{"id":"https://openalex.org/W2143920164","doi":null,"title":"Customer Churn Prediction, Segmentation and Fraud Detection in Telecommunication Industry","display_name":"Customer Churn Prediction, Segmentation and Fraud Detection in Telecommunication Industry","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2143920164","mag":"2143920164"},"language":"en","primary_location":{"id":"mag:2143920164","doi":null,"is_oa":false,"landing_page_url":"http://www.ase360.org/handle/123456789/167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ahsan Ur Rehman","orcid":"https://orcid.org/0000-0001-6828-9064","observed_orcids":["https://orcid.org/0000-0001-6828-9064"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahsan Ur Rehman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6828-9064","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065688744","display_name":"Abbas Raza Ali","orcid":"https://orcid.org/0000-0003-0505-2638","observed_orcids":["https://orcid.org/0000-0003-0505-2638"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abbas Raza Ali","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0505-2638","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057787715","display_name":"Ibm Pakistan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ibm Pakistan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1695,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93291718,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"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":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/T10154","display_name":"Customer Service Quality and Loyalty","score":0.0,"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/T11122","display_name":"Online Learning and Analytics","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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-churn-prediction","display_name":"customer churn prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/customer-segmentation","display_name":"customer segmentation","score":0.9860000014305115},{"id":"https://openalex.org/keywords/fraud-detection","display_name":"fraud detection","score":0.8360000252723694},{"id":"https://openalex.org/keywords/telecommunications-industry","display_name":"telecommunications industry","score":0.9150000214576721},{"id":"https://openalex.org/keywords/customer-retention","display_name":"customer retention","score":0.9390000104904175},{"id":"https://openalex.org/keywords/key-performance-indicators","display_name":"key performance indicators","score":0.9819999933242798},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"social network analysis","score":0.996999979019165},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.7239999771118164}],"concepts":[{"id":"https://openalex.org/C2777276756","wikidata":"https://www.wikidata.org/wiki/Q5196446","display_name":"Customer base","level":2,"score":0.6440615653991699},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5695655345916748},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5571006536483765},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.5381811857223511},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.522406816482544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4907749593257904},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4681285619735718},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.4659372866153717},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.4650017023086548},{"id":"https://openalex.org/C33271190","wikidata":"https://www.wikidata.org/wiki/Q3467747","display_name":"Telecommunications service","level":2,"score":0.46275660395622253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4285883605480194},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4172399640083313},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2874016761779785},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.25315266847610474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20567545294761658},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.201887309551239},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2143920164","doi":null,"is_oa":false,"landing_page_url":"http://www.ase360.org/handle/123456789/167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W47923795","https://openalex.org/W135530680","https://openalex.org/W1861896542","https://openalex.org/W1966021193","https://openalex.org/W1987971958","https://openalex.org/W1990788070","https://openalex.org/W1999349314","https://openalex.org/W2056614917","https://openalex.org/W2059089556","https://openalex.org/W2095897464","https://openalex.org/W2121663238","https://openalex.org/W2131123062","https://openalex.org/W2140547261","https://openalex.org/W2167312400","https://openalex.org/W2168723696","https://openalex.org/W2325129951","https://openalex.org/W2978337448"],"related_works":["https://openalex.org/W4220882755","https://openalex.org/W3012817390","https://openalex.org/W2609959899","https://openalex.org/W2801949062","https://openalex.org/W4387607666","https://openalex.org/W6903824891","https://openalex.org/W2967661687","https://openalex.org/W2016577148","https://openalex.org/W3081135669","https://openalex.org/W3010430441"],"abstract_inverted_index":{"Every":[0],"telecommunication":[1],"market":[2],"player":[3],"is":[4],"launching":[5],"innovative":[6],"business":[7],"models":[8],"and":[9,38,66],"offering":[10],"better":[11],"services":[12],"which":[13,112],"in":[14,36],"turn":[15],"have":[16,106],"increased":[17],"the":[18,24,56,62,92,96,118],"cost":[19],"of":[20,26,40,55,64],"retaining":[21],"customers.":[22],"Realizing":[23],"importance":[25],"customer":[27,41,67],"retention,":[28],"service":[29],"providers":[30],"are":[31],"now":[32],"putting":[33],"more":[34],"efforts":[35],"prediction":[37],"prevention":[39],"churn.":[42],"This":[43],"work":[44],"being":[45],"divided":[46],"into":[47],"two":[48,78],"phases,":[49],"with":[50],"phase":[51,77,79],"one":[52],"presenting":[53],"some":[54],"commonly":[57],"used":[58],"data-mining":[59],"techniques":[60],"for":[61],"identification":[63],"churners":[65],"segmentation":[68],"based":[69],"on":[70],"various":[71],"Key":[72],"Performance":[73],"Indicators":[74],"(KPIs).":[75],"While":[76],"discusses":[80],"how":[81],"social":[82,119],"network":[83,120],"analysis":[84,121],"extracts":[85],"relationships":[86],"between":[87],"different":[88],"subscribers":[89],"to":[90],"improve":[91],"results":[93,105],"produced":[94],"by":[95,116],"traditional":[97],"learning":[98],"algorithms":[99],"at":[100],"individual":[101],"subscriber":[102],"level.":[103],"Satisfactory":[104],"been":[107],"achieved":[108],"from":[109],"Base":[110],"model":[111],"were":[113],"significantly":[114],"enhanced":[115],"applying":[117],"technique.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}