{"id":"https://openalex.org/W3018078705","doi":"https://doi.org/10.1007/978-981-15-3172-9_64","title":"Churning of Bank Customers Using Supervised Learning","display_name":"Churning of Bank Customers Using Supervised Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3018078705","doi":"https://doi.org/10.1007/978-981-15-3172-9_64","mag":"3018078705"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-15-3172-9_64","doi":"https://doi.org/10.1007/978-981-15-3172-9_64","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-15-3172-9_64","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4231145413","display_name":"Innovations in Electronics and Communication Engineering"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-981-15-3172-9_64","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026537902","display_name":"Hemlata Dalmia","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hemlata Dalmia","raw_affiliation_strings":["ECE Department, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075035947","display_name":"Ch V S S Nikil","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ch V S S Nikil","raw_affiliation_strings":["Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071404767","display_name":"Sandeep Kumar","orcid":"https://orcid.org/0000-0002-4752-7884","observed_orcids":["https://orcid.org/0000-0002-4752-7884"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sandeep Kumar","raw_affiliation_strings":["ECE Department, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026537902"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.7203,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98252093,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"681","last_page":"691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":1.0,"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":1.0,"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":0.0,"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/T10154","display_name":"Customer Service Quality and Loyalty","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-churn-prediction","display_name":"customer churn prediction","score":0.9240000247955322},{"id":"https://openalex.org/keywords/bank-customers","display_name":"bank customers","score":0.8989999890327454},{"id":"https://openalex.org/keywords/customer-retention","display_name":"customer retention","score":0.9850000143051147},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.6629999876022339},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.9980000257492065},{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.38100001215934753},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"supervised learning","score":0.5809999704360962}],"concepts":[{"id":"https://openalex.org/C161664118","wikidata":"https://www.wikidata.org/wiki/Q1089933","display_name":"Churning","level":2,"score":0.9814929962158203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.584358274936676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5686632990837097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534235239028931},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5374062657356262},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5293111205101013},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.49084192514419556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32630079984664917},{"id":"https://openalex.org/C145236788","wikidata":"https://www.wikidata.org/wiki/Q28161","display_name":"Labour economics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-15-3172-9_64","doi":"https://doi.org/10.1007/978-981-15-3172-9_64","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-15-3172-9_64","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-15-3172-9_64","doi":"https://doi.org/10.1007/978-981-15-3172-9_64","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-15-3172-9_64","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1973004077","https://openalex.org/W1978986279","https://openalex.org/W2018979850","https://openalex.org/W2022565484","https://openalex.org/W2058466062","https://openalex.org/W2061539141","https://openalex.org/W2061798849","https://openalex.org/W2089215879","https://openalex.org/W2095123696","https://openalex.org/W2115573539","https://openalex.org/W2140166336","https://openalex.org/W2161560928","https://openalex.org/W2181491478","https://openalex.org/W2235496965","https://openalex.org/W2236028526","https://openalex.org/W2296885069","https://openalex.org/W2512929571","https://openalex.org/W2560738241","https://openalex.org/W2602451986","https://openalex.org/W2634068430","https://openalex.org/W2778803422","https://openalex.org/W2789071465","https://openalex.org/W2806801170","https://openalex.org/W2810535805","https://openalex.org/W2902500515","https://openalex.org/W2939289155","https://openalex.org/W2941656241","https://openalex.org/W6600002382","https://openalex.org/W6600003358","https://openalex.org/W6601718727","https://openalex.org/W6602439081","https://openalex.org/W6606277988","https://openalex.org/W6634585094"],"related_works":["https://openalex.org/W4390121634","https://openalex.org/W4406128201","https://openalex.org/W4316658638","https://openalex.org/W7216111386","https://openalex.org/W4412926251","https://openalex.org/W4311232261","https://openalex.org/W3125592770","https://openalex.org/W4399583211","https://openalex.org/W3114302679","https://openalex.org/W4295367489"],"abstract_inverted_index":{"In":[0],"the":[1,32,41,50,59,90,93,98,103],"current":[2],"challenging":[3],"era,":[4],"there":[5],"is":[6,58,64,84,125,152,157],"prominent":[7],"competition":[8],"in":[9,101,154],"bank":[10,19,45,91],"industry.":[11,37],"To":[12],"improve":[13],"quality":[14],"and":[15,66,88,115,131,162,175],"level":[16],"of":[17,35,43],"service,":[18],"concentrates":[20],"on":[21,40,166],"customer":[22,27,106],"retention":[23],"as":[24,26,113],"well":[25],"churning.":[28],"This":[29],"paper":[30],"discusses":[31],"classification":[33],"problem":[34],"banking":[36],"It":[38],"focuses":[39],"customers":[42,52,94,117],"a":[44,76],"concerns":[46],"towards":[47],"churning,":[48],"predicting":[49],"departing":[51],"from":[53],"potential":[54],"customers.":[55,133],"Machine":[56],"learning":[57,82],"cutting":[60],"edge":[61],"technology":[62],"that":[63],"practical":[65],"handy":[67],"to":[68,86,119,126],"solve":[69],"such":[70],"problems.":[71],"Using":[72,122],"supervised":[73],"machine":[74,81],"learning,":[75],"proprietary":[77],"algorithm":[78,150,172],"(a":[79],"typical":[80],"model)":[83],"created":[85],"forecast":[87],"inform":[89],"about":[92],"who":[95],"are":[96,118,137],"at":[97],"highest":[99],"risk":[100],"leaving":[102],"bank.":[104],"A":[105,145],"churn":[107,114,130],"prediction":[108],"can":[109],"be":[110,120,127],"used":[111],"here":[112],"nonchurn":[116,132],"defined.":[121],"ML,":[123],"gap":[124],"resolved":[128],"between":[129],"Different":[134],"accuracy":[135],"levels":[136],"achieved":[138],"by":[139],"classifiers":[140],"using":[141],"different":[142],"data":[143],"sheets.":[144],"novel":[146],"approach":[147],"K-nearest":[148],"neighbor":[149],"(KNN)":[151],"presented":[153],"which":[155],"dataset":[156],"suitably":[158],"grouped":[159],"into":[160],"training":[161],"testing":[163],"models":[164],"depending":[165],"weighted":[167],"scales":[168],"along":[169],"with":[170],"XGBooster":[171],"for":[173],"high":[174],"improved":[176],"accuracy.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-05-01T00:00:00"}