{"id":"https://openalex.org/W2161575145","doi":"https://doi.org/10.1109/icdmw.2006.154","title":"The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example","display_name":"The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2161575145","doi":"https://doi.org/10.1109/icdmw.2006.154","mag":"2161575145"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw.2006.154","doi":"https://doi.org/10.1109/icdmw.2006.154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2006.154","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5041512878","display_name":"Guangli Nie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangli Nie","raw_affiliation_strings":["Research Center on Data Technology and Knowledge Economy, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center on Data Technology and Knowledge Economy, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384159","display_name":"Lingling Zhang","orcid":"https://orcid.org/0000-0003-1405-0992","observed_orcids":["https://orcid.org/0000-0003-1405-0992"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Zhang","raw_affiliation_strings":["Research Center on Data Technology and Knowledge Economy, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center on Data Technology and Knowledge Economy, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031444823","display_name":"Xingsen Li","orcid":"https://orcid.org/0000-0001-6591-7432","observed_orcids":["https://orcid.org/0000-0001-6591-7432"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingsen Li","raw_affiliation_strings":["Research Center on Data Technology and Knowledge Economy, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center on Data Technology and Knowledge Economy, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079","observed_orcids":["https://orcid.org/0000-0001-7974-1079","https://orcid.org/0000-0002-3980-1425","https://orcid.org/0009-0003-6037-6309"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Research Center on Data Technology and Knowledge Economy, Graduate School of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center on Data Technology and Knowledge Economy, Graduate School of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":3.737,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90972222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"5","issue":null,"first_page":"843","last_page":"847"},"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-churn-prediction","display_name":"customer churn prediction","score":0.8309999704360962},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.7250000238418579},{"id":"https://openalex.org/keywords/customer-relationship-management","display_name":"customer relationship management","score":0.8820000290870667},{"id":"https://openalex.org/keywords/customer-retention","display_name":"customer retention","score":0.6549999713897705},{"id":"https://openalex.org/keywords/internet-companies","display_name":"internet companies","score":0.5199999809265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775413155555725},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6715574264526367},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5726282596588135},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.525109589099884},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5066179037094116},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.46429499983787537},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.43083545565605164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4025109112262726},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3682430684566498},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.322612464427948}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw.2006.154","doi":"https://doi.org/10.1109/icdmw.2006.154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2006.154","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2052309873","https://openalex.org/W2088307184","https://openalex.org/W2138376168","https://openalex.org/W3157500029","https://openalex.org/W6794284376"],"related_works":["https://openalex.org/W2171921035","https://openalex.org/W2466016924","https://openalex.org/W2010740659","https://openalex.org/W2512929571","https://openalex.org/W2167246206","https://openalex.org/W2572171341","https://openalex.org/W2367060539","https://openalex.org/W2388263750","https://openalex.org/W2351781458","https://openalex.org/W2117849868"],"abstract_inverted_index":{"The":[0,42,134,159,172],"email":[1,30,45,97,146,218],"has":[2],"profoundly":[3],"affected":[4],"our":[5],"ways":[6],"of":[7,39,44,54,60,95,107,121,131,143,183,195],"life.":[8],"In":[9],"the":[10,18,24,37,52,55,58,65,81,84,93,105,113,117,129,137,141,145,148,154,157,162,167,174,178,181,184,190,196,201,205,212,217],"year":[11],"2001,":[12],"many":[13],"Web":[14],"sites":[15],"begin":[16],"operating":[17],"charge":[19,40,96],"emails":[20],"in":[21],"china.":[22],"Recently":[23],"foreign":[25],"Internet":[26],"company":[27],"serves":[28],"free":[29],"with":[31],"large":[32],"storage":[33],"capability,":[34],"which":[35,139,150,161],"threats":[36],"existence":[38],"email.":[41,158,191],"churn":[43,53,94,185],"users":[46],"is":[47,80,88,104,169],"serious.":[48],"This":[49,79],"paper":[50,91],"studied":[51],"customer":[56,206],"using":[57,144,189],"way":[59,120],"data":[61,77,100,114,118,122,125,132,135,168],"mining":[62],"based":[63,98,127],"on":[64,76,83,99,128],"background":[66],"introduced.":[67],"There":[68],"are":[69],"a":[70],"lot":[71],"models":[72,173],"and":[73,124,147,210],"study":[74,90],"papers":[75],"mining.":[78,101,133],"same":[82],"churn.":[85],"But":[86],"there":[87],"few":[89],"about":[92],"So":[102],"this":[103,108],"innovation":[106],"paper.":[109],"Then":[110],"we":[111,198],"analyzed":[112],"after":[115,177],"processing":[116],"by":[119],"cleaning":[123],"integration":[126],"method":[130],"includes":[136],"log-data":[138],"contain":[140],"information":[142],"database-data":[149],"was":[151],"provided":[152],"when":[153],"client":[155],"applied":[156],"model":[160],"author":[163,175],"used":[164],"to":[165,203],"train":[166],"decision":[170],"tree.":[171],"get":[176],"operation":[179],"implicate":[180],"feature":[182],"before":[186],"they":[187],"stop":[188],"By":[192],"reasonable":[193],"explanation":[194],"model,":[197],"can":[199],"help":[200],"enterprise":[202],"improve":[204],"relationship":[207],"management":[208],"(CRM)":[209],"redeem":[211],"customers":[213],"who":[214],"would":[215],"leave":[216]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}