{"id":"https://openalex.org/W2024664693","doi":"https://doi.org/10.1145/1643823.1643850","title":"Knowledge extraction by probabilistic cognitive structure modeling using a Bayesian network for use by a retail service","display_name":"Knowledge extraction by probabilistic cognitive structure modeling using a Bayesian network for use by a retail service","publication_year":2009,"publication_date":"2009-10-27","ids":{"openalex":"https://openalex.org/W2024664693","doi":"https://doi.org/10.1145/1643823.1643850","mag":"2024664693"},"language":"en","primary_location":{"id":"doi:10.1145/1643823.1643850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1643823.1643850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Management of Emergent Digital EcoSystems","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/A5014294379","display_name":"Tsukasa Ishigaki","orcid":null},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Ishigaki","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108625998","display_name":"Yoichi Motomura","orcid":null},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Motomura","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082777089","display_name":"Masako Dohi","orcid":null},"institutions":[{"id":"https://openalex.org/I15605915","display_name":"Otsuma Women's University","ror":"https://ror.org/012322w18","country_code":"JP","type":"education","lineage":["https://openalex.org/I15605915"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masako Dohi","raw_affiliation_strings":["Otsuma Women's University and AIST, Chiyoda-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otsuma Women's University and AIST, Chiyoda-ku, Japan","institution_ids":["https://openalex.org/I15605915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110608738","display_name":"Makiko Kouchi","orcid":null},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makiko Kouchi","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080098550","display_name":"Masaaki Mochimaru","orcid":"https://orcid.org/0000-0003-4147-853X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Mochimaru","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Koto-ku, Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.453,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7271035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9896000027656555,"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":0.9896000027656555,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9883000254631042,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9628000259399414,"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/computer-science","display_name":"Computer science","score":0.7275828123092651},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.617123544216156},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5846021175384521},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5421429872512817},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5411145091056824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5343868732452393},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5132303237915039},{"id":"https://openalex.org/keywords/customer-satisfaction","display_name":"Customer satisfaction","score":0.4668028652667999},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4660440981388092},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4225488603115082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4085887670516968},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.28098541498184204},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08679452538490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275828123092651},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.617123544216156},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5846021175384521},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5421429872512817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5411145091056824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5343868732452393},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5132303237915039},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.4668028652667999},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4660440981388092},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4225488603115082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4085887670516968},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.28098541498184204},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08679452538490295},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1643823.1643850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1643823.1643850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Management of Emergent Digital EcoSystems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W189013878","https://openalex.org/W595228943","https://openalex.org/W1506806321","https://openalex.org/W1510073064","https://openalex.org/W1515574604","https://openalex.org/W1560512119","https://openalex.org/W1563088657","https://openalex.org/W1603025635","https://openalex.org/W1746680969","https://openalex.org/W1817561967","https://openalex.org/W1972557675","https://openalex.org/W1981742050","https://openalex.org/W1993140368","https://openalex.org/W2040993216","https://openalex.org/W2059386192","https://openalex.org/W2059952317","https://openalex.org/W2063302042","https://openalex.org/W2087199110","https://openalex.org/W2089370919","https://openalex.org/W2108995755","https://openalex.org/W2137813581","https://openalex.org/W2142635246","https://openalex.org/W2167817177","https://openalex.org/W2217562339","https://openalex.org/W2334587696","https://openalex.org/W2415785333","https://openalex.org/W2502088893","https://openalex.org/W2594639291","https://openalex.org/W3133236490","https://openalex.org/W4244821477","https://openalex.org/W6629510986","https://openalex.org/W6688268213","https://openalex.org/W6716598974","https://openalex.org/W7075292137"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W2188106786","https://openalex.org/W1554198325"],"abstract_inverted_index":{"By":[0],"understanding":[1],"the":[2,9,11,48,63,70,101,105,109,117,170,173,192,198,216],"behavior,":[3],"satisfaction":[4,17,110],"level,":[5],"or":[6,65,75,86,178],"values":[7],"of":[8,15,18,40,51,69,95,100,104,116,119,169,172,191,201,204,238],"customer,":[10,71,106],"productivity":[12],"and":[13,112,140,148,165,213,222],"level":[14,111],"customer":[16,118],"a":[19,34,93,97,120,131,141,220,236],"service":[20,122],"industry":[21],"can":[22,145,157,166,228],"be":[23,158,229],"improved.":[24],"Such":[25],"customer-based":[26],"considerations":[27,42],"are":[28],"estimated":[29],"from":[30,195,215],"questionnaire":[31,138],"data":[32,139],"in":[33,181],"general":[35],"manner.":[36],"The":[37,89,127,154,183,225],"useful":[38,208],"estimation":[39],"such":[41,55],"requires":[43],"effective":[44],"methods":[45],"for":[46,210],"modeling":[47,81],"cognitive":[49,102,133],"structures":[50],"customers":[52,196],"based":[53,161],"on":[54,162],"data.":[56,239],"However,":[57],"it":[58],"is":[59,186],"difficult":[60],"to":[61,188,231],"model":[62,99,135,155,174,217],"behavior":[64],"decision":[66,113],"making":[67,114],"process":[68,115],"which":[72,83,107,144],"involves":[73],"nonlinear":[74,147],"non-Gaussian":[76,149],"variables,":[77],"using":[78],"conventional":[79],"statistical":[80,124],"techniques,":[82],"assume":[84],"linear":[85],"Gaussian":[87],"models.":[88],"present":[90],"paper":[91],"describes":[92],"method":[94,129,185,227],"constructing":[96],"probabilistic":[98,132],"structure":[103,134,156],"clarifies":[108],"retail":[121],"through":[123],"graphical":[125],"modeling.":[126],"proposed":[128,184,226],"constructs":[130],"by":[136,219],"integrating":[137],"Bayesian":[142],"network,":[143],"handle":[146],"variables":[150],"as":[151],"conditional":[152],"probabilities.":[153],"constructed":[159,218],"automatically":[160],"information":[163],"criteria":[164],"embed":[167],"some":[168],"experiences":[171],"designer":[175],"and/or":[176],"physical":[177],"social":[179],"rules":[180],"advance.":[182],"applied":[187,230],"an":[189,202],"analysis":[190],"requested":[193],"function":[194,211],"regarding":[197],"continued":[199],"use":[200,235],"item":[203],"interest.":[205],"We":[206],"obtained":[207],"knowledge":[209],"design":[212],"marketing":[214],"simulation":[221],"sensitivity":[223],"analysis.":[224],"various":[232],"services":[233],"that":[234],"variety":[237]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}