{"id":"https://openalex.org/W2561604682","doi":"https://doi.org/10.5815/ijeme.2017.01.04","title":"Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics","display_name":"Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics","publication_year":2016,"publication_date":"2016-12-30","ids":{"openalex":"https://openalex.org/W2561604682","doi":"https://doi.org/10.5815/ijeme.2017.01.04","mag":"2561604682"},"language":"en","primary_location":{"id":"doi:10.5815/ijeme.2017.01.04","doi":"https://doi.org/10.5815/ijeme.2017.01.04","is_oa":true,"landing_page_url":"https://doi.org/10.5815/ijeme.2017.01.04","pdf_url":"http://www.mecs-press.org/ijeme/ijeme-v7-n1/IJEME-V7-N1-4.pdf","source":{"id":"https://openalex.org/S4210185204","display_name":"International Journal of Education and Management Engineering","issn_l":"2305-3623","issn":["2305-3623","2305-8463"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Education and Management Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mecs-press.org/ijeme/ijeme-v7-n1/IJEME-V7-N1-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Engineer- Product Development, Mahindra Comviva, Gurgaon- 122001, Haryana, India","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Engineer- Product Development, Mahindra Comviva, Gurgaon- 122001, Haryana, India","raw_affiliation_strings":["Engineer-Product Development, Mahindra Comviva, Gurgaon-122001, Haryana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineer-Product Development, Mahindra Comviva, Gurgaon-122001, Haryana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Inderpreet Singh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Inderpreet Singh","raw_affiliation_strings":["Engineer-Product Development , Mahindra Comviva , Gurgaon- 122001 , Haryana , India","Computer Science and Engineering Department, Thapar University-147001, Patiala, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineer-Product Development , Mahindra Comviva , Gurgaon- 122001 , Haryana , India","institution_ids":[]},{"raw_affiliation_string":"Computer Science and Engineering Department, Thapar University-147001, Patiala, Punjab, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sukhpal Singh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukhpal Singh","raw_affiliation_strings":["Computer Science and Engineering Department , Thapar University- 147001 , Patiala , Punjab , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department , Thapar University- 147001 , Patiala , Punjab , India","institution_ids":["https://openalex.org/I162030827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5505,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95661267,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"1","first_page":"36","last_page":"45"},"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/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/T13812","display_name":"AI and HR Technologies","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":0.6309999823570251},{"id":"https://openalex.org/keywords/high-value-customers","display_name":"high-value customers","score":0.8899999856948853},{"id":"https://openalex.org/keywords/customer-segmentation","display_name":"customer segmentation","score":0.8100000023841858},{"id":"https://openalex.org/keywords/rfm-analysis","display_name":"RFM analysis","score":0.9940000176429749},{"id":"https://openalex.org/keywords/telecom-customers","display_name":"telecom customers","score":0.5789999961853027},{"id":"https://openalex.org/keywords/big-data-analytics","display_name":"big data analytics","score":0.8330000042915344},{"id":"https://openalex.org/keywords/consumer-behavior","display_name":"consumer behavior","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.8142800331115723},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6116871237754822},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5833475589752197},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.5745689272880554},{"id":"https://openalex.org/C130721881","wikidata":"https://www.wikidata.org/wiki/Q1146253","display_name":"Customer lifetime value","level":5,"score":0.5401960611343384},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5169762372970581},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5080616474151611},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3914961516857147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3407137393951416},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.2880789041519165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.204116553068161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1338733434677124},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10008582472801208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5815/ijeme.2017.01.04","doi":"https://doi.org/10.5815/ijeme.2017.01.04","is_oa":true,"landing_page_url":"https://doi.org/10.5815/ijeme.2017.01.04","pdf_url":"http://www.mecs-press.org/ijeme/ijeme-v7-n1/IJEME-V7-N1-4.pdf","source":{"id":"https://openalex.org/S4210185204","display_name":"International Journal of Education and Management Engineering","issn_l":"2305-3623","issn":["2305-3623","2305-8463"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Education and Management Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5815/ijeme.2017.01.04","doi":"https://doi.org/10.5815/ijeme.2017.01.04","is_oa":true,"landing_page_url":"https://doi.org/10.5815/ijeme.2017.01.04","pdf_url":"http://www.mecs-press.org/ijeme/ijeme-v7-n1/IJEME-V7-N1-4.pdf","source":{"id":"https://openalex.org/S4210185204","display_name":"International Journal of Education and Management Engineering","issn_l":"2305-3623","issn":["2305-3623","2305-8463"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Education and Management Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2561604682.pdf","grobid_xml":"https://content.openalex.org/works/W2561604682.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1481956422","https://openalex.org/W1892750460","https://openalex.org/W1987760918","https://openalex.org/W2008506200","https://openalex.org/W2035738188","https://openalex.org/W2037163971","https://openalex.org/W2048623174","https://openalex.org/W2161634631","https://openalex.org/W2253601941","https://openalex.org/W2271438412","https://openalex.org/W2287422636","https://openalex.org/W2474538903","https://openalex.org/W2544434478","https://openalex.org/W6602600155","https://openalex.org/W6683637927"],"related_works":["https://openalex.org/W3014885890","https://openalex.org/W2965169528","https://openalex.org/W4391437050","https://openalex.org/W2373086271","https://openalex.org/W2780523465","https://openalex.org/W3043997266","https://openalex.org/W3030211462","https://openalex.org/W4384932928","https://openalex.org/W4387317961","https://openalex.org/W2051880516"],"abstract_inverted_index":{"Since":[0],"the":[1,37,40,56],"more":[2],"importance":[3],"is":[4],"played":[5],"on":[6,19,29,77,94],"customer's":[7,20],"behavior":[8],"in":[9,42,86],"today's":[10],"business":[11],"market,":[12],"telecom":[13,58],"companies":[14],"are":[15,75,89],"not":[16],"only":[17],"focusing":[18],"profitability":[21,54],"to":[22,47],"increase":[23,51],"their":[24,30,97],"market":[25],"share":[26],"but":[27],"also":[28],"potential":[31,71],"churn":[32,72],"customers":[33,69,74,85],"who":[34],"could":[35],"terminate":[36],"relation":[38],"with":[39],"company":[41],"near":[43],"future.Big":[44],"data":[45],"promises":[46],"promote":[48],"growth":[49],"and":[50,53,70,83],"efficiency":[52],"across":[55],"entire":[57],"value":[59,68],"chain.This":[60],"paper":[61],"presents":[62],"a":[63],"framework":[64],"for":[65],"targeting":[66],"high":[67],"customers.Firstly,":[73],"segmented":[76],"basis":[78,95],"of":[79,96],"RFM":[80],"(Recency-Frequency-Monetary)":[81],"analysis":[82],"finally":[84],"each":[87],"segment":[88],"targeted":[90],"by":[91],"various":[92],"offers":[93],"similar":[98],"characteristics.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2017-01-06T00:00:00"}
