{"id":"https://openalex.org/W2580318214","doi":"https://doi.org/10.1109/icdim.2016.7829775","title":"Churn perdiction in the telecom business","display_name":"Churn perdiction in the telecom business","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2580318214","doi":"https://doi.org/10.1109/icdim.2016.7829775","mag":"2580318214"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2016.7829775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2016.7829775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","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/A5031496354","display_name":"Georgina Esteves","orcid":null},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Georgina Esteves","raw_affiliation_strings":["Department of Informatics Engineering, University of Porto, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028638153","display_name":"Jo\u00e3o Mendes\u2010Moreira","orcid":"https://orcid.org/0000-0002-2471-2833"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Mendes-Moreira","raw_affiliation_strings":["LIAAD-INESC TEC, University of Porto, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"LIAAD-INESC TEC, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031496354"],"corresponding_institution_ids":["https://openalex.org/I182534213"],"apc_list":null,"apc_paid":null,"fwci":1.0371,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86260956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9948999881744385,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9854999780654907,"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/computer-science","display_name":"Computer science","score":0.6374302506446838},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.6342869997024536},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.6062309741973877},{"id":"https://openalex.org/keywords/customer-satisfaction","display_name":"Customer satisfaction","score":0.537408173084259},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5238330960273743},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4622575640678406},{"id":"https://openalex.org/keywords/telecommunications-service","display_name":"Telecommunications service","score":0.4180278778076172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27008068561553955},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22314783930778503},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2055438756942749},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11768215894699097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374302506446838},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6342869997024536},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.6062309741973877},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.537408173084259},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5238330960273743},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4622575640678406},{"id":"https://openalex.org/C33271190","wikidata":"https://www.wikidata.org/wiki/Q3467747","display_name":"Telecommunications service","level":2,"score":0.4180278778076172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27008068561553955},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22314783930778503},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2055438756942749},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11768215894699097},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2016.7829775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2016.7829775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1597044562","https://openalex.org/W1831050183","https://openalex.org/W1966021193","https://openalex.org/W1989049108","https://openalex.org/W1995026436","https://openalex.org/W2016944307","https://openalex.org/W2029876747","https://openalex.org/W2048755952","https://openalex.org/W2080386918","https://openalex.org/W2106525823","https://openalex.org/W2136806966","https://openalex.org/W2142193462","https://openalex.org/W2142827986","https://openalex.org/W2148143831","https://openalex.org/W2170832568","https://openalex.org/W2204900049","https://openalex.org/W2998768810","https://openalex.org/W3125632548"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W3036529732","https://openalex.org/W4382052559"],"abstract_inverted_index":{"Telecommunication":[0],"companies":[1],"are":[2,66,118,124],"acknowledging":[3],"the":[4,63,97,104,134,145,150],"existing":[5],"connection":[6],"between":[7],"customer":[8,20,44],"satisfaction":[9],"and":[10,84,107,128],"company":[11],"revenues.":[12],"Customer":[13],"churn":[14],"in":[15,30,148],"telecom":[16,31,71],"refers":[17],"to":[18,68,112,121,133,143],"a":[19,26,43,50],"that":[21,41,48,61,103],"ceases":[22],"his":[23],"relationship":[24],"with":[25,130],"company.":[27],"Churn":[28],"prediction":[29],"has":[32],"recently":[33],"gained":[34],"substantial":[35],"interest":[36],"of":[37,88],"stakeholders,":[38],"who":[39,65],"noticed":[40],"retaining":[42],"is":[45],"substantially":[46],"cheaper":[47],"gaining":[49],"new":[51],"one.":[52],"This":[53],"research":[54],"compares":[55],"six":[56],"approaches":[57],"using":[58],"different":[59],"algorithms":[60,74],"identify":[62],"clients":[64],"closer":[67],"abandon":[69],"their":[70],"provider.":[72],"Those":[73],"are:":[75],"KNN,":[76],"Naive":[77],"Bayes,":[78],"C4.5,":[79],"Random":[80,139],"Forest,":[81],"Ada":[82],"Boost":[83],"ANN.":[85],"The":[86,116,138],"use":[87],"real":[89,113],"data":[90],"provided":[91],"by":[92],"We":[93],"Do":[94],"technologies":[95],"extended":[96],"refinement":[98],"time":[99],"necessary,":[100],"but":[101],"ensured":[102],"developed":[105],"algorithm":[106,141],"model":[108],"can":[109],"be":[110,144],"applied":[111],"world":[114],"situations.":[115],"models":[117],"evaluated":[119],"according":[120],"three":[122],"criteria:":[123],"under":[125],"curve,":[126],"sensitivity":[127],"specificity,":[129],"special":[131],"weight":[132],"first":[135],"two":[136],"criteria.":[137],"Forest":[140],"proved":[142],"most":[146],"adequate":[147],"all":[149],"test":[151],"cases.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
