{"id":"https://openalex.org/W2140652427","doi":"https://doi.org/10.1142/s0218488511006952","title":"INCREMENTAL COMPILATION OF BAYESIAN NETWORKS BASED ON MAXIMAL PRIME SUBGRAPHS","display_name":"INCREMENTAL COMPILATION OF BAYESIAN NETWORKS BASED ON MAXIMAL PRIME SUBGRAPHS","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2140652427","doi":"https://doi.org/10.1142/s0218488511006952","mag":"2140652427"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488511006952","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488511006952","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/files/58823674/journal_2011.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069211260","display_name":"M. Julia Flores","orcid":"https://orcid.org/0000-0001-6956-3184"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"M. JULIA FLORES","raw_affiliation_strings":["Computing Systems Department, University of Castilla-La Mancha, Campus Universitario s/n, Albacete, 02071, Spain"],"affiliations":[{"raw_affiliation_string":"Computing Systems Department, University of Castilla-La Mancha, Campus Universitario s/n, Albacete, 02071, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047912788","display_name":"Jos\u00e9 A. G\u00e1mez","orcid":"https://orcid.org/0000-0003-1188-1117"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"JOSE A. G\u00c1MEZ","raw_affiliation_strings":["Computing Systems Department, University of Castilla-La Mancha, Campus Universitario s/n, Albacete, 02071, Spain"],"affiliations":[{"raw_affiliation_string":"Computing Systems Department, University of Castilla-La Mancha, Campus Universitario s/n, Albacete, 02071, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080465910","display_name":"Kristian G. Olesen","orcid":"https://orcid.org/0000-0002-4622-9578"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"KRISTIAN G. OLESEN","raw_affiliation_strings":["Computer Science Deparment, Aalborg University, Selma Lagerl\u00f6fs Vej 300, DK-9220 Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Computer Science Deparment, Aalborg University, Selma Lagerl\u00f6fs Vej 300, DK-9220 Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069211260"],"corresponding_institution_ids":["https://openalex.org/I79189158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.13680086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"19","issue":"02","first_page":"155","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":1.0,"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":1.0,"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/T11106","display_name":"Data Management and Algorithms","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9406999945640564,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7866823673248291},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.722979724407196},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6532057523727417},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6511900424957275},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5157173275947571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4802556335926056},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4698459506034851},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4565936326980591},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4486423432826996},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.445644736289978},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44554391503334045},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.42393213510513306},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41941455006599426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4137202501296997},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3607078194618225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13512194156646729},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07542955875396729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866823673248291},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.722979724407196},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6532057523727417},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6511900424957275},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5157173275947571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4802556335926056},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4698459506034851},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4565936326980591},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4486423432826996},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.445644736289978},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44554391503334045},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.42393213510513306},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41941455006599426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4137202501296997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3607078194618225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13512194156646729},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07542955875396729},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218488511006952","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488511006952","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/d0e7bc13-9a76-4d3e-ac64-982a6ac4c541","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/d0e7bc13-9a76-4d3e-ac64-982a6ac4c541","pdf_url":"https://vbn.aau.dk/files/58823674/journal_2011.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Flores , M J , G\u00e1mez , J A &amp; Olesen , K G 2011 , ' Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs ' , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , vol. 19 , no. 2 , pp. 155-191 . https://doi.org/10.1142/S0218488511006952","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/d0e7bc13-9a76-4d3e-ac64-982a6ac4c541","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/d0e7bc13-9a76-4d3e-ac64-982a6ac4c541","pdf_url":"https://vbn.aau.dk/files/58823674/journal_2011.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Flores , M J , G\u00e1mez , J A &amp; Olesen , K G 2011 , ' Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs ' , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , vol. 19 , no. 2 , pp. 155-191 . https://doi.org/10.1142/S0218488511006952","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2140652427.pdf","grobid_xml":"https://content.openalex.org/works/W2140652427.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W26772505","https://openalex.org/W98939520","https://openalex.org/W111380827","https://openalex.org/W148752063","https://openalex.org/W570386608","https://openalex.org/W1484863582","https://openalex.org/W1504867478","https://openalex.org/W1565079331","https://openalex.org/W1570823407","https://openalex.org/W1593793857","https://openalex.org/W1598097103","https://openalex.org/W1755360231","https://openalex.org/W1977951010","https://openalex.org/W1989308075","https://openalex.org/W1991049699","https://openalex.org/W1991477862","https://openalex.org/W1991755800","https://openalex.org/W2000334459","https://openalex.org/W2012328630","https://openalex.org/W2025285972","https://openalex.org/W2064343909","https://openalex.org/W2078712199","https://openalex.org/W2079796986","https://openalex.org/W2083973047","https://openalex.org/W2101968469","https://openalex.org/W2104610336","https://openalex.org/W2118348286","https://openalex.org/W2123093185","https://openalex.org/W2129033823","https://openalex.org/W2137661795","https://openalex.org/W2147565737","https://openalex.org/W2150344704","https://openalex.org/W2158814117","https://openalex.org/W2159080219","https://openalex.org/W2561675875","https://openalex.org/W2912949946","https://openalex.org/W3105307699","https://openalex.org/W4234055719","https://openalex.org/W4254018622","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2511198839","https://openalex.org/W2372267530","https://openalex.org/W1966557338","https://openalex.org/W2366931106","https://openalex.org/W2969189870"],"abstract_inverted_index":{"When":[0,84],"a":[1,12,23,32,67,79,100,104,142,154,180],"Bayesian":[2,130],"network":[3,101],"(BN)":[4],"is":[5,70,78,126],"modified,":[6],"for":[7,62,145,157,167],"example":[8],"adding":[9],"or":[10,14,91,173],"deleting":[11],"node,":[13],"changing":[15],"the":[16,27,63,87,96,109,135,146,192],"probability":[17,168],"distributions,":[18],"we":[19,85,93,119,139,177],"usually":[20],"will":[21,195],"need":[22],"total":[24],"recompilation":[25,106],"of":[26,65,82,98],"model,":[28,68],"despite":[29],"feeling":[30],"that":[31,182],"partial":[33],"(re)compilation":[34],"could":[35],"have":[36,140,178],"been":[37],"enough.":[38],"Especially":[39],"when":[40],"considering":[41],"dynamic":[42],"models,":[43],"in":[44,71,123,129,148],"which":[45,69],"variables":[46],"are":[47,55],"added":[48],"and":[49,102,175],"removed":[50],"very":[51],"frequently,":[52],"these":[53],"recompilations":[54],"quite":[56],"resource":[57],"consuming.":[58],"But":[59],"even":[60],"further,":[61],"task":[64],"building":[66],"many":[72],"occasions":[73],"an":[74],"iterative":[75],"process,":[76],"there":[77],"clear":[80],"lack":[81],"flexibility.":[83],"use":[86],"term":[88],"Incremental":[89],"Compilation":[90],"IC":[92],"refer":[94],"to":[95,107,121,187],"possibility":[97],"modifying":[99],"avoiding":[103],"complete":[105],"obtain":[108],"new":[110,155],"(and":[111],"different)":[112],"join":[113],"tree":[114],"(JT).":[115],"The":[116],"main":[117],"point":[118],"intend":[120],"study":[122],"this":[124],"work":[125],"JT-based":[127,166],"inference":[128],"networks.":[131],"Apart":[132],"from":[133],"undertaking":[134],"triangulation":[136],"problem":[137],"itself,":[138],"achieved":[141],"great":[143],"improvement":[144],"compilation":[147],"BNs.":[149],"We":[150],"do":[151],"not":[152],"develop":[153],"architecture":[156],"BNs":[158],"inference,":[159],"but":[160],"taking":[161],"some":[162],"already":[163],"existing":[164],"framework":[165],"propagation":[169],"such":[170],"as":[171,191],"Hugin":[172],"Shenoy":[174],"Shafer,":[176],"designed":[179],"method":[181],"can":[183],"be":[184],"successfully":[185],"applied":[186],"get":[188],"better":[189],"performance,":[190],"experimental":[193],"evaluation":[194],"show.":[196]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
