{"id":"https://openalex.org/W4388469685","doi":"https://doi.org/10.1109/tkde.2023.3330708","title":"An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection","display_name":"An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388469685","doi":"https://doi.org/10.1109/tkde.2023.3330708"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3330708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3330708","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data 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/A5101680224","display_name":"Xinye Wang","orcid":"https://orcid.org/0000-0003-2095-6117"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinye Wang","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103153652","display_name":"Lei Duan","orcid":"https://orcid.org/0000-0001-7254-1832"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Duan","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039550320","display_name":"Chengxin He","orcid":"https://orcid.org/0000-0003-3759-3914"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxin He","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066796478","display_name":"Yuanyuan Chen","orcid":"https://orcid.org/0000-0002-5358-9213"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Chen","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Research Center for Knowledge Engineering, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Knowledge Engineering, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101680224"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":0.8741,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79319499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"36","issue":"8","first_page":"3656","last_page":"3669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11220","display_name":"Water Systems and Optimization","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9733999967575073,"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":0.658187747001648},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6135486364364624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5782381296157837},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5742693543434143},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4586067795753479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43397068977355957},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.41608214378356934},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41357940435409546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2526652216911316},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1410878598690033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658187747001648},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6135486364364624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5782381296157837},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5742693543434143},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4586067795753479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43397068977355957},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.41608214378356934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41357940435409546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2526652216911316},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1410878598690033},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3330708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3330708","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1498132315","display_name":null,"funder_award_id":"61972268","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":67,"referenced_works":["https://openalex.org/W49905181","https://openalex.org/W199035648","https://openalex.org/W303668437","https://openalex.org/W1546168022","https://openalex.org/W1584412742","https://openalex.org/W1970088130","https://openalex.org/W1986332411","https://openalex.org/W2007943266","https://openalex.org/W2013189015","https://openalex.org/W2019014808","https://openalex.org/W2056081083","https://openalex.org/W2056702017","https://openalex.org/W2060166505","https://openalex.org/W2061122559","https://openalex.org/W2085748523","https://openalex.org/W2103914106","https://openalex.org/W2105497548","https://openalex.org/W2107373450","https://openalex.org/W2116607081","https://openalex.org/W2117839996","https://openalex.org/W2121410881","https://openalex.org/W2140413822","https://openalex.org/W2166595269","https://openalex.org/W2296719434","https://openalex.org/W2406935090","https://openalex.org/W2490995046","https://openalex.org/W2514504075","https://openalex.org/W2518225643","https://openalex.org/W2583323490","https://openalex.org/W2605475006","https://openalex.org/W2605920867","https://openalex.org/W2758309723","https://openalex.org/W2764266578","https://openalex.org/W2783205364","https://openalex.org/W2902415114","https://openalex.org/W2902758299","https://openalex.org/W2963307331","https://openalex.org/W2963878656","https://openalex.org/W2983578353","https://openalex.org/W3029446097","https://openalex.org/W3043498945","https://openalex.org/W3095320854","https://openalex.org/W3116426517","https://openalex.org/W3128465814","https://openalex.org/W3175012990","https://openalex.org/W3177208329","https://openalex.org/W3184778778","https://openalex.org/W3216639497","https://openalex.org/W4224936458","https://openalex.org/W4226236965","https://openalex.org/W4245050711","https://openalex.org/W4253461361","https://openalex.org/W4254182148","https://openalex.org/W4283810514","https://openalex.org/W4313565142","https://openalex.org/W6605505658","https://openalex.org/W6633228498","https://openalex.org/W6640526699","https://openalex.org/W6640963894","https://openalex.org/W6676722156","https://openalex.org/W6751494907","https://openalex.org/W6756749341","https://openalex.org/W6761541817","https://openalex.org/W6767475296","https://openalex.org/W6780314237","https://openalex.org/W6780482422","https://openalex.org/W6784364769"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,26,95],"multi-kernel-based":[3,220],"methods":[4],"for":[5,89,144,157,173,193,219],"outlier":[6,31,221],"detection":[7,32,222],"have":[8],"positioned":[9],"them":[10],"as":[11],"an":[12,84],"attractive":[13],"way":[14],"to":[15,81,113,121,195,216],"detect":[16],"instances":[17,70],"that":[18,50,227],"are":[19,38],"markedly":[20],"different":[21,73,178],"from":[22],"the":[23,66,103,115,129,170,206,213],"remaining":[24],"data":[25],"a":[27,40,76,91,110,141,181,188],"dataset.":[28],"Currently,":[29],"most":[30],"approaches":[33],"based":[34],"on":[35],"multi-kernel":[36],"learning":[37],"simply":[39],"convex":[41],"combination":[42,59,86,117],"of":[43,60,69,87,118,203,208],"various":[44],"kernels":[45,179],"with":[46],"handcrafted":[47],"weights,":[48],"meaning":[49],"these":[51],"weights":[52,61,88,119],"may":[53],"not":[54,63],"be":[55,99],"suitable.":[56],"Meanwhile,":[57],"this":[58,137],"does":[62],"sufficiently":[64],"consider":[65],"intrinsic":[67],"correlations":[68],"when":[71,128],"fusing":[72],"kernels.":[74],"Thus,":[75],"key":[77],"challenge":[78],"is":[79,108,134,212,229],"how":[80],"adaptively":[82],"learn":[83],"appropriate":[85],"capturing":[90],"new":[92],"feature":[93,130],"space":[94],"which":[96,167],"outliers":[97],"can":[98],"better":[100],"detected":[101],"than":[102],"original":[104],"space.":[105],"Simultaneously,":[106],"it":[107,211],"still":[109],"burning":[111],"issue":[112],"get":[114],"optimal":[116,171],"due":[120],"considerable":[122],"computational":[123],"cost":[124],"and":[125,231],"memory":[126],"usage":[127],"or":[131],"instance":[132,176],"size":[133],"large.":[135],"In":[136,184],"paper,":[138],"we":[139,186],"propose":[140],"novel":[142],"method":[143],"<underline":[145,149,153,158,162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[146,150,154,159,163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e</u>":[147],"fficient":[148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a</u>":[151],"daptive":[152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</u>":[155],"ulti-kernel":[156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">o</u>":[160],"utlier":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">d</u>":[164],"etection":[165],"(EAMOD),":[166],"automatically":[168],"learns":[169],"weight":[172],"each":[174],"training":[175,198],"under":[177],"using":[180],"non-negative":[182],"function.":[183],"addition,":[185],"design":[187],"safe":[189],"screening":[190],"rule":[191],"(SSR)":[192],"EAMOD":[194,228],"improve":[196],"its":[197],"efficiency":[199],"without":[200],"any":[201],"loss":[202],"accuracy.":[204],"To":[205],"best":[207],"our":[209],"knowledge,":[210],"first":[214],"attempt":[215],"develop":[217],"SSR":[218],"methods.":[223],"Extensive":[224],"experiments":[225],"show":[226],"effective":[230],"efficient.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}