{"id":"https://openalex.org/W1966292371","doi":"https://doi.org/10.1109/cnsm.2013.6727831","title":"Detecting anomalies in cellular networks using an ensemble method","display_name":"Detecting anomalies in cellular networks using an ensemble method","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1966292371","doi":"https://doi.org/10.1109/cnsm.2013.6727831","mag":"1966292371"},"language":"en","primary_location":{"id":"doi:10.1109/cnsm.2013.6727831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnsm.2013.6727831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)","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/A5073756906","display_name":"Gabriela Ciocarlie","orcid":"https://orcid.org/0000-0002-4405-0742"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriela F. Ciocarlie","raw_affiliation_strings":["SRI International, Menlo Park, California, USA","SRI Int., Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International, Menlo Park, California, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"SRI Int., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005967956","display_name":"Ulf Lindqvist","orcid":"https://orcid.org/0009-0002-5941-0947"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulf Lindqvist","raw_affiliation_strings":["SRI International, Menlo Park, California, USA","SRI Int., Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International, Menlo Park, California, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"SRI Int., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030267320","display_name":"Szabolcs Nov\u00e1czki","orcid":null},"institutions":[{"id":"https://openalex.org/I63162264","display_name":"Nokia (Australia)","ror":"https://ror.org/05f2ewd15","country_code":"AU","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I63162264"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Szabolcs Novaczki","raw_affiliation_strings":["Nokia Siemens Networks Research, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Siemens Networks Research, Budapest, Hungary","institution_ids":["https://openalex.org/I63162264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112318886","display_name":"Henning Sanneck","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]},{"id":"https://openalex.org/I63162264","display_name":"Nokia (Australia)","ror":"https://ror.org/05f2ewd15","country_code":"AU","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I63162264"]}],"countries":["AU","DE"],"is_corresponding":false,"raw_author_name":"Henning Sanneck","raw_affiliation_strings":["Nokia Siemens Networks Research, Munich, Germany","Nokia Siemens Networks - Research, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Siemens Networks Research, Munich, Germany","institution_ids":["https://openalex.org/I1325886976","https://openalex.org/I4210159457"]},{"raw_affiliation_string":"Nokia Siemens Networks - Research, Munich, Germany","institution_ids":["https://openalex.org/I63162264"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9969000220298767,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.996399998664856,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7778212428092957},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6415600776672363},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6370570063591003},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.596099317073822},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5921514630317688},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5414097905158997},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5322738885879517},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.5083865523338318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5020298957824707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4379943907260895},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4313116669654846},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10487642884254456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778212428092957},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6415600776672363},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6370570063591003},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.596099317073822},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5921514630317688},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5414097905158997},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5322738885879517},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.5083865523338318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5020298957824707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4379943907260895},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4313116669654846},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10487642884254456},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cnsm.2013.6727831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnsm.2013.6727831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.682.7308","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.7308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnsm-conf.org/2013/documents/papers/CNSM/p171-ciocarlie.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W141700540","https://openalex.org/W586985871","https://openalex.org/W1523333581","https://openalex.org/W1530159762","https://openalex.org/W1536447791","https://openalex.org/W1738379222","https://openalex.org/W1784695092","https://openalex.org/W1788497923","https://openalex.org/W1925821051","https://openalex.org/W2057159504","https://openalex.org/W2093825590","https://openalex.org/W2132559723","https://openalex.org/W2134239854","https://openalex.org/W2136805669","https://openalex.org/W2921629193","https://openalex.org/W6631343661","https://openalex.org/W6631644319","https://openalex.org/W6632102171","https://openalex.org/W6637832812","https://openalex.org/W6640390705"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W1993992974","https://openalex.org/W1512294453","https://openalex.org/W2738234280","https://openalex.org/W2550734047","https://openalex.org/W2911841387","https://openalex.org/W2341571017","https://openalex.org/W2176526134"],"abstract_inverted_index":{"The":[0,58,81],"Self-Organizing":[1],"Networks":[2],"(SON)":[3],"concept":[4,79],"includes":[5],"the":[6,16,32,91,99],"functional":[7],"area":[8],"known":[9],"as":[10],"self-healing,":[11],"which":[12],"aims":[13],"to":[14,65,72,112],"automate":[15],"detection":[17,100],"and":[18,21,26,40,46,69,96,104],"diagnosis":[19],"of,":[20],"recovery":[22],"from,":[23],"network":[24,87],"degradations":[25,42],"outages.":[27],"This":[28],"paper":[29],"focuses":[30],"on":[31],"problem":[33],"of":[34],"cell":[35,56],"anomaly":[36],"detection,":[37],"addressing":[38],"partial":[39],"complete":[41],"in":[43],"cell-service":[44],"performance,":[45],"it":[47],"proposes":[48],"an":[49],"adaptive":[50],"ensemble":[51,93],"method":[52,94],"framework":[53,59],"for":[54],"modeling":[55],"behavior.":[57],"uses":[60],"Key":[61],"Performance":[62],"Indicators":[63],"(KPIs)":[64],"determine":[66],"cell-performance":[67],"status":[68],"is":[70],"able":[71],"cope":[73],"with":[74],"legitimate":[75],"system":[76,110],"changes":[77],"(i.e.,":[78],"drift).":[80],"results,":[82],"generated":[83],"using":[84,108],"real":[85],"cellular":[86],"data,":[88],"suggest":[89],"that":[90],"proposed":[92],"automatically":[95],"significantly":[97],"improves":[98],"quality":[101],"over":[102],"univariate":[103],"multivariate":[105],"methods,":[106],"while":[107],"intrinsic":[109],"knowledge":[111],"enhance":[113],"performance.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
