{"id":"https://openalex.org/W3158281741","doi":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00173","title":"Customer Segment Application of Machine Learning in Business Operation of China Mobile","display_name":"Customer Segment Application of Machine Learning in Business Operation of China Mobile","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3158281741","doi":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00173","mag":"3158281741"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc-smartcity-dss50907.2020.00173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)","raw_type":"proceedings-article"},"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":"https://openalex.org/A5101654758","display_name":"Qiaoyu Li","orcid":"https://orcid.org/0009-0009-6061-2985"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoyu Li","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677319","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0001-5068-1439"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414092","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0001-9319-5940"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689557","display_name":"Xiaofang Liu","orcid":"https://orcid.org/0000-0001-5229-9700"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Liu","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012612938","display_name":"Yaohong Zhao","orcid":"https://orcid.org/0009-0007-2264-7939"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohong Zhao","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110346878","display_name":"Chu Jun","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chu","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101493129","display_name":"Haitao Zeng","orcid":"https://orcid.org/0000-0003-2728-9724"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zeng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034901677","display_name":"Xuefeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Zhao","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773559","display_name":"Chao Deng","orcid":"https://orcid.org/0000-0003-4449-5247"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Deng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079750750","display_name":"Junlan Feng","orcid":"https://orcid.org/0000-0001-5292-2945"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlan Feng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.5508,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68464912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1344","last_page":"1349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9757000207901001,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International 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/computer-science","display_name":"Computer science","score":0.5824064016342163},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5063756704330444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824064016342163},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5063756704330444},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc-smartcity-dss50907.2020.00173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1519318168","https://openalex.org/W1726352090","https://openalex.org/W1987573134","https://openalex.org/W2038095131","https://openalex.org/W2050561984","https://openalex.org/W2050741632","https://openalex.org/W2051880516","https://openalex.org/W2105941079","https://openalex.org/W2182353144","https://openalex.org/W2295985801","https://openalex.org/W2584781382","https://openalex.org/W2759903677","https://openalex.org/W2792328488","https://openalex.org/W2793768763","https://openalex.org/W2943073127","https://openalex.org/W3104030692","https://openalex.org/W3105639959"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2350270224","https://openalex.org/W2354620178","https://openalex.org/W600967366","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2383989146","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2351486628"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,19,34,39,114,122,143],"this":[3,59],"paper":[4,60,117],"is":[5,97,130,136],"to":[6,11,22,85,99,139],"use":[7],"machine":[8],"learning":[9],"technology":[10],"build":[12,70],"more":[13,71],"user":[14,49,73],"profiles":[15],"in":[16,78],"the":[17,32,37,48,87,92,101,112,116,119,141,144],"process":[18,113],"customer":[20],"segmentation":[21],"assist":[23,77],"marketing":[24],"decision-making.":[25],"Specifically,":[26],"by":[27],"introducing":[28],"cross":[29],"features":[30,103],"into":[31],"construction":[33],"Feature":[35],"Engineering,":[36],"accuracy":[38],"target":[40],"group":[41],"prediction":[42],"can":[43,54,69],"be":[44,55],"further":[45],"improved":[46,64],"and":[47,75,104,132],"subgroup":[50],"after":[51],"feature":[52,94],"crossing":[53],"mined.":[56],"In":[57,89,111],"addition,":[58,90],"also":[61],"proposes":[62],"an":[63],"decision":[65],"tree":[66],"model,":[67],"which":[68],"comprehensive":[72],"profiles,":[74],"then":[76],"intelligent":[79],"marketing.":[80],"Firstly,":[81],"both":[82],"methods":[83],"need":[84],"preprocess":[86],"data.":[88,110],"for":[91,108],"subsequent":[93],"crossing,":[95],"it":[96],"necessary":[98],"discretize":[100],"continuous":[102],"implement":[105],"one-hot":[106],"encoding":[107],"all":[109],"discretization,":[115],"realizes":[118],"automatic":[120],"selection":[121],"better":[123],"discrete":[124],"granularity":[125],"value.":[126],"A":[127],"specific":[128],"example":[129],"given":[131],"a":[133],"comparative":[134],"experiment":[135],"carried":[137],"out":[138],"verify":[140],"effectiveness":[142],"method.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}