{"id":"https://openalex.org/W2724261747","doi":"https://doi.org/10.1007/978-3-319-62701-4_8","title":"Towards a Large Scale Practical Churn Model for Prepaid Mobile Markets","display_name":"Towards a Large Scale Practical Churn Model for Prepaid Mobile Markets","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2724261747","doi":"https://doi.org/10.1007/978-3-319-62701-4_8","mag":"2724261747"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-62701-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-62701-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5014800254","display_name":"Amit Kumar Meher","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amit Kumar Meher","raw_affiliation_strings":["R&D Department, Flytxt, Trivandrum, 695581, India"],"affiliations":[{"raw_affiliation_string":"R&D Department, Flytxt, Trivandrum, 695581, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060464364","display_name":"Jobin Wilson","orcid":"https://orcid.org/0000-0002-8923-0341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jobin Wilson","raw_affiliation_strings":["R&D Department, Flytxt, Trivandrum, 695581, India"],"affiliations":[{"raw_affiliation_string":"R&D Department, Flytxt, Trivandrum, 695581, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112553565","display_name":"R. Prashanth","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Prashanth","raw_affiliation_strings":["R&D Department, Flytxt, Trivandrum, 695581, India"],"affiliations":[{"raw_affiliation_string":"R&D Department, Flytxt, Trivandrum, 695581, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014800254"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.8715,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86695511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"106"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9909999966621399,"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":0.9864000082015991,"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":0.8284682035446167},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7272121906280518},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5097183585166931},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49950504302978516},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.4912840723991394},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4585359990596771},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4540274441242218},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.451777845621109},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.4344446659088135},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4215204417705536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3669055700302124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3514695167541504},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2819650173187256},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11731350421905518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284682035446167},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7272121906280518},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5097183585166931},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49950504302978516},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.4912840723991394},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4585359990596771},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4540274441242218},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.451777845621109},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4344446659088135},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4215204417705536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3669055700302124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3514695167541504},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2819650173187256},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11731350421905518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-62701-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-62701-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W74568976","https://openalex.org/W578462587","https://openalex.org/W1528905581","https://openalex.org/W1554663460","https://openalex.org/W1981276685","https://openalex.org/W1989450878","https://openalex.org/W1990788070","https://openalex.org/W2017337590","https://openalex.org/W2019335772","https://openalex.org/W2027860831","https://openalex.org/W2051725773","https://openalex.org/W2069300565","https://openalex.org/W2078704831","https://openalex.org/W2095696933","https://openalex.org/W2109722477","https://openalex.org/W2115357554","https://openalex.org/W2119821739","https://openalex.org/W2128420091","https://openalex.org/W2128728535","https://openalex.org/W2138906630","https://openalex.org/W2142193462","https://openalex.org/W2157124852","https://openalex.org/W2161634631","https://openalex.org/W2182884414","https://openalex.org/W2215636269","https://openalex.org/W2911964244","https://openalex.org/W2963288913","https://openalex.org/W2963891150","https://openalex.org/W2990138404","https://openalex.org/W4205686602","https://openalex.org/W4301861531","https://openalex.org/W6614148910"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W1995622179","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
