{"id":"https://openalex.org/W3130989307","doi":"https://doi.org/10.1007/s00607-021-00908-y","title":"Customer churn prediction system: a machine learning approach","display_name":"Customer churn prediction system: a machine learning approach","publication_year":2021,"publication_date":"2021-02-14","ids":{"openalex":"https://openalex.org/W3130989307","doi":"https://doi.org/10.1007/s00607-021-00908-y","mag":"3130989307"},"language":"en","primary_location":{"id":"doi:10.1007/s00607-021-00908-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00607-021-00908-y","pdf_url":null,"source":{"id":"https://openalex.org/S35593046","display_name":"Computing","issn_l":"0010-485X","issn":["0010-485X","1436-5057"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing","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/A5064642205","display_name":"Praveen Lalwani","orcid":"https://orcid.org/0000-0002-0024-7738"},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Praveen Lalwani","raw_affiliation_strings":["VIT Bhopal University, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"VIT Bhopal University, Bhopal, India","institution_ids":["https://openalex.org/I464993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048964979","display_name":"Manas Kumar Mishra","orcid":"https://orcid.org/0000-0002-2584-7449"},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manas Kumar Mishra","raw_affiliation_strings":["VIT Bhopal University, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"VIT Bhopal University, Bhopal, India","institution_ids":["https://openalex.org/I464993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016877082","display_name":"Jasroop Singh Chadha","orcid":"https://orcid.org/0000-0002-6311-2128"},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jasroop Singh Chadha","raw_affiliation_strings":["VIT Bhopal University, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"VIT Bhopal University, Bhopal, India","institution_ids":["https://openalex.org/I464993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055477776","display_name":"Pratyush Sethi","orcid":null},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pratyush Sethi","raw_affiliation_strings":["VIT Bhopal University, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"VIT Bhopal University, Bhopal, India","institution_ids":["https://openalex.org/I464993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064642205"],"corresponding_institution_ids":["https://openalex.org/I464993"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":37.1233,"has_fulltext":false,"cited_by_count":299,"citation_normalized_percentile":{"value":0.99915128,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"104","issue":"2","first_page":"271","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9840999841690063,"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.817055881023407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7695774435997009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.738639771938324},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7181400060653687},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6728067398071289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6694846749305725},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6453825235366821},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6437619924545288},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5874231457710266},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5738162398338318},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5328671932220459},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.515175461769104},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.500565767288208},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.4884151816368103},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4883250892162323},{"id":"https://openalex.org/keywords/chaid","display_name":"CHAID","score":0.43145808577537537},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41637158393859863},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30188095569610596}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.817055881023407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7695774435997009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.738639771938324},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7181400060653687},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6728067398071289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694846749305725},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6453825235366821},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6437619924545288},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5874231457710266},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5738162398338318},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5328671932220459},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.515175461769104},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.500565767288208},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.4884151816368103},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4883250892162323},{"id":"https://openalex.org/C16023879","wikidata":"https://www.wikidata.org/wiki/Q1023599","display_name":"CHAID","level":3,"score":0.43145808577537537},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41637158393859863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30188095569610596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00607-021-00908-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00607-021-00908-y","pdf_url":null,"source":{"id":"https://openalex.org/S35593046","display_name":"Computing","issn_l":"0010-485X","issn":["0010-485X","1436-5057"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W77062529","https://openalex.org/W126100224","https://openalex.org/W129830436","https://openalex.org/W172260869","https://openalex.org/W1535056464","https://openalex.org/W1597044562","https://openalex.org/W1680540421","https://openalex.org/W1796635887","https://openalex.org/W1966021193","https://openalex.org/W1973004077","https://openalex.org/W1989450878","https://openalex.org/W1990788070","https://openalex.org/W1997919326","https://openalex.org/W2032770670","https://openalex.org/W2052066790","https://openalex.org/W2053193751","https://openalex.org/W2061670499","https://openalex.org/W2061798849","https://openalex.org/W2067594023","https://openalex.org/W2069300565","https://openalex.org/W2074780813","https://openalex.org/W2099336464","https://openalex.org/W2106096310","https://openalex.org/W2116282591","https://openalex.org/W2119051895","https://openalex.org/W2136604560","https://openalex.org/W2140190241","https://openalex.org/W2141975087","https://openalex.org/W2158698691","https://openalex.org/W2171921035","https://openalex.org/W2186413411","https://openalex.org/W2204900049","https://openalex.org/W2338342538","https://openalex.org/W2490017371","https://openalex.org/W2550931137","https://openalex.org/W2555219891","https://openalex.org/W2709322920","https://openalex.org/W2783574424","https://openalex.org/W2790137849","https://openalex.org/W2920795615","https://openalex.org/W2939289155","https://openalex.org/W2990177142","https://openalex.org/W3105384985","https://openalex.org/W4247922705","https://openalex.org/W4285719527","https://openalex.org/W4406406874"],"related_works":["https://openalex.org/W2751143443","https://openalex.org/W4280583451","https://openalex.org/W4224212887","https://openalex.org/W1561625256","https://openalex.org/W2100523380","https://openalex.org/W4236800443","https://openalex.org/W2019678805","https://openalex.org/W1907816360","https://openalex.org/W2080355854","https://openalex.org/W2388825802"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":57},{"year":2024,"cited_by_count":85},{"year":2023,"cited_by_count":93},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}