{"id":"https://openalex.org/W4283220631","doi":"https://doi.org/10.1109/infocom48880.2022.9796928","title":"Policy-Induced Unsupervised Feature Selection: A Networking Case Study","display_name":"Policy-Induced Unsupervised Feature Selection: A Networking Case Study","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283220631","doi":"https://doi.org/10.1109/infocom48880.2022.9796928"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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/A5102754275","display_name":"Jalil Taghia","orcid":"https://orcid.org/0009-0004-2721-4030"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Jalil Taghia","raw_affiliation_strings":["Ericsson Research,Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003111942","display_name":"Farnaz Moradi","orcid":"https://orcid.org/0000-0001-6401-2762"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Farnaz Moradi","raw_affiliation_strings":["Ericsson Research,Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080431146","display_name":"Hannes Larsson","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hannes Larsson","raw_affiliation_strings":["Ericsson Research,Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085322891","display_name":"Xiaoyu Lan","orcid":"https://orcid.org/0009-0005-1324-8085"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xiaoyu Lan","raw_affiliation_strings":["Ericsson Research,Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060584048","display_name":"Masoumeh Ebrahimi","orcid":"https://orcid.org/0000-0001-7877-6712"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Masoumeh Ebrahimi","raw_affiliation_strings":["Ericsson Research,Sweden","Division of Electronics and Embedded Systems, KTH, Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Division of Electronics and Embedded Systems, KTH, Sweden","institution_ids":[]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023887843","display_name":"Andreas Johnsson","orcid":"https://orcid.org/0000-0003-3743-9431"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Johnsson","raw_affiliation_strings":["Ericsson Research,Sweden","Department of Information Technology, Uppsala University, Sweden","Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102754275"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.4158,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55990088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"313","issue":null,"first_page":"750","last_page":"759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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":0.9991000294685364,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8434985876083374},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8250569701194763},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7217047214508057},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6649294495582581},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6069066524505615},{"id":"https://openalex.org/keywords/enabling","display_name":"Enabling","score":0.5781549215316772},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.575221061706543},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5402853488922119},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5391092896461487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4952904284000397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47331535816192627},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.470279723405838},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46758031845092773},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32739293575286865},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20570385456085205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434985876083374},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8250569701194763},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7217047214508057},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6649294495582581},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6069066524505615},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.5781549215316772},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.575221061706543},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5402853488922119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5391092896461487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4952904284000397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47331535816192627},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.470279723405838},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46758031845092773},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32739293575286865},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20570385456085205},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom48880.2022.9796928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1583700199","https://openalex.org/W1920802909","https://openalex.org/W1959608418","https://openalex.org/W2075932300","https://openalex.org/W2099322651","https://openalex.org/W2100495367","https://openalex.org/W2149274049","https://openalex.org/W2167101736","https://openalex.org/W2510961579","https://openalex.org/W2518735612","https://openalex.org/W2548228487","https://openalex.org/W2804444809","https://openalex.org/W2809684781","https://openalex.org/W2884171711","https://openalex.org/W2945976633","https://openalex.org/W2952621348","https://openalex.org/W2970749456","https://openalex.org/W2975514403","https://openalex.org/W2996110062","https://openalex.org/W2999580660","https://openalex.org/W3010335356","https://openalex.org/W3089283090","https://openalex.org/W3108447748","https://openalex.org/W3108835755","https://openalex.org/W4289236186","https://openalex.org/W6640239109","https://openalex.org/W6640963894","https://openalex.org/W6674952872","https://openalex.org/W6730091202","https://openalex.org/W6764866695"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W4285042611","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2338718585"],"abstract_inverted_index":{"A":[0,35],"promising":[1],"approach":[2,108],"for":[3,38],"leveraging":[4],"the":[5,9,16,26,57,112,123,132,150,156,161,166,169,192,195],"flexibility":[6],"and":[7,80,183],"mitigating":[8],"complexity":[10],"of":[11,18,49,100,111,117,127,146,160,168,175,194],"future":[12,84],"telecom":[13],"systems":[14],"is":[15,41,62],"use":[17,86],"machine":[19],"learning":[20],"(ML)":[21],"models":[22,40],"that":[23,104,134],"can":[24],"analyze":[25],"network":[27,65],"performance,":[28],"as":[29,31,131,155],"well":[30],"taking":[32],"proactive":[33],"actions.":[34],"key":[36],"enabler":[37],"ML":[39,85],"timely":[42],"access":[43],"to":[44,73,122,136],"reliable":[45],"data,":[46],"in":[47,109,115,125],"terms":[48,116],"features,":[50],"which":[51],"require":[52],"pervasive":[53],"measurement":[54],"points":[55],"throughout":[56],"network.":[58],"However,":[59],"excessive":[60],"monitoring":[61,89],"associated":[63],"with":[64],"overhead.":[66],"Considering":[67],"domain":[68,113],"knowledge":[69,114],"may":[70],"provide":[71],"clues":[72],"find":[74],"a":[75,98,106,180,184],"balance":[76],"between":[77],"overhead":[78],"reduction":[79],"meeting":[81],"requirements":[82],"on":[83,171],"cases":[87],"by":[88],"just":[90],"enough":[91],"features.":[92,163],"In":[93],"this":[94],"work,":[95],"we":[96],"propose":[97],"method":[99,124,170],"unsupervised":[101,147,152],"feature":[102,148,153],"selection":[103,149,154,159],"provides":[105],"structured":[107],"incorporation":[110],"policies.":[118],"Policies":[119],"are":[120],"provided":[121],"form":[126],"must-have":[128],"features":[129,133],"defined":[130],"need":[135],"be":[137],"monitored":[138],"at":[139,191],"all":[140],"times.":[141],"We":[142,164],"name":[143],"such":[144],"family":[145],"policy-induced":[151],"policies":[157],"inform":[158],"latent":[162],"evaluate":[165],"performance":[167],"two":[172],"rich":[173],"sets":[174],"data":[176,181],"traces":[177],"collected":[178],"from":[179],"center":[182],"5G-mmWave":[185],"testbed.":[186],"Our":[187],"empirical":[188],"evaluations":[189],"point":[190],"effectiveness":[193],"solution.":[196]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
