{"id":"https://openalex.org/W4393854723","doi":"https://doi.org/10.1007/s10489-023-05153-8","title":"Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score","display_name":"Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4393854723","doi":"https://doi.org/10.1007/s10489-023-05153-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-05153-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-05153-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05153-8.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05153-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046217354","display_name":"Rafael Rodrigues Mendes Ribeiro","orcid":"https://orcid.org/0000-0002-9616-2738"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rafael Rodrigues\u00a0Mendes\u00a0Ribeiro","raw_affiliation_strings":["Department of Electrical and Computing Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9616-2738","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computing Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032899247","display_name":"Jord\u00e3o Natal","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jord\u00e3o Natal","raw_affiliation_strings":["Department of Electrical and Computing Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computing Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004994425","display_name":"Cassio P. de Campos","orcid":"https://orcid.org/0000-0001-9130-1287"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cassio Polpo\u00a0de\u00a0Campos","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, North Brabant, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, North Brabant, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020973468","display_name":"Carlos Dias Maciel","orcid":"https://orcid.org/0000-0003-0137-6678"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos Dias\u00a0Maciel","raw_affiliation_strings":["Department of Electrical and Computing Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computing Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046217354"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.8881,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87128185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"54","issue":"6","first_page":"4668","last_page":"4688"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9298999905586243,"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/bayesian-probability","display_name":"Bayesian probability","score":0.6190694570541382},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5147266387939453},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4799228310585022},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47090840339660645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44970202445983887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40903982520103455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34924745559692383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3244180679321289}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6190694570541382},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5147266387939453},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4799228310585022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47090840339660645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44970202445983887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40903982520103455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34924745559692383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3244180679321289},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10489-023-05153-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-05153-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05153-8.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:publications/0084ad1a-c253-4f4a-8ca2-a7100c1da7ba","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/0084ad1a-c253-4f4a-8ca2-a7100c1da7ba","pdf_url":"https://pure.tue.nl/ws/files/352898050/s10489-023-05153-8.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rodrigues\u00a0Mendes\u00a0Ribeiro, R, Natal, J, de\u00a0Campos, C P & Dias\u00a0Maciel, C 2024, 'Conditional probability table limit-based quantization for Bayesian networks : model quality, data fidelity and structure score', Applied Intelligence, vol. 54, no. 6, pp. 4668-4688. https://doi.org/10.1007/s10489-023-05153-8","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:openaire/0084ad1a-c253-4f4a-8ca2-a7100c1da7ba","is_oa":true,"landing_page_url":"https://research.tue.nl/files/352898050/s10489-023-05153-8.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rodrigues\u00a0Mendes\u00a0Ribeiro, R, Natal, J, de\u00a0Campos, C P & Dias\u00a0Maciel, C 2024, 'Conditional probability table limit-based quantization for Bayesian networks : model quality, data fidelity and structure score', Applied Intelligence, vol. 54, no. 6, pp. 4668-4688. https://doi.org/10.1007/s10489-023-05153-8","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s10489-023-05153-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-05153-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05153-8.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6438247056","display_name":null,"funder_award_id":"2021/","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G7867047663","display_name":null,"funder_award_id":"2018/23139-8","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G8477070895","display_name":null,"funder_award_id":"2021/09396-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393854723.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W67418649","https://openalex.org/W1524326598","https://openalex.org/W1968565040","https://openalex.org/W2019854259","https://openalex.org/W2132115288","https://openalex.org/W2278224395","https://openalex.org/W2290777368","https://openalex.org/W2478884216","https://openalex.org/W2549473102","https://openalex.org/W2781518033","https://openalex.org/W2794650578","https://openalex.org/W2883939481","https://openalex.org/W2888705210","https://openalex.org/W2964209429","https://openalex.org/W2974856897","https://openalex.org/W2991211569","https://openalex.org/W3045764542","https://openalex.org/W3152978515","https://openalex.org/W4282924406","https://openalex.org/W4283156943","https://openalex.org/W4291033595","https://openalex.org/W4300082144","https://openalex.org/W4311419992","https://openalex.org/W4312204072","https://openalex.org/W4312267373","https://openalex.org/W4313729819","https://openalex.org/W4316127741","https://openalex.org/W4318055095","https://openalex.org/W4318191636"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W1919390113","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2231829109","https://openalex.org/W2916591301"],"abstract_inverted_index":{"Abstract":[0],"Bayesian":[1],"Networks":[2],"(BN)":[3],"are":[4,34],"robust":[5],"probabilistic":[6],"graphical":[7],"models":[8],"mainly":[9],"used":[10,302],"with":[11,155],"discrete":[12,153],"random":[13],"variables":[14,154,159],"requiring":[15],"discretization":[16],"and":[17,30,32,38,66,93,111,120,139,142,160,189,208,225,244,266,279,293,301],"quantization":[18,36,54,104,126,172,294],"of":[19,91,103,184,191,201,246,257,281],"continuous":[20,158,162],"data.":[21,163],"Quantization":[22],"is":[23,80,254],"known":[24,174],"to":[25,57,83,136,170,197,215,232,271],"affect":[26],"model":[27,62,262],"accuracy,":[28],"speed":[29],"interpretability,":[31],"there":[33],"various":[35],"methods":[37,295],"performance":[39],"comparisons":[40],"proposed":[41],"in":[42,134,195,241,269,276],"literature.":[43],"Therefore,":[44],"this":[45,179],"paper":[46],"introduces":[47],"a":[48,99,101,112,222,259],"novel":[49],"approach":[50],"called":[51],"CPT":[52,71],"limit-based":[53],"(CLBQ)":[55],"aimed":[56],"address":[58],"the":[59,78,85,88,131,143,182,187,199,217,235,242,277],"trade-off":[60],"among":[61],"quality,":[63,263],"data":[64,264],"fidelity":[65,265],"structure":[67,89,118,140,193,219,248,267,283,291],"score.":[68],"CLBQ":[69,167,185,253],"sets":[70],"size":[72],"limitation":[73],"based":[74],"on":[75,228],"how":[76],"large":[77],"dataset":[79,206],"so":[81,230],"as":[82,152,175,231],"optimize":[84],"balance":[86,137,260],"between":[87,261],"score":[90,119,190,245,280],"BNs":[92,227],"mean":[94,121],"squared":[95,122],"error.":[96],"For":[97],"such":[98,151],"purpose,":[100],"range":[102],"values":[105],"for":[106,186],"each":[107],"variable":[108],"was":[109,115,128,146,168,213],"evaluated":[110],"Pareto":[113,132],"set":[114,133],"designed":[116],"considering":[117],"error":[123],"(MSE).":[124],"A":[125],"value":[127],"selected":[129],"from":[130],"order":[135],"MSE":[138],"score,":[141,268],"method\u2019s":[144],"effectiveness":[145],"tested":[147],"using":[148],"different":[149,290],"datasets,":[150],"added":[156],"noise,":[157],"real":[161],"In":[164],"all":[165,305],"tests,":[166],"compared":[169],"another":[171],"method":[173],"Dynamic":[176],"Discretization.":[177],"Moreover,":[178],"study":[180],"assesses":[181],"suitability":[183],"search":[188,243,278],"BN":[192,202,247,282],"learning,":[194,284],"addition":[196,270],"examining":[198],"landscape":[200,223],"structures":[203],"while":[204],"varying":[205],"sizes":[207],"confirming":[209],"its":[210,273,299],"consistency.":[211],"It":[212],"sought":[214],"find":[216],"expected":[218,236],"location":[220],"through":[221,296],"analysis":[224],"optimal":[226],"it":[229],"confirm":[233],"whether":[234],"results":[237],"were":[238],"actually":[239],"achieved":[240],"learning.":[249],"Results":[250],"demonstrate":[251],"that":[252],"quite":[255],"capable":[256],"striking":[258],"evidencing":[272],"potential":[274],"application":[275],"thus":[285],"further":[286],"research":[287],"should":[288],"explore":[289],"scores":[292],"CLBQ.":[297],"Furthermore,":[298],"code":[300],"datasets":[303],"have":[304],"been":[306],"made":[307],"available.":[308]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2024-04-04T00:00:00"}
