{"id":"https://openalex.org/W2127199396","doi":"https://doi.org/10.1109/icsssm.2007.4280145","title":"Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service","display_name":"Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2127199396","doi":"https://doi.org/10.1109/icsssm.2007.4280145","mag":"2127199396"},"language":"en","primary_location":{"id":"doi:10.1109/icsssm.2007.4280145","doi":"https://doi.org/10.1109/icsssm.2007.4280145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsssm.2007.4280145","pdf_url":null,"source":{"id":"https://openalex.org/S4306419818","display_name":"International Conference on Service Systems and Service Management","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Conference on Service Systems and Service Management","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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":null,"display_name":"Luo Bin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luo Bin","raw_affiliation_strings":["School of Management, University of Electronic Science and Technology, Chengdu, China","Univ. of Electron. Sci. & Technol. of China, Chengdu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Univ. of Electron. Sci. & Technol. of China, Chengdu","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shao Peiji","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao Peiji","raw_affiliation_strings":["School of Management, University of Electronic Science and Technology, Chengdu, China","School of Management, University of Electronic Science and Technology of China, Chengdu, 610054, China. shaopj@uestc.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Management, University of Electronic Science and Technology of China, Chengdu, 610054, China. shaopj@uestc.edu.cn","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058554811","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0002-2848-7928","observed_orcids":["https://orcid.org/0000-0002-2848-7928"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Juan","raw_affiliation_strings":["School of Management, University of Electronic Science and Technology, Chengdu, China","School of Management, University of Electronic Science and Technology of China, Chengdu, 610054, China. Liujuan_lili@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Management, University of Electronic Science and Technology of China, Chengdu, 610054, China. Liujuan_lili@163.com","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":25.7389,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.99879518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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-prediction","display_name":"customer churn prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.8209999799728394},{"id":"https://openalex.org/keywords/customer-retention","display_name":"customer retention","score":0.7730000019073486},{"id":"https://openalex.org/keywords/telecommunications-services","display_name":"telecommunications services","score":0.7559999823570251},{"id":"https://openalex.org/keywords/misclassification-cost","display_name":"misclassification cost","score":0.9309999942779541},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.6269999742507935},{"id":"https://openalex.org/keywords/training-sample-selection","display_name":"training data selection","score":0.6290000081062317},{"id":"https://openalex.org/keywords/model-parameter-optimization","display_name":"model parameter optimization","score":0.5550000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059168815612793},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6868883371353149},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6379625797271729},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5513279438018799},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.4903578758239746},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.48124954104423523},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.46698302030563354},{"id":"https://openalex.org/C33271190","wikidata":"https://www.wikidata.org/wiki/Q3467747","display_name":"Telecommunications service","level":2,"score":0.46509113907814026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45968979597091675},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43858981132507324},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4285479784011841},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.41090816259384155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3375406265258789},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.16437387466430664},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15601381659507751},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14656385779380798},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1370881199836731},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsssm.2007.4280145","doi":"https://doi.org/10.1109/icsssm.2007.4280145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsssm.2007.4280145","pdf_url":null,"source":{"id":"https://openalex.org/S4306419818","display_name":"International Conference on Service Systems and Service Management","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Conference on Service Systems and Service Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W97976214","https://openalex.org/W1606231665","https://openalex.org/W1965825532","https://openalex.org/W1976584200","https://openalex.org/W1999693229","https://openalex.org/W2027105725","https://openalex.org/W2032770670","https://openalex.org/W2048327529","https://openalex.org/W2069300565","https://openalex.org/W2076313627","https://openalex.org/W2093598546","https://openalex.org/W2099336464","https://openalex.org/W2123297756","https://openalex.org/W2142193462","https://openalex.org/W2142752589","https://openalex.org/W2161634631"],"related_works":["https://openalex.org/W3173174980","https://openalex.org/W2139851018","https://openalex.org/W2922747159","https://openalex.org/W2908963181","https://openalex.org/W2987750920","https://openalex.org/W4387895376","https://openalex.org/W7118395244","https://openalex.org/W2348020141","https://openalex.org/W7061245514","https://openalex.org/W4293791119"],"abstract_inverted_index":{"Nowadays,":[0],"churn":[1,71,86,104,153,199],"prediction":[2,101,200],"and":[3,9,16,63,68,128,167,172,177,189,202],"management":[4],"is":[5,111,186,192],"critical":[6],"for":[7,78,91,132],"more":[8,10],"companies":[11,28],"in":[12,85],"the":[13,49,100,140,161,170,180],"fast":[14],"changing":[15,82,88],"strongly":[17],"competitive":[18],"telecommunication":[19,27],"market.":[20],"In":[21,44],"order":[22],"to":[23,32,40,47,64,98],"improve":[24,99],"customer":[25,70,152],"retention,":[26],"must":[29],"be":[30],"able":[31],"predict":[33],"customers":[34,56,185],"at":[35],"risk":[36],"who":[37],"are":[38,95,137,175],"prone":[39],"switch":[41],"service":[42],"provider.":[43],"this":[45],"study,":[46],"overcome":[48],"limitations":[50],"of":[51,53,55,57,103,119,135,142,163,184],"lack":[52],"information":[54,183],"Personal":[58],"Handyphone":[59],"System":[60],"Service":[61],"(PHSS)":[62],"build":[65],"an":[66],"effective":[67,176],"accurate":[69],"model,":[72,87],"three":[73,143],"research":[74,144,201],"experimentations":[75],"(changing":[76],"sub-periods":[77],"training":[79,92],"data":[80,93,207],"sets,":[81],"misclassification":[83,124],"cost":[84,125],"sample":[89,130],"methods":[90,171],"sets)":[94],"put":[96],"forward":[97],"performance":[102,159],"model":[105,164],"by":[106],"using":[107],"decision":[108],"tree":[109],"which":[110],"used":[112],"widely,":[113],"some":[114],"optimal":[115],"parameters":[116],"(the":[117],"time":[118],"sub-period":[120],"being":[121,126],"10":[122],"days,":[123],"1:5,":[127],"random":[129],"method":[131],"train":[133],"set)":[134],"models":[136,154],"found":[138],"under":[139,179],"help":[141],"experimentations.":[145],"The":[146],"empirical":[147],"evaluation":[148],"results":[149],"suggest":[150],"that":[151,169,182],"built":[155],"have":[156],"a":[157],"good":[158],"through":[160],"course":[162],"optical":[165],"selecting,":[166],"show":[168],"techniques":[173],"proposed":[174],"feasible":[178],"condition":[181],"very":[187],"little":[188],"class":[190],"distribution":[191],"skewed.":[193],"This":[194],"study":[195],"benefits":[196],"not":[197],"only":[198],"practice":[203],"but":[204],"also":[205],"other":[206],"mining":[208],"applications":[209],"with":[210],"similar":[211],"characteristics.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
