{"id":"https://openalex.org/W3129577653","doi":"https://doi.org/10.23919/fruct50888.2021.9347606","title":"Anomaly Detection Method for Aggregated Cellular Operator Data","display_name":"Anomaly Detection Method for Aggregated Cellular Operator Data","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3129577653","doi":"https://doi.org/10.23919/fruct50888.2021.9347606","mag":"3129577653"},"language":"en","primary_location":{"id":"doi:10.23919/fruct50888.2021.9347606","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct50888.2021.9347606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 28th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/07ac568fc44841ac99c1f1291641101d","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052717621","display_name":"Mark Bulygin","orcid":"https://orcid.org/0000-0001-5846-4367"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Mark Bulygin","raw_affiliation_strings":["Moscow State University,Moscow,Russia","Moscow State University, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow State University,Moscow,Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000125264","display_name":"Dmitry Namiot","orcid":"https://orcid.org/0000-0002-4463-1678"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Namiot","raw_affiliation_strings":["Moscow State University,Moscow,Russia","Moscow State University, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow State University,Moscow,Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052717621"],"corresponding_institution_ids":["https://openalex.org/I19880235"],"apc_list":null,"apc_paid":null,"fwci":1.8093,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85397828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.972000002861023,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.696138858795166},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6551052331924438},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6475394368171692},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5696607232093811},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5432426333427429},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5089514255523682},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.49901533126831055},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.47007113695144653},{"id":"https://openalex.org/keywords/cellular-traffic","display_name":"Cellular traffic","score":0.4684123396873474},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4621935486793518},{"id":"https://openalex.org/keywords/cellular-radio","display_name":"Cellular radio","score":0.4574112594127655},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.42996013164520264},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4137806296348572},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3670932650566101},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11732211709022522},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10321134328842163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10222119092941284},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.07110059261322021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696138858795166},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6551052331924438},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6475394368171692},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5696607232093811},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5432426333427429},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5089514255523682},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.49901533126831055},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.47007113695144653},{"id":"https://openalex.org/C133972139","wikidata":"https://www.wikidata.org/wiki/Q5058371","display_name":"Cellular traffic","level":3,"score":0.4684123396873474},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4621935486793518},{"id":"https://openalex.org/C2986910011","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Cellular radio","level":3,"score":0.4574112594127655},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.42996013164520264},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4137806296348572},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3670932650566101},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11732211709022522},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10321134328842163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10222119092941284},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.07110059261322021},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct50888.2021.9347606","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct50888.2021.9347606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 28th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:07ac568fc44841ac99c1f1291641101d","is_oa":true,"landing_page_url":"https://doaj.org/article/07ac568fc44841ac99c1f1291641101d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 41-47 (2021)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:07ac568fc44841ac99c1f1291641101d","is_oa":true,"landing_page_url":"https://doaj.org/article/07ac568fc44841ac99c1f1291641101d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 41-47 (2021)","raw_type":"article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2100378013","https://openalex.org/W2772729778","https://openalex.org/W2894420482","https://openalex.org/W2902389068","https://openalex.org/W2942266278","https://openalex.org/W6754868865"],"related_works":["https://openalex.org/W2152560098","https://openalex.org/W3158483886","https://openalex.org/W2142972685","https://openalex.org/W1999985077","https://openalex.org/W1528209454","https://openalex.org/W2127339858","https://openalex.org/W2099296666","https://openalex.org/W2486161680","https://openalex.org/W2072730160","https://openalex.org/W2398750698"],"abstract_inverted_index":{"According":[0],"to":[1,35],"the":[2,5,22,28,36,51,78,81,94,101,105,116,119,123,145,153,167],"research":[3],"of":[4,27,50,69,80,93,96,104,118,127,147,152,164,169,173],"international":[6],"agency":[7],"\u201cWe":[8],"are":[9,15,64,111,130,176],"social\u201d":[10],"in":[11,21,40,158,166],"April":[12],"2020,":[13],"there":[14],"5.16":[16],"billion":[17],"mobile":[18],"phone":[19],"users":[20],"world.":[23],"This":[24,31],"is":[25,33,57,75,84,98,139,142,156],"66%":[26],"total":[29],"population.":[30],"article":[32,52],"devoted":[34],"search":[37],"for":[38,71,108,136],"anomalies":[39],"traffic":[41,148],"data":[42,56,74,82,171],"received":[43],"from":[44,86],"cellular":[45,60,87,174],"operators.":[46],"The":[47,150],"first":[48],"part":[49,103],"tells":[53],"about":[54],"what":[55],"collected":[58,85],"by":[59,89],"operators,":[61],"how":[62],"they":[63],"processed.":[65],"A":[66],"brief":[67],"overview":[68],"methods":[70,107],"analyzing":[72],"these":[73],"provided.":[76],"Further,":[77],"structure":[79],"that":[83],"operators":[88,175],"a":[90,133],"special":[91],"department":[92],"city":[95],"Moscow":[97],"presented.":[99],"In":[100],"second":[102],"article,":[106],"anomaly":[109,137],"detection":[110,138],"analyzed,":[112],"taking":[113],"into":[114],"account":[115],"specifics":[117],"available":[120],"data,":[121],"and":[122,125],"advantages":[124],"disadvantages":[126],"its":[128],"use":[129],"revealed.":[131],"Then,":[132],"proprietary":[134],"method":[135,155],"proposed,":[140],"which":[141],"based":[143],"on":[144],"properties":[146],"data.":[149],"work":[151,165],"proposed":[154],"demonstrated":[157],"several":[159],"computational":[160],"experiments.":[161],"Further":[162],"directions":[163],"field":[168],"aggregated":[170],"analysis":[172],"proposed.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
