{"id":"https://openalex.org/W3002615576","doi":"https://doi.org/10.1109/besc48373.2019.8963003","title":"An Integration Method Of Classifiers For Abnormal Phone Detection","display_name":"An Integration Method Of Classifiers For Abnormal Phone Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002615576","doi":"https://doi.org/10.1109/besc48373.2019.8963003","mag":"3002615576"},"language":"en","primary_location":{"id":"doi:10.1109/besc48373.2019.8963003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","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/A5059380193","display_name":"Yahan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahan Yuan","raw_affiliation_strings":["School of information science and engineering, university of jinan,jinan,China,250022","School of information science and engineering, university of jinan, jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and engineering, university of jinan,jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of information science and engineering, university of jinan, jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000879","display_name":"Ke Ji","orcid":"https://orcid.org/0000-0003-0761-6484"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Ji","raw_affiliation_strings":["School of information science and engineering, university of jinan,jinan,China,250022","School of information science and engineering, university of jinan, jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and engineering, university of jinan,jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of information science and engineering, university of jinan, jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101397337","display_name":"Runyuan Sun","orcid":"https://orcid.org/0000-0002-5239-9848"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runyuan Sun","raw_affiliation_strings":["School of information science and engineering, university of jinan,jinan,China,250022","School of information science and engineering, university of jinan, jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and engineering, university of jinan,jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of information science and engineering, university of jinan, jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039282629","display_name":"Kun Ma","orcid":"https://orcid.org/0000-0002-0135-5423"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Ma","raw_affiliation_strings":["School of information science and engineering, university of jinan,jinan,China,250022","School of information science and engineering, university of jinan, jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and engineering, university of jinan,jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of information science and engineering, university of jinan, jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044246017","display_name":"Zhenxiang Chen","orcid":"https://orcid.org/0000-0001-9730-768X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxiang Chen","raw_affiliation_strings":["School of information science and engineering, university of jinan,jinan,China,250022","School of information science and engineering, university of jinan, jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and engineering, university of jinan,jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of information science and engineering, university of jinan, jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052276997","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0001-7704-7956"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["School of information science and engineering, university of jinan,jinan,China,250022","School of information science and engineering, university of jinan, jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and engineering, university of jinan,jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of information science and engineering, university of jinan, jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8090920448303223},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.7836887240409851},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5177092552185059},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5063663721084595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5015654563903809},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49812889099121094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48274749517440796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4324432611465454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090920448303223},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.7836887240409851},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5177092552185059},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5063663721084595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5015654563903809},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49812889099121094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48274749517440796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4324432611465454},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc48373.2019.8963003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W56210758","https://openalex.org/W1529944579","https://openalex.org/W1909800943","https://openalex.org/W1975336843","https://openalex.org/W2016544456","https://openalex.org/W2079450376","https://openalex.org/W2177347332","https://openalex.org/W2294463103","https://openalex.org/W2321061356","https://openalex.org/W2402534533","https://openalex.org/W2587816430","https://openalex.org/W2767394965","https://openalex.org/W6631646817"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2004323682","https://openalex.org/W2370205415","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W4387493491"],"abstract_inverted_index":{"Harassing":[0],"and":[1,51,80,89],"fraud":[2],"calls":[3],"have":[4,13],"spread":[5],"like":[6],"viruses":[7],"in":[8,33,112],"people's":[9],"lives,":[10],"many":[11],"researchers":[12],"proposed":[14],"some":[15],"solutions":[16],"to":[17,42,92,100],"abnormal":[18,66],"phone":[19,67],"detection.":[20],"However,":[21],"most":[22],"of":[23,46,55,63,97,109],"these":[24],"methods":[25],"are":[26],"passive":[27],"detection,":[28],"cannot":[29],"give":[30],"accurate":[31],"prediction":[32,96],"time.":[34],"In":[35],"this":[36],"work,":[37],"we":[38,84],"worked":[39],"with":[40,78,114],"operators":[41],"obtain":[43],"a":[44,53],"volume":[45],"real":[47],"telecom":[48],"user":[49],"data":[50,77],"extract":[52],"series":[54],"comprehensive":[56],"features.":[57],"We":[58],"propose":[59],"an":[60],"integration":[61],"method":[62,88,111],"classifiers":[64],"for":[65],"detection":[68],"by":[69],"applying":[70],"the":[71,76,94,107],"machine":[72],"learning":[73],"algorithm":[74],"on":[75],"unbalance":[79],"`dirty":[81],"data'.":[82],"Especially,":[83],"use":[85],"bootstrap":[86],"sampling":[87],"voting":[90],"strategy":[91],"reduce":[93],"false":[95],"classier":[98],"due":[99],"noise":[101],"data.":[102],"The":[103],"experimental":[104],"result":[105],"shows":[106],"effectiveness":[108],"our":[110],"contrast":[113],"traditional":[115],"classification":[116],"algorithm.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
