{"id":"https://openalex.org/W3211296622","doi":"https://doi.org/10.14569/ijacsa.2021.0121024","title":"Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation","display_name":"Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3211296622","doi":"https://doi.org/10.14569/ijacsa.2021.0121024","mag":"3211296622"},"language":"en","primary_location":{"id":"doi:10.14569/ijacsa.2021.0121024","doi":"https://doi.org/10.14569/ijacsa.2021.0121024","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2021.0121024","pdf_url":"http://thesai.org/Downloads/Volume12No10/Paper_24-Machine_Learning_Mini_Batch_K_means.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Computer Science and Applications","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://thesai.org/Downloads/Volume12No10/Paper_24-Machine_Learning_Mini_Batch_K_means.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018271317","display_name":"Firman Pradana Rachman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405274644","display_name":"Universitas Pradita","ror":"https://ror.org/0238nm695","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274644"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Firman Pradana Rachman","raw_affiliation_strings":["Master of Information Technology Department, Faculty of Science and Technology Pradita University, Tangerang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master of Information Technology Department, Faculty of Science and Technology Pradita University, Tangerang, Indonesia","institution_ids":["https://openalex.org/I4405274644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001305530","display_name":"Handri Santoso","orcid":"https://orcid.org/0000-0002-3265-8179","observed_orcids":["https://orcid.org/0000-0002-3265-8179"]},"institutions":[{"id":"https://openalex.org/I4405274644","display_name":"Universitas Pradita","ror":"https://ror.org/0238nm695","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274644"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Handri Santoso","raw_affiliation_strings":["Master of Information Technology Department, Faculty of Science and Technology Pradita University, Tangerang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master of Information Technology Department, Faculty of Science and Technology Pradita University, Tangerang, Indonesia","institution_ids":["https://openalex.org/I4405274644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004908532","display_name":"Arko Djajadi","orcid":"https://orcid.org/0000-0001-9076-647X","observed_orcids":["https://orcid.org/0000-0001-9076-647X"]},"institutions":[{"id":"https://openalex.org/I4405274644","display_name":"Universitas Pradita","ror":"https://ror.org/0238nm695","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274644"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arko Djajadi","raw_affiliation_strings":["Master of Information Technology Department, Faculty of Science and Technology Pradita University, Tangerang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master of Information Technology Department, Faculty of Science and Technology Pradita University, Tangerang, Indonesia","institution_ids":["https://openalex.org/I4405274644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405274644"],"apc_list":null,"apc_paid":null,"fwci":1.38,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85555556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9994999766349792,"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":0.9994999766349792,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0003000000142492354,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-segmentation","display_name":"customer segmentation","score":0.878000020980835},{"id":"https://openalex.org/keywords/credit-card-customers","display_name":"credit card customers","score":0.953000009059906},{"id":"https://openalex.org/keywords/rfm-analysis","display_name":"RFM analysis","score":0.796999990940094},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.6899999976158142},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"business intelligence","score":0.8429999947547913},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"data warehouse","score":0.9309999942779541},{"id":"https://openalex.org/keywords/demography","display_name":"demography","score":0.48899999260902405},{"id":"https://openalex.org/keywords/consumer-behavior","display_name":"consumer behavior","score":0.9190000295639038},{"id":"https://openalex.org/keywords/marketing-strategy","display_name":"marketing strategy","score":0.7360000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127378821372986},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6886268854141235},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.654583215713501},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5702773332595825},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.5657505393028259},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5430970788002014},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.5351212024688721},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.49689629673957825},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.49316829442977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4821845591068268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4697354733943939},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.42283183336257935},{"id":"https://openalex.org/C130721881","wikidata":"https://www.wikidata.org/wiki/Q1146253","display_name":"Customer lifetime value","level":5,"score":0.415926456451416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32782378792762756},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.31154608726501465},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.29907941818237305},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15296697616577148},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14327672123908997},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.07079574465751648},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14569/ijacsa.2021.0121024","doi":"https://doi.org/10.14569/ijacsa.2021.0121024","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2021.0121024","pdf_url":"http://thesai.org/Downloads/Volume12No10/Paper_24-Machine_Learning_Mini_Batch_K_means.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Computer Science and Applications","raw_type":"journal-article"},{"id":"pmh:oai:thesai.org:f8709c74-367e-4dfe-b1d0-3337c37a1f91","doi":null,"is_oa":true,"landing_page_url":"https://thesai.org/Publications/ViewPaper?Volume=12&Issue=10&Code=IJACSA&SerialNo=24","pdf_url":"https://thesai.org/Downloads/Volume12No10/Paper_24-Machine_Learning_Mini_Batch_K_means.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Advanced Computer Science and Applications, Vol. 12, No. 10 (2021), ISSN 2158-107X","raw_type":"text"}],"best_oa_location":{"id":"doi:10.14569/ijacsa.2021.0121024","doi":"https://doi.org/10.14569/ijacsa.2021.0121024","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2021.0121024","pdf_url":"http://thesai.org/Downloads/Volume12No10/Paper_24-Machine_Learning_Mini_Batch_K_means.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Computer Science and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Decent work and economic growth","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211296622.pdf","grobid_xml":"https://content.openalex.org/works/W3211296622.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2246594068","https://openalex.org/W2248691989","https://openalex.org/W2527215070","https://openalex.org/W2620917971","https://openalex.org/W2758744716","https://openalex.org/W2786919169","https://openalex.org/W2802715922","https://openalex.org/W2891398129","https://openalex.org/W2891981083","https://openalex.org/W2899185753","https://openalex.org/W2901067940","https://openalex.org/W2980728347","https://openalex.org/W2997093561","https://openalex.org/W3001975894","https://openalex.org/W3009535589","https://openalex.org/W3015682711","https://openalex.org/W3036321826","https://openalex.org/W3082081124","https://openalex.org/W3082801451","https://openalex.org/W3094123853","https://openalex.org/W3098223835","https://openalex.org/W3126169536","https://openalex.org/W3141585169","https://openalex.org/W3159755368","https://openalex.org/W3184230022","https://openalex.org/W4240368626","https://openalex.org/W4250988393"],"related_works":["https://openalex.org/W4387939144","https://openalex.org/W2965002674","https://openalex.org/W3082571117","https://openalex.org/W4290648655","https://openalex.org/W4412176430","https://openalex.org/W4250988393","https://openalex.org/W4323048015","https://openalex.org/W3167739826","https://openalex.org/W4409829095","https://openalex.org/W3169759427"],"abstract_inverted_index":{"An":[0],"effective":[1],"marketing":[2],"strategy":[3],"is":[4,16],"a":[5,19,39,80,106,117],"method":[6],"to":[7,78,93],"identify":[8],"the":[9,14,32,66,70,95,98,123,128],"customers":[10,67,96],"well.":[11],"One":[12],"of":[13,27,64,103],"methods":[15],"by":[17],"performing":[18],"customer":[20,28,48,55,81,84],"segmentation.":[21],"This":[22,113],"study":[23,114],"provided":[24,105],"an":[25],"illustration":[26],"segmentation":[29,49,85],"based":[30,50,68,86],"on":[31,51,69,87],"RFM":[33,71],"(Recency,":[34],"Frequency,":[35],"Monetary)":[36],"analysis":[37,108],"using":[38],"machine":[40,73,124],"learning":[41,74,125],"clustering":[42,75,132],"that":[43,119],"can":[44],"be":[45],"combined":[46],"with":[47,97,127],"demography,":[52,88],"geography,":[53,89],"and":[54,72,90,138],"habit":[56],"through":[57],"data":[58],"warehouse-based":[59],"business":[60],"intelligence.":[61],"The":[62,101],"purpose":[63],"classifying":[65],"analyses":[76],"was":[77,92,122],"make":[79],"level.":[82],"Meanwhile,":[83],"behavior":[91],"classify":[94],"same":[99],"characteristics.":[100],"combination":[102],"both":[104],"better":[107],"result":[109,118],"in":[110,131],"understanding":[111],"customers.":[112],"also":[115],"showed":[116],"minibatch":[120],"k-means":[121],"model":[126],"rapid":[129],"performance":[130],"3-dimension":[133],"data,":[134],"namely":[135],"recency,":[136],"frequency,":[137],"monetary.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-11-08T00:00:00"}
