{"id":"https://openalex.org/W7219430697","doi":null,"title":"\u0e01\u0e32\u0e23\u0e17\u0e33\u0e19\u0e32\u0e22\u0e01\u0e32\u0e23\u0e40\u0e25\u0e37\u0e2d\u0e01\u0e1b\u0e23\u0e30\u0e40\u0e20\u0e17\u0e1b\u0e23\u0e30\u0e01\u0e31\u0e19\u0e20\u0e31\u0e22\u0e02\u0e2d\u0e07\u0e25\u0e39\u0e01\u0e04\u0e49\u0e32","display_name":"\u0e01\u0e32\u0e23\u0e17\u0e33\u0e19\u0e32\u0e22\u0e01\u0e32\u0e23\u0e40\u0e25\u0e37\u0e2d\u0e01\u0e1b\u0e23\u0e30\u0e40\u0e20\u0e17\u0e1b\u0e23\u0e30\u0e01\u0e31\u0e19\u0e20\u0e31\u0e22\u0e02\u0e2d\u0e07\u0e25\u0e39\u0e01\u0e04\u0e49\u0e32","publication_year":2020,"publication_date":"2020-12-30","ids":{"openalex":"https://openalex.org/W7219430697"},"language":"th","primary_location":{"id":"pmh:oai:ph02.tci-thaijo.org:article/243698","doi":null,"is_oa":true,"landing_page_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/view/243698","pdf_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/download/243698/165295","source":{"id":"https://openalex.org/S7407067797","display_name":"Huachiew Chalermprakiet Science and Technology Journal","issn_l":"2985-1653","issn":["2985-1653"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2985-1653","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/download/243698/165295","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5156765132","display_name":"Chanita Hangkaew","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Hangkaew, Chanita","raw_affiliation_strings":["Department of Statistics , Faculty of Science , Kasetsart University , Bangkok 10900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics , Faculty of Science , Kasetsart University , Bangkok 10900","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063589644","display_name":"Juthaphorn Sinsomboonthong","orcid":"https://orcid.org/0000-0002-3375-5982","observed_orcids":["https://orcid.org/0000-0002-3375-5982"]},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sinsomboonthong, Juthaphorn","raw_affiliation_strings":["Department of Statistics , Faculty of Science , Kasetsart University , Bangkok 10900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics , Faculty of Science , Kasetsart University , Bangkok 10900","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035200377","display_name":"Thidaporn Supapakorn","orcid":"https://orcid.org/0000-0003-0019-9884","observed_orcids":["https://orcid.org/0000-0003-0019-9884"]},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supapakorn, Thidaporn","raw_affiliation_strings":["Department of Statistics , Faculty of Science , Kasetsart University , Bangkok 10900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics , Faculty of Science , Kasetsart University , Bangkok 10900","institution_ids":["https://openalex.org/I198105771"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I198105771"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.7860999703407288,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.7860999703407288,"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"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.07109999656677246,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.05510000139474869,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-decision-making","display_name":"customer decision-making","score":0.9179999828338623},{"id":"https://openalex.org/keywords/multinomial-logit-model","display_name":"multinomial logistic regression","score":0.8920000195503235},{"id":"https://openalex.org/keywords/discriminant-analysis","display_name":"discriminant analysis","score":1.0},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9980000257492065},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9929999709129333},{"id":"https://openalex.org/keywords/classification-method-comparison","display_name":"classification method comparison","score":0.8100000023841858},{"id":"https://openalex.org/keywords/demographic-factors","display_name":"demographic factors","score":0.8209999799728394},{"id":"https://openalex.org/keywords/monthly-income","display_name":"monthly income","score":0.734000027179718},{"id":"https://openalex.org/keywords/age","display_name":"age","score":0.46399998664855957},{"id":"https://openalex.org/keywords/marital-status","display_name":"marital status","score":0.9459999799728394},{"id":"https://openalex.org/keywords/occupation","display_name":"occupation","score":0.6970000267028809},{"id":"https://openalex.org/keywords/gender","display_name":"gender","score":0.878000020980835}],"concepts":[{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.8259999752044678},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7307000160217285},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.65829998254776},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6521999835968018},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5221999883651733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41350001096725464},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39500001072883606},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.35499998927116394},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3483000099658966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C16023879","wikidata":"https://www.wikidata.org/wiki/Q1023599","display_name":"CHAID","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.3343999981880188},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C2781354955","wikidata":"https://www.wikidata.org/wiki/Q11920938","display_name":"Marital status","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3158999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ph02.tci-thaijo.org:article/243698","doi":null,"is_oa":true,"landing_page_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/view/243698","pdf_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/download/243698/165295","source":{"id":"https://openalex.org/S7407067797","display_name":"Huachiew Chalermprakiet Science and Technology Journal","issn_l":"2985-1653","issn":["2985-1653"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2985-1653","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ph02.tci-thaijo.org:article/243698","doi":null,"is_oa":true,"landing_page_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/view/243698","pdf_url":"https://ph02.tci-thaijo.org/index.php/scihcu/article/download/243698/165295","source":{"id":"https://openalex.org/S7407067797","display_name":"Huachiew Chalermprakiet Science and Technology Journal","issn_l":"2985-1653","issn":["2985-1653"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2985-1653","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7219430697.pdf","grobid_xml":"https://content.openalex.org/works/W7219430697.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2992034346","https://openalex.org/W3106741931","https://openalex.org/W4391287893","https://openalex.org/W4285334872","https://openalex.org/W1896015604","https://openalex.org/W7219423185","https://openalex.org/W7219959141","https://openalex.org/W2322750767","https://openalex.org/W3135958643","https://openalex.org/W3017746641"],"abstract_inverted_index":{"The":[0],"objectives":[1],"of":[2,21,23,30,49,91,112],"this":[3],"research":[4],"are":[5,35,79,102,147],"to":[6,26],"study":[7,63,90],"the":[8,15,28,76,89,105,109,121,127,145],"factors":[9,74],"that":[10,66,72,95,117],"have":[11,126,144],"an":[12],"influence":[13],"on":[14],"decision":[16,41,77,106,134],"making":[17,78],"for":[18],"choosing":[19],"types":[20],"insurance":[22],"customers":[24],"and":[25,43,60,85,100,131,140,150],"compare":[27],"efficiency":[29,110,123],"four":[31,113],"classification":[32],"methods":[33],"which":[34,125,143],"multinomial":[36,67,136],"logistic":[37,68,137],"regression,":[38],"discriminant":[39,92,141],"analysis,":[40,139],"tree":[42],"artificial":[44],"neural":[45,118],"network.":[46],"By":[47],"considering":[48],"six":[50],"independent":[51],"variables,":[52],"namely":[53],"gender,":[54,98],"age,":[55,80],"monthly":[56,81],"income,":[57,82],"education,":[58,83],"marital":[59,101],"occupation.":[61,86],"This":[62],"is":[64,120,129],"found":[65],"regression":[69,138],"analysis":[70,93,142],"indicates":[71,94],"five":[73],"affecting":[75,104],"marital,":[84],"In":[87],"addition,":[88],"three":[96],"factors;":[97],"age":[99],"significantly":[103],"making.":[107],"For":[108],"comparison":[111],"methods,":[114],"it\u2019s":[115],"shown":[116],"network":[119],"most":[122],"method":[124],"accuracy":[128,146],"85.57%":[130],"followed":[132],"by":[133],"tree,":[135],"76.50%,":[148],"70.00%":[149],"61.80%,":[151],"respectively.":[152]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-04T00:00:00"}
