{"id":"https://openalex.org/W3082154094","doi":"https://doi.org/10.1007/s11042-020-09658-z","title":"Applying over 100 classifiers for churn prediction in telecom companies","display_name":"Applying over 100 classifiers for churn prediction in telecom companies","publication_year":2020,"publication_date":"2020-08-26","ids":{"openalex":"https://openalex.org/W3082154094","doi":"https://doi.org/10.1007/s11042-020-09658-z","mag":"3082154094"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-020-09658-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-020-09658-z","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5041428873","display_name":"Debjyoti Das Adhikary","orcid":"https://orcid.org/0009-0004-3086-4501"},"institutions":[{"id":"https://openalex.org/I57496824","display_name":"National Institute of Technology Arunachal Pradesh","ror":"https://ror.org/020cr8c43","country_code":"IN","type":"education","lineage":["https://openalex.org/I57496824"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Debjyoti Das Adhikary","raw_affiliation_strings":["Department of Computer Science & Engineering, National Institute of Technology, Yupia, Arunachal Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, National Institute of Technology, Yupia, Arunachal Pradesh, India","institution_ids":["https://openalex.org/I57496824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010044286","display_name":"Deepak Gupta","orcid":"https://orcid.org/0000-0002-6375-8615"},"institutions":[{"id":"https://openalex.org/I57496824","display_name":"National Institute of Technology Arunachal Pradesh","ror":"https://ror.org/020cr8c43","country_code":"IN","type":"education","lineage":["https://openalex.org/I57496824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Gupta","raw_affiliation_strings":["Department of Computer Science & Engineering, National Institute of Technology, Yupia, Arunachal Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, National Institute of Technology, Yupia, Arunachal Pradesh, India","institution_ids":["https://openalex.org/I57496824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041428873"],"corresponding_institution_ids":["https://openalex.org/I57496824"],"apc_list":null,"apc_paid":null,"fwci":5.244,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95220071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"80","issue":"28-29","first_page":"35123","last_page":"35144"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9860000014305115,"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":0.9643999934196472,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8439459800720215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7927254438400269},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7703129053115845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7070715427398682},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6766868829727173},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5334729552268982},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5310877561569214},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.5245335698127747},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4954134225845337},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.49202796816825867},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3626486659049988},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3218112587928772},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10783267021179199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439459800720215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7927254438400269},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7703129053115845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7070715427398682},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6766868829727173},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5334729552268982},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5310877561569214},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5245335698127747},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4954134225845337},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.49202796816825867},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3626486659049988},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3218112587928772},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10783267021179199},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-020-09658-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-020-09658-z","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W150135932","https://openalex.org/W1481507845","https://openalex.org/W1504224889","https://openalex.org/W1512098439","https://openalex.org/W1528113134","https://openalex.org/W1535056464","https://openalex.org/W1557245913","https://openalex.org/W1559060276","https://openalex.org/W1562345870","https://openalex.org/W1570448133","https://openalex.org/W1582036668","https://openalex.org/W1598333443","https://openalex.org/W1630964756","https://openalex.org/W1670263352","https://openalex.org/W1679846099","https://openalex.org/W1912123407","https://openalex.org/W1976186848","https://openalex.org/W1989450878","https://openalex.org/W1997855593","https://openalex.org/W2012638612","https://openalex.org/W2019184604","https://openalex.org/W2040082158","https://openalex.org/W2042042193","https://openalex.org/W2044188317","https://openalex.org/W2049292654","https://openalex.org/W2061798849","https://openalex.org/W2074780813","https://openalex.org/W2080460674","https://openalex.org/W2090089568","https://openalex.org/W2106393550","https://openalex.org/W2106525823","https://openalex.org/W2106817624","https://openalex.org/W2107641306","https://openalex.org/W2108949035","https://openalex.org/W2118585731","https://openalex.org/W2124868070","https://openalex.org/W2125055259","https://openalex.org/W2132166479","https://openalex.org/W2134473739","https://openalex.org/W2134603844","https://openalex.org/W2147169507","https://openalex.org/W2148603752","https://openalex.org/W2150757437","https://openalex.org/W2153635508","https://openalex.org/W2170860445","https://openalex.org/W2171665309","https://openalex.org/W2232821992","https://openalex.org/W2259870775","https://openalex.org/W2487087946","https://openalex.org/W2520782533","https://openalex.org/W2564406132","https://openalex.org/W2582743722","https://openalex.org/W2795562373","https://openalex.org/W2810965170","https://openalex.org/W2912934387","https://openalex.org/W2913712386","https://openalex.org/W2915184413","https://openalex.org/W2918619047","https://openalex.org/W2922129458","https://openalex.org/W2964401628","https://openalex.org/W2969377063","https://openalex.org/W2999592897","https://openalex.org/W3026072590","https://openalex.org/W3120421331","https://openalex.org/W6634918176"],"related_works":["https://openalex.org/W2889302474","https://openalex.org/W2570647323","https://openalex.org/W2206805568","https://openalex.org/W2076942471","https://openalex.org/W3191198889","https://openalex.org/W2863268765","https://openalex.org/W3027285423","https://openalex.org/W2896245927","https://openalex.org/W4205879366","https://openalex.org/W1961101704"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}