{"id":"https://openalex.org/W97976214","doi":null,"title":"Data Mining Techniques on the Evaluation of Wireless Churn","display_name":"Data Mining Techniques on the Evaluation of Wireless Churn","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W97976214","mag":"97976214"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.71.6675","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.6675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2004-23.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5104366243","display_name":"Jorge Ferreira","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge Ferreira","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085598532","display_name":"Marley M. B. R. Vellasco","orcid":"https://orcid.org/0000-0002-9790-1328","observed_orcids":["https://orcid.org/0000-0002-9790-1328"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marley Vellasco","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9790-1328","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091743378","display_name":"Marco Aur\u00e9lio C. Pacheco","orcid":"https://orcid.org/0000-0002-2381-0183","observed_orcids":["https://orcid.org/0000-0002-2381-0183"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Aur\u00e9lio C. Pacheco","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2381-0183","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030941940","display_name":"Carlos Roberto Hall Barbosa","orcid":"https://orcid.org/0000-0003-0753-9044","observed_orcids":["https://orcid.org/0000-0003-0753-9044"]},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos Roberto Hall Barbosa","raw_affiliation_strings":["[Pontifical Catholic University of Rio de Janeiro]"],"raw_orcid":"https://orcid.org/0000-0003-0753-9044","affiliations":[{"raw_affiliation_string":"[Pontifical Catholic University of Rio de Janeiro]","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.6594,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96630143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"488"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-churn","display_name":"customer churn","score":0.8399999737739563},{"id":"https://openalex.org/keywords/wireless-communication","display_name":"wireless communication","score":0.8539999723434448},{"id":"https://openalex.org/keywords/subscriber-retention","display_name":"subscriber retention","score":0.7519999742507935},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.6389999985694885},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.5989999771118164},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9890000224113464},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.8980000019073486},{"id":"https://openalex.org/keywords/fuzzy-neural-network","display_name":"fuzzy neural network","score":0.9959999918937683},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7289999723434448},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.5139999985694885},{"id":"https://openalex.org/keywords/telecommunications-companies","display_name":"telecommunications companies","score":0.3100000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739444971084595},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5566980242729187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.514672577381134},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5025789737701416},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4958737790584564},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.49036478996276855},{"id":"https://openalex.org/C2777402642","wikidata":"https://www.wikidata.org/wiki/Q2557224","display_name":"Explanatory power","level":2,"score":0.46835413575172424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4550507962703705},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.440021812915802},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4376477003097534},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4233516454696655},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4193532466888428},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4169352650642395},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4153093695640564},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37502872943878174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3453139662742615},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2074992060661316},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.71.6675","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.6675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2004-23.pdf","raw_type":"text"},{"id":"mag:97976214","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/esann/esann2004.html#FerreiraVPB04","pdf_url":null,"source":{"id":"https://openalex.org/S4306421047","display_name":"The European Symposium on Artificial Neural Networks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The European Symposium on Artificial Neural Networks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1657646951","https://openalex.org/W2104187566","https://openalex.org/W2128420091","https://openalex.org/W2142752589","https://openalex.org/W2144336272"],"related_works":["https://openalex.org/W1972673352","https://openalex.org/W7098062585","https://openalex.org/W2142752589","https://openalex.org/W1609293968","https://openalex.org/W2908963181","https://openalex.org/W2161634631","https://openalex.org/W7099843375","https://openalex.org/W2106817624","https://openalex.org/W7096936414","https://openalex.org/W7099659753"],"abstract_inverted_index":{"Abstract.":[0],"This":[1],"work":[2],"focuses":[3],"on":[4],"one":[5],"of":[6,20,70,97,108,111,139,147],"the":[7,13,18,50,95,98,103,130,137,140,144],"most":[8,99],"critical":[9],"issues":[10],"to":[11,24,36,48,53,61,85],"plague":[12],"wireless":[14,148],"telecommunications":[15],"industry":[16],"today:":[17],"loss":[19],"a":[21,25,71,75],"valuable":[22],"subscriber":[23],"competitor,":[26],"also":[27],"defined":[28],"as":[29],"churn.":[30,67],"Analytical":[31],"methods":[32,91],"and":[33,39,55,105,121,133],"models":[34,112],"intrinsic":[35],"decision":[37,117],"technology":[38],"machine":[40],"learning":[41],"are":[42],"here":[43],"evaluated,":[44],"in":[45,59,94,143],"an":[46],"effort":[47],"provide":[49],"necessary":[51],"intelligence":[52],"identify":[54],"understand":[56],"troublesome":[57],"customers":[58],"order":[60],"act":[62],"upon":[63,129],"them":[64],"before":[65],"they":[66],"Making":[68],"use":[69],"large":[72],"real-world":[73],"database,":[74],"thorough":[76],"analysis":[77],"is":[78,83,113,127],"performed.":[79],"First,":[80],"due":[81],"attention":[82],"given":[84],"data":[86],"representation,":[87],"with":[88],"input":[89],"selection":[90],"being":[92],"employed":[93],"search":[96],"relevant":[100],"attributes.":[101],"Then,":[102],"predictive":[104],"explanatory":[106],"power":[107],"four":[109],"families":[110],"compared:":[114],"neural":[115],"networks,":[116],"trees,":[118],"genetic":[119],"algorithms":[120],"neuro-fuzzy":[122],"systems.":[123],"To":[124],"conclude,":[125],"light":[126],"shed":[128],"possible":[131],"savings":[132],"profits":[134],"resulting":[135],"from":[136],"application":[138],"developed":[141],"methodology":[142],"retention":[145],"strategies":[146],"carriers.":[149],"1.":[150]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}