{"id":"https://openalex.org/W4386250137","doi":"https://doi.org/10.1109/icit58056.2023.10225996","title":"Customer Personality Segmentation Using K-Means Clustering","display_name":"Customer Personality Segmentation Using K-Means Clustering","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4386250137","doi":"https://doi.org/10.1109/icit58056.2023.10225996"},"language":"en","primary_location":{"id":"doi:10.1109/icit58056.2023.10225996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit58056.2023.10225996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","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/A5092815553","display_name":"Lana Al-Dabbas","orcid":null},"institutions":[{"id":"https://openalex.org/I104941359","display_name":"Al-Ahliyya Amman University","ror":"https://ror.org/00xddhq60","country_code":"JO","type":"education","lineage":["https://openalex.org/I104941359"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Lana Al-Dabbas","raw_affiliation_strings":["Al-Ahliyya Amman University,Department of Data sciences and Artificial Intelligence,Amman,Jordan","Department of Data sciences and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"Al-Ahliyya Amman University,Department of Data sciences and Artificial Intelligence,Amman,Jordan","institution_ids":["https://openalex.org/I104941359"]},{"raw_affiliation_string":"Department of Data sciences and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan","institution_ids":["https://openalex.org/I104941359"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109708539","display_name":"Hassan Al-Tarawneh","orcid":null},"institutions":[{"id":"https://openalex.org/I104941359","display_name":"Al-Ahliyya Amman University","ror":"https://ror.org/00xddhq60","country_code":"JO","type":"education","lineage":["https://openalex.org/I104941359"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Hassan Al-Tarawneh","raw_affiliation_strings":["Al-Ahliyya Amman University,Department of Data sciences and Artificial Intelligence,Amman,Jordan","Department of Data sciences and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"Al-Ahliyya Amman University,Department of Data sciences and Artificial Intelligence,Amman,Jordan","institution_ids":["https://openalex.org/I104941359"]},{"raw_affiliation_string":"Department of Data sciences and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan","institution_ids":["https://openalex.org/I104941359"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025760830","display_name":"Thamer Alrawashdeh","orcid":"https://orcid.org/0000-0001-6709-5495"},"institutions":[{"id":"https://openalex.org/I145019703","display_name":"Al-Zaytoonah University of Jordan","ror":"https://ror.org/04a5b0p13","country_code":"JO","type":"education","lineage":["https://openalex.org/I145019703"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Thamer A Al-Rawashdeh","raw_affiliation_strings":["Al-Zaytoonah University of Jordan,Department of Software Engineering,Amman,jordan","Department of Software Engineering, Al-Zaytoonah University of Jordan, Amman, jordan"],"affiliations":[{"raw_affiliation_string":"Al-Zaytoonah University of Jordan,Department of Software Engineering,Amman,jordan","institution_ids":["https://openalex.org/I145019703"]},{"raw_affiliation_string":"Department of Software Engineering, Al-Zaytoonah University of Jordan, Amman, jordan","institution_ids":["https://openalex.org/I145019703"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092815553"],"corresponding_institution_ids":["https://openalex.org/I104941359"],"apc_list":null,"apc_paid":null,"fwci":0.9119,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80136625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9983999729156494,"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":0.9983999729156494,"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/T10154","display_name":"Customer Service Quality and Loyalty","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.700485348701477},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5964950919151306},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.5845641493797302},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5664876699447632},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5524206161499023},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.5306320190429688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42716941237449646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2158282995223999}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.700485348701477},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5964950919151306},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.5845641493797302},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5664876699447632},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5524206161499023},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5306320190429688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42716941237449646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2158282995223999},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58056.2023.10225996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit58056.2023.10225996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2091994826","https://openalex.org/W3082463427","https://openalex.org/W3114428611","https://openalex.org/W3120686537","https://openalex.org/W3168398868","https://openalex.org/W3173696850","https://openalex.org/W3176934867","https://openalex.org/W3184050568","https://openalex.org/W4282824746","https://openalex.org/W4289767657","https://openalex.org/W4293054853","https://openalex.org/W4295278493","https://openalex.org/W6782064738","https://openalex.org/W6788693052","https://openalex.org/W6796424314","https://openalex.org/W6797785830"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W1963857025","https://openalex.org/W4388872137","https://openalex.org/W2149796779","https://openalex.org/W2600109365"],"abstract_inverted_index":{"Enhancing":[0],"sales":[1,26,97],"strategies":[2,100],"and":[3,33,43,98,121,128,130,136,149],"developing":[4],"targeted":[5],"marketing":[6,85,99],"approaches":[7],"that":[8],"effectively":[9],"resonate":[10],"with":[11,36,118,125,133,146],"customers":[12,64,117,124,132],"are":[13],"crucial":[14],"for":[15,92],"achieving":[16],"success":[17],"in":[18,30,77],"today's":[19],"highly":[20],"competitive":[21],"marketplace.":[22],"To":[23],"accomplish":[24],"this,":[25],"organizations":[27],"can":[28,56],"invest":[29],"their":[31,96,144],"teams":[32],"equip":[34],"them":[35],"analytical":[37],"tools":[38],"to":[39,82,94,142],"examine":[40],"customer":[41,54,78,114,147],"personality":[42],"behavior.":[44],"By":[45],"employing":[46],"unsupervised":[47],"learning":[48],"algorithms":[49],"such":[50],"as":[51],"K-Means":[52],"clustering,":[53],"data":[55],"be":[57],"efficiently":[58],"analyzed,":[59],"facilitating":[60],"the":[61,73,103],"grouping":[62],"of":[63,75,105],"into":[65],"clusters":[66],"based":[67,101],"on":[68,102],"shared":[69],"characteristics.":[70],"This":[71,87],"enables":[72],"identification":[74],"patterns":[76],"behavior,":[79,129],"allowing":[80],"companies":[81,93,141],"create":[83],"tailored":[84],"strategies.":[86],"study":[88],"provides":[89],"practical":[90],"recommendations":[91],"enhance":[95],"analysis":[104],"a":[106],"benchmark":[107],"dataset":[108],"from":[109],"Kaggle,":[110],"revealing":[111],"three":[112],"primary":[113],"clusters:":[115],"new":[116],"lower":[119],"income":[120,127,135],"spending,":[122],"old":[123,131],"average":[126],"higher":[134],"spending.":[137],"These":[138],"insights":[139],"empower":[140],"align":[143],"efforts":[145],"preferences":[148],"improve.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}