{"id":"https://openalex.org/W2988541064","doi":"https://doi.org/10.1145/3357254.3357265","title":"Mobile network risk user recognition based on ensemble learning","display_name":"Mobile network risk user recognition based on ensemble learning","publication_year":2019,"publication_date":"2019-08-16","ids":{"openalex":"https://openalex.org/W2988541064","doi":"https://doi.org/10.1145/3357254.3357265","mag":"2988541064"},"language":"en","primary_location":{"id":"doi:10.1145/3357254.3357265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357254.3357265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition","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/A5043119497","display_name":"Kaili Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaili Wu","raw_affiliation_strings":["Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009393965","display_name":"XU Xue-qi","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Xu","raw_affiliation_strings":["Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000263403","display_name":"Zhouxiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouxiang Wang","raw_affiliation_strings":["Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21466259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9919000267982483,"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/adaboost","display_name":"AdaBoost","score":0.885764479637146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7735155820846558},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6314440369606018},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.625481903553009},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6192224025726318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6072984337806702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5915393829345703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4339742064476013},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4168696701526642},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4111471176147461},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4107821583747864},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2665865421295166},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1079731285572052}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.885764479637146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735155820846558},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6314440369606018},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.625481903553009},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6192224025726318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6072984337806702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5915393829345703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4339742064476013},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4168696701526642},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4111471176147461},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4107821583747864},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2665865421295166},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1079731285572052},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357254.3357265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357254.3357265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2173076655","https://openalex.org/W2566085917","https://openalex.org/W2601996824","https://openalex.org/W2625115976","https://openalex.org/W2736089194","https://openalex.org/W2763122316","https://openalex.org/W2777207995","https://openalex.org/W2935834666"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"With":[0],"the":[1,20,59,62,65,78,117,137],"rapid":[2],"development":[3],"of":[4,13,22,61,119],"mobile":[5,27,85,112,120,133],"network,":[6,28],"there":[7],"are":[8],"also":[9],"some":[10],"hidden":[11],"dangers":[12],"network":[14,86,113,121,134],"security.":[15],"In":[16],"order":[17],"to":[18],"study":[19],"problem":[21],"risk":[23,42,87,118],"user":[24,31,43],"identification":[25,44],"in":[26],"based":[29,93,107],"on":[30,94,108],"desensitization":[32],"data":[33],"provided":[34],"by":[35,122],"China":[36],"Unicom,":[37],"this":[38],"paper":[39],"establishes":[40],"a":[41,131],"model":[45,63],"using":[46],"four":[47],"ensemble":[48,79,125],"learning":[49,80,126],"methods:":[50],"random":[51,105],"forest,":[52],"Adaboost,":[53,89],"Xgboost":[54,90],"and":[55,57,68,91,100,128],"Lightgbm,":[56],"compares":[58],"effect":[60],"with":[64],"accuracy,":[66],"AUC":[67],"F1":[69],"scores":[70],"as":[71],"evaluation":[72],"indicators.":[73],"The":[74],"results":[75],"show":[76],"that":[77],"method":[81],"can":[82,115],"effectively":[83],"identify":[84],"users.":[88],"Lightgbm":[92],"boosting":[95],"algorithm":[96],"have":[97],"higher":[98],"accuracy":[99],"stronger":[101],"generalization":[102],"ability":[103],"than":[104],"forest":[106],"bagging":[109],"algorithm.":[110],"Therefore,":[111],"companies":[114],"prevent":[116],"establishing":[123],"relevant":[124],"model,":[127],"then":[129],"provide":[130],"healthy":[132],"environment":[135],"for":[136],"public.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}