{"id":"https://openalex.org/W4200452998","doi":"https://doi.org/10.1109/hpec49654.2021.9622859","title":"Knowledge-guided Tensor Decomposition for Baselining and Anomaly Detection","display_name":"Knowledge-guided Tensor Decomposition for Baselining and Anomaly Detection","publication_year":2021,"publication_date":"2021-09-20","ids":{"openalex":"https://openalex.org/W4200452998","doi":"https://doi.org/10.1109/hpec49654.2021.9622859"},"language":"en","primary_location":{"id":"doi:10.1109/hpec49654.2021.9622859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec49654.2021.9622859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5055226258","display_name":"Dimitri Leggas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102519","display_name":"Reservoir Labs (United States)","ror":"https://ror.org/01a3m3f05","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102519"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitri Leggas","raw_affiliation_strings":["Reservoir Labs, New York, NY"],"affiliations":[{"raw_affiliation_string":"Reservoir Labs, New York, NY","institution_ids":["https://openalex.org/I4210102519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029893651","display_name":"Christopher Coley","orcid":"https://orcid.org/0000-0001-7106-2071"},"institutions":[{"id":"https://openalex.org/I430641","display_name":"United States Air Force Academy","ror":"https://ror.org/0055d0g64","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I430641"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Coley","raw_affiliation_strings":["United States Air Force Academy, USAFA, CO"],"affiliations":[{"raw_affiliation_string":"United States Air Force Academy, USAFA, CO","institution_ids":["https://openalex.org/I430641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049815529","display_name":"Teresa Ranadive","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113003","display_name":"Physical Sciences (United States)","ror":"https://ror.org/021qvjc46","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teresa Ranadive","raw_affiliation_strings":["Laboratory for Physical Sciences, College Park, MD"],"affiliations":[{"raw_affiliation_string":"Laboratory for Physical Sciences, College Park, MD","institution_ids":["https://openalex.org/I4210113003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055226258"],"corresponding_institution_ids":["https://openalex.org/I4210102519"],"apc_list":null,"apc_paid":null,"fwci":0.6707,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64691657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9667999744415283,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9631999731063843,"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/anomaly-detection","display_name":"Anomaly detection","score":0.6877893209457397},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6613637208938599},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6557599902153015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6366674900054932},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6206923127174377},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6059144735336304},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5565537214279175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5534703731536865},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.441668301820755},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4298956096172333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34218093752861023},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3216104507446289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22733882069587708},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10385164618492126},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07639580965042114}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6877893209457397},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6613637208938599},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6557599902153015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366674900054932},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6206923127174377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6059144735336304},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5565537214279175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5534703731536865},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.441668301820755},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4298956096172333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34218093752861023},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3216104507446289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22733882069587708},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10385164618492126},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07639580965042114},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec49654.2021.9622859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec49654.2021.9622859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1976801265","https://openalex.org/W2000215628","https://openalex.org/W2006891733","https://openalex.org/W2008114373","https://openalex.org/W2024165284","https://openalex.org/W2031735233","https://openalex.org/W2033347609","https://openalex.org/W2038310229","https://openalex.org/W2061370212","https://openalex.org/W2070113647","https://openalex.org/W2094286023","https://openalex.org/W2119741678","https://openalex.org/W2132938399","https://openalex.org/W2140862024","https://openalex.org/W2157382843","https://openalex.org/W2482092413","https://openalex.org/W2494173650","https://openalex.org/W2541878878","https://openalex.org/W2766476454","https://openalex.org/W2766967332","https://openalex.org/W2783460020","https://openalex.org/W2792910899","https://openalex.org/W2793829147","https://openalex.org/W2801272135","https://openalex.org/W2903292462","https://openalex.org/W2914442069","https://openalex.org/W2941840911","https://openalex.org/W2951881727","https://openalex.org/W2991149580","https://openalex.org/W3005990752","https://openalex.org/W3008153780","https://openalex.org/W3103400026","https://openalex.org/W3117899385","https://openalex.org/W4200201902","https://openalex.org/W6639619044","https://openalex.org/W6762081672"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"We":[0,69,111],"introduce":[1],"a":[2,33,46,52,103,114,123],"flexible":[3],"knowledge-guided":[4,156],"penalty":[5],"for":[6,35,45,76,149,197],"incorporating":[7],"known":[8,124],"or":[9],"expected":[10,106],"patterns":[11,27,79,82],"of":[12,25,54,57,73,86,95,105],"activity":[13],"into":[14],"tensor":[15,19,48,184],"decomposition.":[16],"Our":[17,179],"modified":[18],"decomposition":[20,49,157],"both":[21],"enables":[22],"efficient":[23,190],"identification":[24],"semantically-related":[26],"across":[28],"data":[29,175],"sets":[30],"and":[31,121],"provides":[32],"means":[34],"identifying":[36],"anomalous":[37,81,134],"patterns.":[38],"Specifically,":[39],"we":[40,101,152],"modify":[41],"the":[42,55,58,66,71,74,84,127,133,138,146,173,183,194],"loss":[43],"function":[44],"CP":[47],"such":[50],"that":[51,154,164,168,192],"subset":[53],"columns":[56],"factor":[59],"matrices":[60],"are":[61,169],"guided":[62],"to":[63,160],"align":[64],"with":[65],"provided":[67],"knowledge.":[68],"validate":[70],"effectiveness":[72],"method":[75],"separating":[77],"baseline":[78,109,128],"from":[80,98,118],"in":[83,142,145,163,172,182],"context":[85],"cyber":[87],"network":[88,99,119],"traffic":[89],"logs.":[90],"After":[91],"performing":[92],"daily":[93],"decompositions":[94],"tensors":[96],"formed":[97],"logs,":[100],"derive":[102],"set":[104],"components":[107,167],"describing":[108],"behavior.":[110],"then":[112],"decompose":[113],"new":[115],"tensor,":[116],"created":[117],"logs":[120],"containing":[122],"anomaly,":[125],"providing":[126],"as":[129],"knowledge":[130,162],"guidance.":[131],"Notably,":[132],"behavior":[135],"appears":[136],"among":[137],"unguided":[139],"components,":[140],"resulting":[141],"drastic":[143],"reduction":[144],"search":[147],"space":[148],"anomalies.":[150],"Additionally,":[151],"show":[153],"our":[155],"is":[158,188],"robust":[159],"incorrect":[161],"any":[165],"enforced":[166],"not":[170],"found":[171],"original":[174],"have":[176],"low":[177],"weight.":[178],"method,":[180],"implemented":[181],"software":[185],"package":[186],"ENSIGN,":[187],"an":[189,198],"routine":[191],"reduces":[193],"post-processing":[195],"needed":[196],"anomaly":[199],"detection":[200],"workflow.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
