{"id":"https://openalex.org/W4285225680","doi":"https://doi.org/10.1109/tnse.2022.3189365","title":"A Novel Sequence Tensor Recovery Algorithm for Quick and Accurate Anomaly Detection","display_name":"A Novel Sequence Tensor Recovery Algorithm for Quick and Accurate Anomaly Detection","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285225680","doi":"https://doi.org/10.1109/tnse.2022.3189365"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2022.3189365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3189365","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-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/A5004290483","display_name":"Wenbin Huang","orcid":"https://orcid.org/0000-0001-7309-2426"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Huang","raw_affiliation_strings":["Department of College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of College of Computer Science and Electronics Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062119492","display_name":"Kun Xie","orcid":"https://orcid.org/0000-0002-2163-2723"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Xie","raw_affiliation_strings":["Department of College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of College of Computer Science and Electronics Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075376655","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-7896-5388"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Department of School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004290483"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":2.4091,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89790898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":"5","first_page":"3531","last_page":"3545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9373999834060669,"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"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9340000152587891,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.6538041830062866},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6531091928482056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5948436260223389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574818253517151},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.557313859462738},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48278629779815674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.438980370759964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35137826204299927},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3284686803817749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2648937702178955}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6538041830062866},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6531091928482056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5948436260223389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574818253517151},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.557313859462738},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48278629779815674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.438980370759964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35137826204299927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3284686803817749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2648937702178955},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2022.3189365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3189365","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1713809400","display_name":null,"funder_award_id":"62025201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5391435443","display_name":null,"funder_award_id":"61972144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W104201263","https://openalex.org/W1523479726","https://openalex.org/W1980381208","https://openalex.org/W2034518400","https://openalex.org/W2071160338","https://openalex.org/W2096575354","https://openalex.org/W2111160227","https://openalex.org/W2145563843","https://openalex.org/W2278186031","https://openalex.org/W2469230926","https://openalex.org/W2494827994","https://openalex.org/W2498136258","https://openalex.org/W2500090022","https://openalex.org/W2541748320","https://openalex.org/W2604735226","https://openalex.org/W2604964345","https://openalex.org/W2752077201","https://openalex.org/W2763681708","https://openalex.org/W2766702586","https://openalex.org/W2769383089","https://openalex.org/W2778192313","https://openalex.org/W2790209388","https://openalex.org/W2790496887","https://openalex.org/W2794566895","https://openalex.org/W2795056451","https://openalex.org/W2800094109","https://openalex.org/W2802552971","https://openalex.org/W2810550035","https://openalex.org/W2891273344","https://openalex.org/W2893143447","https://openalex.org/W2919745130","https://openalex.org/W2948517885","https://openalex.org/W2963885538","https://openalex.org/W2964277065","https://openalex.org/W2969495950","https://openalex.org/W2971036085","https://openalex.org/W2977894483","https://openalex.org/W2979028048","https://openalex.org/W2982606590","https://openalex.org/W2996899102","https://openalex.org/W3010472383","https://openalex.org/W3015055223","https://openalex.org/W3036598342","https://openalex.org/W3105931142","https://openalex.org/W3197954210","https://openalex.org/W4232863230","https://openalex.org/W4283209042","https://openalex.org/W6604226574","https://openalex.org/W6674109454","https://openalex.org/W6754355446","https://openalex.org/W6774785472"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2105642232","https://openalex.org/W3207332793","https://openalex.org/W3197833032","https://openalex.org/W4386081464","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2499612753","https://openalex.org/W2354191502"],"abstract_inverted_index":{"Anomalous":[0],"traffic":[1,31,65,109,142,155],"detection":[2,104,128],"is":[3],"a":[4,78,116],"vital":[5],"task":[6],"in":[7,87,145,178],"advanced":[8],"Internet":[9],"supervision":[10],"and":[11,24,67,101,158,169,182],"maintenance.":[12],"To":[13,71],"detect":[14,64],"anomalies":[15],"accurately,":[16],"various":[17],"data":[18,110,143],"representations,":[19],"such":[20,58],"as":[21,59],"vectors,":[22],"matrices,":[23],"tensors,":[25],"have":[26],"been":[27],"adopted":[28],"to":[29,40,98,125,174],"model":[30],"data.":[32],"Among":[33],"them,":[34],"tensor-based":[35,53],"methods":[36],"outperform":[37],"others":[38],"due":[39],"their":[41],"capability":[42],"of":[43,94,137,141,180],"capturing":[44,132],"comprehensive":[45,139],"correlations":[46],"between":[47],"complex":[48],"network":[49],"traffic.":[50],"However,":[51],"existing":[52],"algorithms":[54,171,177],"remain":[55],"certain":[56],"shortcomings,":[57],"working":[60],"offline,":[61],"cannot":[62],"timely":[63],"anomalies,":[66],"high":[68],"computation":[69,183],"costs.":[70],"conquer":[72],"the":[73,92,133,138,146,166,175],"aforementioned":[74],"deficiencies,":[75],"we":[76,114],"propose":[77,115],"novel":[79],"<italic":[80,117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81,118,161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">sequence":[82],"tensor":[83,96,121,147],"recovery</i>":[84,122],"(STR)":[85],"algorithm":[86,124],"this":[88],"paper,":[89],"which":[90],"utilizes":[91],"results":[93,151],"historical":[95],"decomposition":[97],"achieve":[99],"quick":[100],"accurate":[102],"anomaly":[103,127],"with":[105],"low":[106],"consumption":[107],"when":[108],"series":[111],"arrive.":[112],"Furthermore,":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">dynamic":[119],"sequence":[120],"(DSTR)":[123],"improve":[126],"accuracy":[129,181],"by":[130],"better":[131],"variation":[134],"over":[135],"time":[136],"correlation":[140],"hidden":[144],"structure.":[148],"The":[149],"experimental":[150],"on":[152],"two":[153],"real":[154],"traces,":[156],"Abilene":[157],"G":[159],"<inline-formula":[160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[162],"notation=\"LaTeX\">$\\grave{E}$</tex-math></inline-formula>":[163],"ANT,":[164],"indicate":[165],"proposed":[167],"STR":[168],"DSTR":[170],"are":[172],"superior":[173],"state-of-the-art":[176],"terms":[179],"cost.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}