{"id":"https://openalex.org/W2151050394","doi":"https://doi.org/10.1109/icsmc.2009.5346198","title":"A SMILE web-based interface for learning the causal structure and performing a diagnosis of a Bayesian network","display_name":"A SMILE web-based interface for learning the causal structure and performing a diagnosis of a Bayesian network","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2151050394","doi":"https://doi.org/10.1109/icsmc.2009.5346198","mag":"2151050394"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5044316233","display_name":"Nipat Jongsawat","orcid":"https://orcid.org/0000-0002-3351-453X"},"institutions":[{"id":"https://openalex.org/I114432228","display_name":"Siam University","ror":"https://ror.org/04j3saz95","country_code":"TH","type":"education","lineage":["https://openalex.org/I114432228"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nipat Jongsawat","raw_affiliation_strings":["Graduate School of Information Technology in Business, Siam University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Technology in Business, Siam University, Bangkok, Thailand","institution_ids":["https://openalex.org/I114432228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112268303","display_name":"Wichian Premchaiswadi","orcid":null},"institutions":[{"id":"https://openalex.org/I114432228","display_name":"Siam University","ror":"https://ror.org/04j3saz95","country_code":"TH","type":"education","lineage":["https://openalex.org/I114432228"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Wichian Premchaiswadi","raw_affiliation_strings":["Graduate School of Information Technology in Business, Siam University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Technology in Business, Siam University, Bangkok, Thailand","institution_ids":["https://openalex.org/I114432228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044316233"],"corresponding_institution_ids":["https://openalex.org/I114432228"],"apc_list":null,"apc_paid":null,"fwci":4.3618,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94626328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9363999962806702,"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":0.9110000133514404,"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":0.8624900579452515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7698450088500977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6805127263069153},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6700928211212158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597641110420227},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5533796548843384},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.5213202834129333},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.5198888778686523},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.476254940032959},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45720961689949036},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4542080760002136},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.394016295671463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38582202792167664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08722150325775146}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.8624900579452515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7698450088500977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6805127263069153},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6700928211212158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597641110420227},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5533796548843384},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.5213202834129333},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.5198888778686523},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.476254940032959},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45720961689949036},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4542080760002136},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.394016295671463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38582202792167664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08722150325775146},{"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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W13176313","https://openalex.org/W1543352466","https://openalex.org/W1566045017","https://openalex.org/W1573686114","https://openalex.org/W1574396325","https://openalex.org/W1755360231","https://openalex.org/W1983690667","https://openalex.org/W2097508937","https://openalex.org/W2122701761","https://openalex.org/W2129639577","https://openalex.org/W2146423256","https://openalex.org/W2159080219","https://openalex.org/W2169564307","https://openalex.org/W2171640468","https://openalex.org/W2913758949","https://openalex.org/W4299670631","https://openalex.org/W6632681245","https://openalex.org/W6633761756"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W4286900141","https://openalex.org/W1734881440","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981"],"abstract_inverted_index":{"Bayesian":[0,54,115,142],"networks":[1],"(BNs)":[2],"are":[3,8,46],"probabilistic":[4],"graphical":[5],"models":[6,86],"that":[7],"widely":[9],"used":[10],"for":[11,67,80,117],"building":[12,81,99],"diagnosis-":[13],"and":[14,31,40,57,158,162],"decision-support":[15],"expert":[16],"systems.":[17],"The":[18,120],"construction":[19],"of":[20,25,52,84,102,114],"BNs":[21,69],"with":[22,136],"the":[23,44,50,82,100,111,118,130,133,141],"help":[24],"human":[26],"experts":[27],"is":[28,36,65],"a":[29,53,61,76,88,105,124],"difficult":[30],"time":[32],"consuming":[33],"task,":[34],"which":[35,128],"prone":[37],"to":[38,98,140],"errors":[39],"omissions":[41],"especially":[42],"when":[43],"problems":[45],"very":[47],"complicated.":[48],"Learning":[49,159],"structure":[51,83,101],"network":[55],"model":[56],"causal":[58],"relations":[59],"from":[60,87],"dataset":[62,89],"or":[63],"database":[64],"important":[66],"large":[68],"analysis.":[70],"This":[71],"paper":[72],"focuses":[73],"on":[74,153],"using":[75,91],"SMILE":[77,106,146,154],"Web-based":[78,107,147],"interface":[79,108,127,148],"BN":[85,103],"by":[90],"different":[92],"structural":[93],"learning":[94],"algorithms.":[95],"In":[96],"addition":[97],"models,":[104],"also":[109],"provides":[110],"feature":[112],"set":[113],"diagnosis":[116],"user.":[119],"Web":[121],"application":[122],"uses":[123],"novel":[125],"user-friendly":[126],"intertwines":[129],"steps":[131],"in":[132],"data":[134],"analysis":[135],"brief":[137],"support":[138],"instructions":[139],"approach":[143],"adopted.":[144],"A":[145],"has":[149],"been":[150],"developed":[151],"based":[152],"(Structural":[155],"Modeling,":[156],"Interface,":[157],"Engine),":[160],"SMILEarn,":[161],"SMILE.NET":[163],"wrapper.":[164]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}