{"id":"https://openalex.org/W2071183648","doi":"https://doi.org/10.4018/jsds.2013010104","title":"A Data Mining Model for Risk Assessment and Customer Segmentation in the Insurance Industry","display_name":"A Data Mining Model for Risk Assessment and Customer Segmentation in the Insurance Industry","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2071183648","doi":"https://doi.org/10.4018/jsds.2013010104","mag":"2071183648"},"language":"en","primary_location":{"id":"doi:10.4018/jsds.2013010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jsds.2013010104","pdf_url":null,"source":{"id":"https://openalex.org/S11317544","display_name":"International Journal of Strategic Decision Sciences","issn_l":"1947-8569","issn":["1947-8569","1947-8577"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Strategic Decision Sciences","raw_type":"journal-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/A5046888340","display_name":"Payam Hanafizadeh","orcid":"https://orcid.org/0000-0002-5233-987X"},"institutions":[{"id":"https://openalex.org/I200432940","display_name":"Allameh Tabataba'i University","ror":"https://ror.org/02cc4gc68","country_code":"IR","type":"education","lineage":["https://openalex.org/I200432940"]},{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Payam Hanafizadeh","raw_affiliation_strings":["Department of Management and Accounting, Allemeh Tabataba\u2019i University of Tehran, Iran","Department of Management and Accounting, Allemeh Tabataba'i University of Tehran, Iran#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-5233-987X","affiliations":[{"raw_affiliation_string":"Department of Management and Accounting, Allemeh Tabataba\u2019i University of Tehran, Iran","institution_ids":["https://openalex.org/I200432940","https://openalex.org/I23946033"]},{"raw_affiliation_string":"Department of Management and Accounting, Allemeh Tabataba'i University of Tehran, Iran#TAB#","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053164572","display_name":"Neda Rastkhiz Paydar","orcid":null},"institutions":[{"id":"https://openalex.org/I200432940","display_name":"Allameh Tabataba'i University","ror":"https://ror.org/02cc4gc68","country_code":"IR","type":"education","lineage":["https://openalex.org/I200432940"]},{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Neda Rastkhiz Paydar","raw_affiliation_strings":["Department of Management and Accounting, Allemeh Tabataba\u2019i University of Tehran, Iran","Department of Management and Accounting, Allemeh Tabataba'i University of Tehran, Iran#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management and Accounting, Allemeh Tabataba\u2019i University of Tehran, Iran","institution_ids":["https://openalex.org/I200432940","https://openalex.org/I23946033"]},{"raw_affiliation_string":"Department of Management and Accounting, Allemeh Tabataba'i University of Tehran, Iran#TAB#","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7568,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.914755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"1","first_page":"52","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9993000030517578,"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9754999876022339,"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/T12394","display_name":"Insurance and Financial Risk Management","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081319689750671},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6650312542915344},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.6217306852340698},{"id":"https://openalex.org/keywords/earnings","display_name":"Earnings","score":0.5779171586036682},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5380757451057434},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48823192715644836},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.45518583059310913},{"id":"https://openalex.org/keywords/insurance-industry","display_name":"Insurance industry","score":0.4350050091743469},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4080454707145691},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.3070424199104309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29011648893356323},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.26910120248794556},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.26101720333099365},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1687738299369812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081319689750671},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6650312542915344},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6217306852340698},{"id":"https://openalex.org/C2781426361","wikidata":"https://www.wikidata.org/wiki/Q5326940","display_name":"Earnings","level":2,"score":0.5779171586036682},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5380757451057434},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48823192715644836},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.45518583059310913},{"id":"https://openalex.org/C2984333267","wikidata":"https://www.wikidata.org/wiki/Q43183","display_name":"Insurance industry","level":2,"score":0.4350050091743469},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4080454707145691},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3070424199104309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29011648893356323},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.26910120248794556},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.26101720333099365},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1687738299369812},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jsds.2013010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jsds.2013010104","pdf_url":null,"source":{"id":"https://openalex.org/S11317544","display_name":"International Journal of Strategic Decision Sciences","issn_l":"1947-8569","issn":["1947-8569","1947-8577"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Strategic Decision Sciences","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsds00:v:4:y:2013:i:1:p:52-78","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jsds.2013010104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W80824195","https://openalex.org/W565624808","https://openalex.org/W613443579","https://openalex.org/W644848535","https://openalex.org/W1527258977","https://openalex.org/W1570131942","https://openalex.org/W1570448133","https://openalex.org/W1898277060","https://openalex.org/W1971116184","https://openalex.org/W1981358475","https://openalex.org/W2001894535","https://openalex.org/W2017485210","https://openalex.org/W2034782361","https://openalex.org/W2042838633","https://openalex.org/W2051160363","https://openalex.org/W2063264027","https://openalex.org/W2068363510","https://openalex.org/W2071552263","https://openalex.org/W2071817844","https://openalex.org/W2071821146","https://openalex.org/W2072593151","https://openalex.org/W2074856671","https://openalex.org/W2075150581","https://openalex.org/W2075456401","https://openalex.org/W2078752440","https://openalex.org/W2088921528","https://openalex.org/W2106792795","https://openalex.org/W2110802877","https://openalex.org/W2111032307","https://openalex.org/W2112523907","https://openalex.org/W2124093564","https://openalex.org/W2126717415","https://openalex.org/W2129017820","https://openalex.org/W2133097426","https://openalex.org/W2136937872","https://openalex.org/W2141496859","https://openalex.org/W2144997351","https://openalex.org/W2147953360","https://openalex.org/W2152170921","https://openalex.org/W2158184062","https://openalex.org/W2161472912","https://openalex.org/W2164790219","https://openalex.org/W2166006157","https://openalex.org/W2171209182","https://openalex.org/W2295770854","https://openalex.org/W2303394219","https://openalex.org/W2576365360","https://openalex.org/W3036846224","https://openalex.org/W4238316224","https://openalex.org/W4245176872","https://openalex.org/W7046397192"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2045342254","https://openalex.org/W2535231171","https://openalex.org/W1501331687","https://openalex.org/W4255512592","https://openalex.org/W2501551404","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W1504527458"],"abstract_inverted_index":{"Customer":[0],"segmentation":[1],"on":[2,59,104],"the":[3,24,31,35,40,64,67,85,90,94,99,119,122,141,148,151,160],"basis":[4,60],"of":[5,23,37,61,77,124,131],"predictable":[6],"risks":[7],"can":[8],"help":[9],"insurance":[10,20,32,57],"firms":[11],"maximize":[12],"their":[13,17],"earnings":[14],"and":[15,27,84,126,134,144],"minimize":[16],"losses.":[18],"Car":[19],"is":[21],"one":[22],"most":[25],"lucrative":[26],"profitable":[28],"branches":[29],"in":[30,56,73,121,150],"industry.":[33],"Utilizing":[34],"concept":[36],"self-organizing":[38,111,166],"map,":[39],"authors":[41,68,109],"propose":[42],"a":[43],"two-phase":[44],"model":[45],"called":[46],"\u2018Auto":[47],"Insurance":[48],"Customers":[49],"Segmentation":[50],"Intelligent":[51],"Tool\u2019":[52],"to":[53,117,140,147,158],"segment":[54],"customers":[55],"companies":[58],"risk.":[62],"In":[63,93],"first":[65],"phase,":[66,96],"extract":[69],"18":[70],"risk":[71],"factors":[72],"four":[74],"categories":[75],"consisting":[76],"demographic":[78],"specifications,":[79,81,83],"auto":[80],"policy":[82],"driver\u2019s":[86],"record":[87],"extracted":[88],"from":[89],"literature":[91],"review.":[92],"second":[95],"they":[97,114],"finalize":[98],"selection":[100],"process":[101],"by":[102],"drawing":[103],"expert":[105],"opinion":[106],"polls.":[107],"The":[108],"utilize":[110],"maps":[112,129],"since":[113],"are":[115,156],"able":[116],"display":[118],"output":[120],"form":[123],"illustrative":[125],"comprehensible":[127],"graphical":[128],"capable":[130],"representing":[132],"linear":[133],"non-linear":[135],"relationships":[136],"among":[137],"variables,":[138],"insensitive":[139],"learning":[142,152],"input,":[143],"slightly":[145],"sensitive":[146],"noise":[149],"input.":[153],"Finally,":[154],"K-means":[155],"employed":[157],"compare":[159],"results":[161],"with":[162],"those":[163],"obtained":[164],"through":[165],"maps.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
