{"id":"https://openalex.org/W2768606982","doi":"https://doi.org/10.1109/wimob.2017.8115784","title":"Super learning for anomaly detection in cellular networks","display_name":"Super learning for anomaly detection in cellular networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2768606982","doi":"https://doi.org/10.1109/wimob.2017.8115784","mag":"2768606982"},"language":"en","primary_location":{"id":"doi:10.1109/wimob.2017.8115784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2017.8115784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-article"},"type":"article","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/A5081556750","display_name":"Pedro Casas","orcid":"https://orcid.org/0000-0002-0951-2331"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Pedro Casas","raw_affiliation_strings":["AIT Austrian Institute of Technology"],"affiliations":[{"raw_affiliation_string":"AIT Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017530794","display_name":"Juan Vanerio","orcid":"https://orcid.org/0000-0003-3120-5028"},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]},{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT","UY"],"is_corresponding":false,"raw_author_name":"Juan Vanerio","raw_affiliation_strings":["AIT Austrian Institute of Technology & Universidad de la Rep\u00fablica"],"affiliations":[{"raw_affiliation_string":"AIT Austrian Institute of Technology & Universidad de la Rep\u00fablica","institution_ids":["https://openalex.org/I132118926","https://openalex.org/I180910786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081556750"],"corresponding_institution_ids":["https://openalex.org/I132118926"],"apc_list":null,"apc_paid":null,"fwci":1.6576,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86678638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9979000091552734,"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":0.7979409694671631},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.780163049697876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6379504799842834},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6301027536392212},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6177862882614136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805701017379761},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5649150609970093},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.49689772725105286},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.49527111649513245},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47806861996650696},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46715396642684937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4122743308544159},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4104922413825989},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13002100586891174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979409694671631},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.780163049697876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6379504799842834},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6301027536392212},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6177862882614136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805701017379761},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5649150609970093},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.49689772725105286},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49527111649513245},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47806861996650696},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46715396642684937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4122743308544159},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4104922413825989},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13002100586891174},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wimob.2017.8115784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2017.8115784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W26074071","https://openalex.org/W28412257","https://openalex.org/W91862604","https://openalex.org/W1528173775","https://openalex.org/W1598064945","https://openalex.org/W1631306809","https://openalex.org/W1965018420","https://openalex.org/W1966764836","https://openalex.org/W1975415766","https://openalex.org/W1988790447","https://openalex.org/W1990396441","https://openalex.org/W2022974299","https://openalex.org/W2024621423","https://openalex.org/W2046934276","https://openalex.org/W2060161902","https://openalex.org/W2078799390","https://openalex.org/W2088134864","https://openalex.org/W2096118443","https://openalex.org/W2107427360","https://openalex.org/W2109414303","https://openalex.org/W2112076978","https://openalex.org/W2115256724","https://openalex.org/W2122646361","https://openalex.org/W2131166445","https://openalex.org/W2134113644","https://openalex.org/W2144261930","https://openalex.org/W2149576945","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2247317079","https://openalex.org/W2278186031","https://openalex.org/W2461897637","https://openalex.org/W2463836193","https://openalex.org/W2538727084","https://openalex.org/W2542991588","https://openalex.org/W2741396778","https://openalex.org/W2750788711","https://openalex.org/W2912934387","https://openalex.org/W3150240591","https://openalex.org/W3150719513","https://openalex.org/W4212883601","https://openalex.org/W4233056867","https://openalex.org/W6601098373","https://openalex.org/W6603716672","https://openalex.org/W6676530940","https://openalex.org/W6676769703","https://openalex.org/W6679434643","https://openalex.org/W6687322159","https://openalex.org/W6743372307"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3135046080","https://openalex.org/W3023033471","https://openalex.org/W2809161969"],"abstract_inverted_index":{"The":[0,15,45],"ever-growing":[1],"population":[2],"of":[3,34,38,47,62,72,96,104,106,118,129,141,183,202,220],"smartphones":[4],"connected":[5],"to":[6,27,59,66,137,153,230],"mobile":[7,144],"networks":[8],"is":[9,167],"changing":[10],"the":[11,57,60,68,94,127,138,178,214,218],"cellular":[12,28,225],"traffic":[13,16,221],"ecosystem.":[14],"volumes":[17],"and":[18,36,70,133,195,227,239],"patterns":[19],"generated":[20],"by":[21,42,51],"smartphone":[22],"apps":[23],"pose":[24],"complex":[25],"challenges":[26],"network":[29,39,48,53,73,89,210],"operators,":[30],"particularly":[31,159],"in":[32,143,223],"terms":[33],"detection":[35,69,95,140,191,219],"diagnosis":[37],"anomalies":[40,97,142,222],"caused":[41],"specific":[43],"apps.":[44],"high-dimensionality":[46],"data":[49,83,131,135,206],"provided":[50],"current":[52],"monitoring":[54,90],"systems":[55],"opens":[56],"door":[58],"application":[61,128],"machine":[63,150],"learning":[64,151,170,185,234],"approaches":[65,235],"improve":[67],"classification":[71],"anomalies,":[74],"but":[75],"this":[76,123],"higher":[77],"dimensionality":[78],"comes":[79],"with":[80],"an":[81,168],"extra":[82],"processing":[84],"overhead.":[85],"In":[86,122],"addition,":[87],"critical":[88],"applications":[91],"such":[92,236],"as":[93,110,112,163,175,177,237],"require":[98],"fast":[99],"mechanisms":[100],"for":[101,115,209],"on-line":[102],"analysis":[103,117],"thousands":[105],"events":[107],"per":[108],"second,":[109],"well":[111,176],"efficient":[113],"techniques":[114],"off-line":[116],"massive":[119],"historical":[120],"data.":[121],"paper":[124],"we":[125],"explore":[126],"big":[130,134,205],"analytics":[132,207],"platforms":[136],"automatic":[139],"networks.":[145],"We":[146,193,212],"consider":[147],"ensemble,":[148],"multi-combined":[149],"models":[152,199],"enhance":[154],"anomaly":[155],"detection,":[156],"following":[157],"a":[158,188,204],"promising":[160],"model":[161],"known":[162],"Super":[164],"Learning.":[165],"Super-learning":[166],"ensemble":[169,233],"approach":[171,245],"which":[172],"performs":[173],"asymptotically":[174],"best":[179],"possible":[180],"weighted":[181],"combination":[182],"multiple":[184],"algorithms,":[186],"providing":[187],"very":[189],"powerful":[190],"approach.":[192],"implement":[194],"test":[196,213],"different":[197],"super-learning":[198],"on":[200,217],"top":[201],"Big-DAMA,":[203],"framework":[208],"monitoring.":[211],"proposed":[215],"solution":[216],"operational":[224],"networks,":[226],"compare":[228],"it":[229],"other":[231],"traditional":[232,247],"bagging":[238],"boosting.":[240],"Results":[241],"indicate":[242],"that":[243],"our":[244],"outperforms":[246],"ones.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
