{"id":"https://openalex.org/W1522114398","doi":"https://doi.org/10.1007/3-540-45153-6_14","title":"Learning Bayesian Belief Network Classifiers: Algorithms and System","display_name":"Learning Bayesian Belief Network Classifiers: Algorithms and System","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1522114398","doi":"https://doi.org/10.1007/3-540-45153-6_14","mag":"1522114398"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45153-6_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45153-6_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5069518751","display_name":"Jie Cheng","orcid":"https://orcid.org/0000-0002-0838-0090"},"institutions":[{"id":"https://openalex.org/I4210120376","display_name":"Canadian Imperial Bank of Commerce (Canada)","ror":"https://ror.org/02r0ks990","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210120376"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jie Cheng","raw_affiliation_strings":["Global Analytics, Canadian Imperial Bank of Commerce, Toronto, Ontario, Canada, M5J 2S8"],"affiliations":[{"raw_affiliation_string":"Global Analytics, Canadian Imperial Bank of Commerce, Toronto, Ontario, Canada, M5J 2S8","institution_ids":["https://openalex.org/I4210120376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027200864","display_name":"Russell Greiner","orcid":"https://orcid.org/0000-0001-8327-934X"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Russell Greiner","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, T6G 2H1"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, T6G 2H1","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069518751"],"corresponding_institution_ids":["https://openalex.org/I4210120376"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.5533,"has_fulltext":false,"cited_by_count":289,"citation_normalized_percentile":{"value":0.96269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"151"},"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":0.9492999911308289,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9351999759674072,"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/overfitting","display_name":"Overfitting","score":0.829520583152771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7990505695343018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7836511135101318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7827304601669312},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.611988365650177},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5643803477287292},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.49721768498420715},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48719853162765503},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4478312134742737},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44471973180770874},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.43463611602783203},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.397538423538208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.326421320438385},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.31853049993515015},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.2830665111541748}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.829520583152771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990505695343018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7836511135101318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7827304601669312},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.611988365650177},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5643803477287292},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.49721768498420715},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48719853162765503},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4478312134742737},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44471973180770874},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.43463611602783203},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.397538423538208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.326421320438385},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.31853049993515015},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2830665111541748},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/3-540-45153-6_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45153-6_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.20.8952","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.8952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ualberta.ca/~greiner/PAPERS/cheng-CSCSI01.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.21.2699","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ualberta.ca/~jcheng/Doc/cscsi.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.36.1381","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ualberta.ca/~jcheng/Doc/report00.pdf","raw_type":"text"}],"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/W98473318","https://openalex.org/W626750718","https://openalex.org/W1524326598","https://openalex.org/W1528489993","https://openalex.org/W1605844890","https://openalex.org/W1625504505","https://openalex.org/W1817561967","https://openalex.org/W1906182963","https://openalex.org/W1930566185","https://openalex.org/W1980452149","https://openalex.org/W1994853484","https://openalex.org/W2008906462","https://openalex.org/W2017337590","https://openalex.org/W2101782549","https://openalex.org/W2123865363","https://openalex.org/W2157815868","https://openalex.org/W2159080219","https://openalex.org/W2163166770","https://openalex.org/W2170653744","https://openalex.org/W2963331194","https://openalex.org/W3017143921","https://openalex.org/W3020913839","https://openalex.org/W3112020351","https://openalex.org/W4236354166","https://openalex.org/W6631581452","https://openalex.org/W6636455871","https://openalex.org/W6636859864","https://openalex.org/W6640453930","https://openalex.org/W6640538227","https://openalex.org/W6776565550"],"related_works":["https://openalex.org/W4309448762","https://openalex.org/W4211221765","https://openalex.org/W1700460858","https://openalex.org/W643788828","https://openalex.org/W2383034311","https://openalex.org/W2120658990","https://openalex.org/W2364194352","https://openalex.org/W2010729982","https://openalex.org/W4213076191","https://openalex.org/W2294009918"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":19},{"year":2012,"cited_by_count":20}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}