{"id":"https://openalex.org/W2525566874","doi":"https://doi.org/10.15439/2016f245","title":"Churn Detection and Prediction in Automotive Supply Industry","display_name":"Churn Detection and Prediction in Automotive Supply Industry","publication_year":2016,"publication_date":"2016-10-02","ids":{"openalex":"https://openalex.org/W2525566874","doi":"https://doi.org/10.15439/2016f245","mag":"2525566874"},"language":"en","primary_location":{"id":"doi:10.15439/2016f245","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f245","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/245.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2016/pliks/245.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039342653","display_name":"Hasan Can Karap\u0131nar","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Hasan Can Karap\u0131nar","raw_affiliation_strings":["Istanbul Technical University, Faculty of Management, 34357, Macka, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Faculty of Management, 34357, Macka, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004989544","display_name":"Ay\u00e7a Altay","orcid":"https://orcid.org/0000-0001-6066-5336"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ayca Altay","raw_affiliation_strings":["Istanbul Technical University, Faculty of Management, A304, 34357, Macka, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Faculty of Management, A304, 34357, Macka, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016511791","display_name":"G\u00fclg\u00fcn Kayakutlu","orcid":"https://orcid.org/0000-0001-8548-6377"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G\u00fclg\u00fcn Kayakutlu","raw_affiliation_strings":["Istanbul Technical University, Faculty of Management, B309, 34357, Macka, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Faculty of Management, B309, 34357, Macka, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039342653"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":1.1514,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78472222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"1349","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9997000098228455,"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":0.9997000098228455,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9872000217437744,"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":0.9811000227928162,"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/automotive-industry","display_name":"Automotive industry","score":0.8128185868263245},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7580316066741943},{"id":"https://openalex.org/keywords/competitor-analysis","display_name":"Competitor analysis","score":0.7516921758651733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6319109201431274},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4943058490753174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4691399931907654},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.4455283582210541},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42750081419944763},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.41433292627334595},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.4112526476383209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38191044330596924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37598592042922974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3339655101299286},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.178802490234375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1531587541103363},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.09049898386001587}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.8128185868263245},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7580316066741943},{"id":"https://openalex.org/C127576917","wikidata":"https://www.wikidata.org/wiki/Q624630","display_name":"Competitor analysis","level":2,"score":0.7516921758651733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319109201431274},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4943058490753174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4691399931907654},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.4455283582210541},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42750081419944763},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.41433292627334595},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.4112526476383209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38191044330596924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37598592042922974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3339655101299286},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.178802490234375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1531587541103363},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.09049898386001587},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15439/2016f245","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f245","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/245.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:bcbf1c65fe8840be884fd8db59c16506","is_oa":true,"landing_page_url":"https://doaj.org/article/bcbf1c65fe8840be884fd8db59c16506","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 8, Pp 1349-1354 (2016)","raw_type":"article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/58743","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/58743","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":{"id":"doi:10.15439/2016f245","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f245","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/245.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2525566874.pdf","grobid_xml":"https://content.openalex.org/works/W2525566874.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1622811911","https://openalex.org/W1680540421","https://openalex.org/W1898853929","https://openalex.org/W1966021193","https://openalex.org/W1987776546","https://openalex.org/W1989049108","https://openalex.org/W2026219386","https://openalex.org/W2048755952","https://openalex.org/W2061798849","https://openalex.org/W2065601393","https://openalex.org/W2069300565","https://openalex.org/W2074780813","https://openalex.org/W2115383008","https://openalex.org/W2127199396","https://openalex.org/W2136806966","https://openalex.org/W2138906630","https://openalex.org/W2140301981","https://openalex.org/W2149706766","https://openalex.org/W2543580944","https://openalex.org/W3124586027","https://openalex.org/W4236137412","https://openalex.org/W6637372486","https://openalex.org/W6646911340"],"related_works":["https://openalex.org/W2358804928","https://openalex.org/W4225710828","https://openalex.org/W1998528887","https://openalex.org/W2965538880","https://openalex.org/W2143282039","https://openalex.org/W2528370785","https://openalex.org/W4200335562","https://openalex.org/W2861933770","https://openalex.org/W2361145238","https://openalex.org/W2371267447"],"abstract_inverted_index":{"Companies":[0],"have":[1],"both":[2,81,135],"large":[3],"certified":[4],"enterprises":[5],"and":[6,29,47,56,66,83],"small":[7],"unauthorized":[8],"service":[9],"providers":[10],"as":[11],"their":[12],"competitors":[13],"in":[14,65],"the":[15,63,68,74,127,139,146],"automotive":[16,75],"supply":[17,76],"industry.":[18,77],"As":[19],"technology":[20],"related":[21],"industries":[22],"undergo":[23],"more":[24],"intensive":[25],"competition,":[26],"churn":[27,42,64,128,147],"detection":[28,43,148],"prediction":[30],"become":[31],"essential":[32],"to":[33,61],"be":[34,101],"precautious":[35],"about":[36],"leaving":[37],"customers.":[38],"The":[39,78],"literature":[40],"for":[41,73,122,126,142],"offers":[44],"numerous":[45],"statistical":[46],"intelligent":[48],"methods.":[49],"In":[50,95],"this":[51,96],"study,":[52],"Artificial":[53],"Neural":[54],"Networks":[55],"Decision":[57,93,143],"Trees":[58,144],"are":[59,113,137],"applied":[60],"detect":[62],"analyze":[67],"validity":[69],"of":[70],"these":[71],"methods":[72],"problem":[79,129],"involves":[80],"categorical":[82,105],"continuous":[84,98],"numerical":[85],"decision":[86],"inputs":[87,99],"which":[88,112],"cannot":[89],"simultaneously":[90],"fed":[91],"into":[92,103,109],"Trees.":[94],"case,":[97],"should":[100],"divided":[102],"binary":[104],"ones":[106],"by":[107],"splitting":[108],"various":[110],"intervals":[111],"called":[114],"buckets.":[115],"Particle":[116],"Swarm":[117],"Optimization":[118],"algorithm":[119],"is":[120],"implemented":[121],"finding":[123],"optimal":[124],"buckets":[125],"data.":[130],"Results":[131],"indicate":[132],"that":[133],"while":[134],"algorithms":[136],"promising,":[138],"bucket":[140],"tuning":[141],"complicate":[145],"process.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}