{"id":"https://openalex.org/W2090347203","doi":"https://doi.org/10.1145/2576868","title":"Discrete Bayesian Network Classifiers","display_name":"Discrete Bayesian Network Classifiers","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2090347203","doi":"https://doi.org/10.1145/2576868","mag":"2090347203"},"language":"en","primary_location":{"id":"doi:10.1145/2576868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576868","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/72762/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010920098","display_name":"Concha Bielza","orcid":"https://orcid.org/0000-0001-7109-2668"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Concha Bielza","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Spain","Universidad Politecnica de Madrid, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Universidad Politecnica de Madrid, Spain#TAB#","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049812833","display_name":"Pedro Larra\u00f1aga","orcid":"https://orcid.org/0000-0003-0652-9872"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Larra\u00f1aga","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Spain","Universidad Politecnica de Madrid, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Universidad Politecnica de Madrid, Spain#TAB#","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":29.2676,"has_fulltext":false,"cited_by_count":244,"citation_normalized_percentile":{"value":0.99638745,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"47","issue":"1","first_page":"1","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9634000062942505,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/markov-blanket","display_name":"Markov blanket","score":0.8322839140892029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7782725095748901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7641456127166748},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7272897362709045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219300866127014},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.7218190431594849},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.6809167265892029},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6443855166435242},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6336684226989746},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5620245933532715},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5334848165512085},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.4489629566669464},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.4271082878112793},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.42305225133895874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3893655836582184},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3093879222869873},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.28824692964553833},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.24486982822418213},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.23794114589691162},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.19075068831443787},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.0921291708946228}],"concepts":[{"id":"https://openalex.org/C123867240","wikidata":"https://www.wikidata.org/wiki/Q3001792","display_name":"Markov blanket","level":5,"score":0.8322839140892029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7782725095748901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7641456127166748},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7272897362709045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219300866127014},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.7218190431594849},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.6809167265892029},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6443855166435242},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6336684226989746},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5620245933532715},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5334848165512085},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.4489629566669464},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.4271082878112793},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42305225133895874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3893655836582184},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3093879222869873},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.28824692964553833},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.24486982822418213},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.23794114589691162},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.19075068831443787},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.0921291708946228}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2576868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576868","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},{"id":"pmh:oai:oa.upm.es:72762","is_oa":true,"landing_page_url":"https://oa.upm.es/72762/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Computing Surveys, ISSN 1557-7341, 2014-07, Vol. 47, No. 1","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:oa.upm.es:72762","is_oa":true,"landing_page_url":"https://oa.upm.es/72762/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Computing Surveys, ISSN 1557-7341, 2014-07, Vol. 47, No. 1","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":196,"referenced_works":["https://openalex.org/W13749590","https://openalex.org/W14420165","https://openalex.org/W50014760","https://openalex.org/W67881473","https://openalex.org/W83514471","https://openalex.org/W111281073","https://openalex.org/W146841731","https://openalex.org/W149574399","https://openalex.org/W157873616","https://openalex.org/W168332103","https://openalex.org/W203696055","https://openalex.org/W608314793","https://openalex.org/W628282490","https://openalex.org/W1482876487","https://openalex.org/W1483090808","https://openalex.org/W1484010841","https://openalex.org/W1485398918","https://openalex.org/W1487306946","https://openalex.org/W1495061682","https://openalex.org/W1495360667","https://openalex.org/W1500856388","https://openalex.org/W1501858372","https://openalex.org/W1504213991","https://openalex.org/W1514470448","https://openalex.org/W1522114398","https://openalex.org/W1523680690","https://openalex.org/W1524326598","https://openalex.org/W1537644368","https://openalex.org/W1539323528","https://openalex.org/W1544742357","https://openalex.org/W1547246444","https://openalex.org/W1549887922","https://openalex.org/W1550825417","https://openalex.org/W1551066950","https://openalex.org/W1554663460","https://openalex.org/W1556871283","https://openalex.org/W1558666744","https://openalex.org/W1559060276","https://openalex.org/W1563899709","https://openalex.org/W1565694568","https://openalex.org/W1567176649","https://openalex.org/W1567662521","https://openalex.org/W1568555062","https://openalex.org/W1570286060","https://openalex.org/W1571206585","https://openalex.org/W1576938036","https://openalex.org/W1588833628","https://openalex.org/W1590398161","https://openalex.org/W1594885191","https://openalex.org/W1599183102","https://openalex.org/W1602011971","https://openalex.org/W1626295059","https://openalex.org/W1646807883","https://openalex.org/W1705405826","https://openalex.org/W1720834577","https://openalex.org/W1801413419","https://openalex.org/W1817561967","https://openalex.org/W1829941956","https://openalex.org/W1849729440","https://openalex.org/W1853307972","https://openalex.org/W1906182963","https://openalex.org/W1947292668","https://openalex.org/W1965680834","https://openalex.org/W1971315776","https://openalex.org/W1971765619","https://openalex.org/W1973058695","https://openalex.org/W1973683489","https://openalex.org/W1973706250","https://openalex.org/W1976080216","https://openalex.org/W1976611840","https://openalex.org/W1977100389","https://openalex.org/W1978090079","https://openalex.org/W1982254517","https://openalex.org/W1986610361","https://openalex.org/W1989494851","https://openalex.org/W1989766901","https://openalex.org/W1994234501","https://openalex.org/W1998167395","https://openalex.org/W2002374079","https://openalex.org/W2005861721","https://openalex.org/W2008906462","https://openalex.org/W2011107254","https://openalex.org/W2013374740","https://openalex.org/W2013734290","https://openalex.org/W2017337590","https://openalex.org/W2019439081","https://openalex.org/W2022577571","https://openalex.org/W2023003462","https://openalex.org/W2031357797","https://openalex.org/W2031490401","https://openalex.org/W2031779765","https://openalex.org/W2032026767","https://openalex.org/W2032343403","https://openalex.org/W2035440445","https://openalex.org/W2035539597","https://openalex.org/W2041425534","https://openalex.org/W2042379175","https://openalex.org/W2045031658","https://openalex.org/W2048817927","https://openalex.org/W2049633694","https://openalex.org/W2050442480","https://openalex.org/W2055823751","https://openalex.org/W2071458777","https://openalex.org/W2082729696","https://openalex.org/W2084224084","https://openalex.org/W2086147528","https://openalex.org/W2090670174","https://openalex.org/W2091299760","https://openalex.org/W2091425332","https://openalex.org/W2095235480","https://openalex.org/W2096222410","https://openalex.org/W2096701432","https://openalex.org/W2098671713","https://openalex.org/W2099900459","https://openalex.org/W2099992083","https://openalex.org/W2101782549","https://openalex.org/W2104859946","https://openalex.org/W2110032746","https://openalex.org/W2111574971","https://openalex.org/W2112953696","https://openalex.org/W2113461044","https://openalex.org/W2113772173","https://openalex.org/W2115699935","https://openalex.org/W2119381450","https://openalex.org/W2119387367","https://openalex.org/W2121273346","https://openalex.org/W2121360488","https://openalex.org/W2122701761","https://openalex.org/W2126061911","https://openalex.org/W2126099446","https://openalex.org/W2126439990","https://openalex.org/W2127824649","https://openalex.org/W2129564794","https://openalex.org/W2130416704","https://openalex.org/W2130444032","https://openalex.org/W2132545397","https://openalex.org/W2133091666","https://openalex.org/W2133990480","https://openalex.org/W2137587467","https://openalex.org/W2139940584","https://openalex.org/W2140785063","https://openalex.org/W2141680114","https://openalex.org/W2147654806","https://openalex.org/W2148510909","https://openalex.org/W2154463444","https://openalex.org/W2154468968","https://openalex.org/W2154560317","https://openalex.org/W2156640661","https://openalex.org/W2157429192","https://openalex.org/W2158773875","https://openalex.org/W2159080219","https://openalex.org/W2161205483","https://openalex.org/W2161272368","https://openalex.org/W2161642932","https://openalex.org/W2163166770","https://openalex.org/W2163614729","https://openalex.org/W2169392521","https://openalex.org/W2169561303","https://openalex.org/W2170112109","https://openalex.org/W2170666417","https://openalex.org/W2171665309","https://openalex.org/W2171849160","https://openalex.org/W2172238468","https://openalex.org/W2185494298","https://openalex.org/W2211621381","https://openalex.org/W2318405211","https://openalex.org/W2489861820","https://openalex.org/W2560674852","https://openalex.org/W2561675875","https://openalex.org/W2591957553","https://openalex.org/W2608239929","https://openalex.org/W2616376319","https://openalex.org/W2624403129","https://openalex.org/W2796765386","https://openalex.org/W2799061466","https://openalex.org/W2887002214","https://openalex.org/W2903296288","https://openalex.org/W2911666059","https://openalex.org/W2911709584","https://openalex.org/W2963251648","https://openalex.org/W2963331194","https://openalex.org/W2963716487","https://openalex.org/W2964009222","https://openalex.org/W2964075712","https://openalex.org/W2978329087","https://openalex.org/W3017236344","https://openalex.org/W3120740533","https://openalex.org/W3125561743","https://openalex.org/W3136726919","https://openalex.org/W4206775476","https://openalex.org/W4245055982","https://openalex.org/W4245672031","https://openalex.org/W4249840851","https://openalex.org/W4256306241","https://openalex.org/W6603500982","https://openalex.org/W6608280181"],"related_works":["https://openalex.org/W112862482","https://openalex.org/W2123587139","https://openalex.org/W2090347203","https://openalex.org/W1537644368","https://openalex.org/W3214042144","https://openalex.org/W4225603608","https://openalex.org/W2604705913","https://openalex.org/W561902361","https://openalex.org/W2279953498","https://openalex.org/W2142596017"],"abstract_inverted_index":{"We":[0],"have":[1,32],"had":[2],"to":[3,24,39,75],"wait":[4],"over":[5],"30":[6],"years":[7],"since":[8],"the":[9,19,66],"naive":[10,84,87,100],"Bayes":[11],"model":[12,36],"was":[13],"first":[14],"introduced":[15],"in":[16,58,78],"1960":[17],"for":[18,50],"so-called":[20],"Bayesian":[21,28,71,92,96,98,104,107,110],"network":[22,72],"classifiers":[23,31,73],"resurge.":[25],"Based":[26],"on":[27],"networks,":[29],"these":[30],"many":[33],"strengths,":[34],"like":[35],"interpretability,":[37],"accommodation":[38],"complex":[40],"data":[41],"and":[42,52,55,109,117,119,122],"classification":[43,53],"problem":[44],"settings,":[45],"existence":[46],"of":[47,69,81,113],"efficient":[48],"algorithms":[49],"learning":[51,124],"tasks,":[54],"successful":[56],"applicability":[57],"real-world":[59],"problems.":[60],"In":[61],"this":[62],"article,":[63],"we":[64],"survey":[65],"whole":[67],"set":[68],"discrete":[70],"devised":[74],"date,":[76],"organized":[77],"increasing":[79],"order":[80],"structure":[82,121],"complexity:":[83],"Bayes,":[85,88,90,101],"selective":[86],"seminaive":[89],"one-dependence":[91],"classifiers,":[93,97,108],"k":[94],"-dependence":[95],"network-augmented":[99],"Markov":[102],"blanket-based":[103],"classifier,":[105],"unrestricted":[106],"multinets.":[111],"Issues":[112],"feature":[114],"subset":[115],"selection":[116],"generative":[118],"discriminative":[120],"parameter":[123],"are":[125],"also":[126],"covered.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":8}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}