],"with":[68],"highest":[69],"degree":[70],"matching":[73],"can":[74],"be":[75],"much":[76],"faster":[77],"determined":[78],"by":[79],"algorithm,":[82],"thus":[83],"study":[85],"becomes":[90],"more":[91],"efficient.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}