{"id":"https://openalex.org/W3113459368","doi":"https://doi.org/10.1145/3393822.3432319","title":"CRATOS","display_name":"CRATOS","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3113459368","doi":"https://doi.org/10.1145/3393822.3432319","mag":"3113459368"},"language":"en","primary_location":{"id":"doi:10.1145/3393822.3432319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3393822.3432319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 European Symposium on Software Engineering","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/A5029019344","display_name":"Ziling Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziling Wu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Xiaoguwei Island, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Xiaoguwei Island, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002714024","display_name":"Liu Ping","orcid":"https://orcid.org/0000-0001-8958-3748"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Liu","raw_affiliation_strings":["Huawei Technologies Co. Bantian, Shenzhen, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Bantian, Shenzhen, P. R. China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088928758","display_name":"Zheng Hu","orcid":"https://orcid.org/0000-0002-3526-0297"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Hu","raw_affiliation_strings":["Huawei Technologies Co. Bantian, Shenzhen, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Bantian, Shenzhen, P. R. China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102812784","display_name":"Bocheng Li","orcid":"https://orcid.org/0009-0001-0675-6445"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bocheng Li","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University Xiaoguwei Island, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University Xiaoguwei Island, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602081","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-0376-6071"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9945999979972839,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8719099760055542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173271775245667},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6703625917434692},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6674925684928894},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6668494343757629},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5604307651519775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5014572143554688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34649813175201416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33149370551109314}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8719099760055542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173271775245667},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6703625917434692},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6674925684928894},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6668494343757629},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5604307651519775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5014572143554688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34649813175201416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33149370551109314},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3393822.3432319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3393822.3432319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 European Symposium on Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1965606617","https://openalex.org/W1993863450","https://openalex.org/W1998823014","https://openalex.org/W2158382689","https://openalex.org/W2163352848","https://openalex.org/W2171778903","https://openalex.org/W2236871065","https://openalex.org/W2270574292","https://openalex.org/W2406760356","https://openalex.org/W2511200518","https://openalex.org/W2620661538","https://openalex.org/W2886736558","https://openalex.org/W2891536563","https://openalex.org/W2906498146","https://openalex.org/W2980994438","https://openalex.org/W3093575099","https://openalex.org/W4239372721","https://openalex.org/W4250249885"],"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/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,35,84,125,158],"of":[2,55,62,72,82,136,140,155],"time":[3,44,63,101],"series":[4,45,106],"plays":[5],"an":[6],"important":[7],"role":[8],"in":[9,14,28,46,160],"reliability":[10],"systems":[11],"engineering.":[12],"However,":[13],"practical":[15],"application,":[16],"there":[17],"is":[18,93,163],"no":[19],"precisely":[20],"defined":[21],"boundary":[22],"between":[23],"normal":[24],"and":[25,37,79,103,127,138],"anomalous":[26],"behaviors":[27],"different":[29,33,47],"application":[30],"scenarios.":[31],"Therefore,":[32],"anomaly":[34,56,83,124,141,157],"algorithms":[36,69,96,159],"processes":[38],"ought":[39],"to":[40,66,70,120,144],"be":[41],"adopted":[42],"for":[43,64],"situation.":[48],"Although":[49],"such":[50],"strategy":[51],"improve":[52],"the":[53,77,122,134,150,156],"accuracy":[54,154],"detection,":[57],"it":[58],"takes":[59],"a":[60,94],"lot":[61],"practitioners":[65],"configure":[67],"various":[68],"millions":[71],"series,":[73,102],"which":[74,92],"greatly":[75],"increases":[76],"development":[78,137],"maintenance":[80,139],"cost":[81,135],"processes.":[85,128],"In":[86],"this":[87,161],"paper,":[88],"we":[89,116],"propose":[90],"CRATOS":[91],"self-adapt":[95],"that":[97],"extract":[98],"features":[99,109],"from":[100],"then":[104],"cluster":[105],"with":[107],"similar":[108],"into":[110],"one":[111],"group.":[112],"For":[113],"each":[114],"group":[115],"utilize":[117],"evolutionary":[118],"algorithm":[119],"search":[121],"best":[123],"methods":[126,130,148],"Our":[129],"can":[131],"significantly":[132],"reduce":[133],"detection.":[142],"According":[143],"experiments,":[145],"our":[146],"clustering":[147],"achieves":[149],"state-of-art":[151],"results.":[152],"The":[153],"paper":[162],"85.1%.":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-01-05T00:00:00"}
