{"id":"https://openalex.org/W3133003026","doi":"https://doi.org/10.1109/mis.2021.3057914","title":"Isolation Forest Based Anomaly Detection Framework on Non-IID Data","display_name":"Isolation Forest Based Anomaly Detection Framework on Non-IID Data","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3133003026","doi":"https://doi.org/10.1109/mis.2021.3057914","mag":"3133003026"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2021.3057914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2021.3057914","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","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/A5003553958","display_name":"Haolong Xiang","orcid":"https://orcid.org/0000-0003-4565-8829"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Haolong Xiang","raw_affiliation_strings":["The University of Auckland, Auckland, New Zealand"],"raw_orcid":"https://orcid.org/0000-0003-4565-8829","affiliations":[{"raw_affiliation_string":"The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368334","display_name":"Jiayu Wang","orcid":"https://orcid.org/0000-0003-4497-2891"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiayu Wang","raw_affiliation_strings":["Department of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069895484","display_name":"Kotagiri Ramamohanarao","orcid":"https://orcid.org/0000-0003-3304-9268"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kotagiri Ramamohanarao","raw_affiliation_strings":["Department of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088166627","display_name":"Zoran Sal\u010di\u0107","orcid":"https://orcid.org/0000-0001-7714-9848"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Zoran Salcic","raw_affiliation_strings":["The University of Auckland, Auckland, New Zealand"],"raw_orcid":"https://orcid.org/0000-0001-7714-9848","affiliations":[{"raw_affiliation_string":"The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038791483","display_name":"Wanchun Dou","orcid":"https://orcid.org/0000-0003-4833-2023"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanchun Dou","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4833-2023","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076120553","display_name":"Xuyun Zhang","orcid":"https://orcid.org/0000-0001-7353-4159"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuyun Zhang","raw_affiliation_strings":["Macquarie University, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7353-4159","affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9108,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87825581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"36","issue":"3","first_page":"31","last_page":"40"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.7977883815765381},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7219339609146118},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.6595796942710876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6534753441810608},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5914356708526611},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5212388634681702},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4794125258922577},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4406163990497589},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4199764132499695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3869709074497223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3412662148475647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977883815765381},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7219339609146118},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.6595796942710876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6534753441810608},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5914356708526611},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5212388634681702},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4794125258922577},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4406163990497589},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4199764132499695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3869709074497223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3412662148475647},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2021.3057914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2021.3057914","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7200000286102295,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G7257231884","display_name":"Scalable and Deep Anomaly Detection from Big Data with Similarity Hashing","funder_award_id":"DE210101458","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1560256462","https://openalex.org/W1598260899","https://openalex.org/W1968701380","https://openalex.org/W1995443851","https://openalex.org/W2012609801","https://openalex.org/W2097714558","https://openalex.org/W2129875280","https://openalex.org/W2616332741","https://openalex.org/W2783205364","https://openalex.org/W2944250323"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,47],"is":[2,38,90],"a":[3,11,35,39,44,68,136],"significant":[4],"but":[5],"challenging":[6],"data":[7,27,83],"mining":[8],"task":[9],"in":[10,57],"wide":[12],"range":[13,139],"of":[14,26,111,122,140,158],"applications.":[15,62],"Different":[16],"domains":[17],"usually":[18],"use":[19],"different":[20],"ways":[21],"to":[22,29,42,82,133],"measure":[23,142],"the":[24,31,94,107,120,154],"characteristics":[25],"and":[28,109,149,156],"define":[30],"anomaly":[32,46,115],"types.":[33,143],"As":[34],"result,":[36],"it":[37],"big":[40],"challenge":[41],"develop":[43],"versatile":[45],"framework":[48,74,118],"that":[49,128],"can":[50,78,104,129],"be":[51,79,131],"universally":[52,80],"applied":[53,81,132],"with":[54,85,98,135],"satisfactory":[55],"performance":[56],"most,":[58],"if":[59],"not":[60],"all,":[61],"In":[63],"this":[64],"article,":[65],"we":[66],"propose":[67],"generic":[69],"isolation":[70,95,112,124],"forest":[71,96,113,125],"based":[72,114,126],"ensemble":[73],"named":[75],"EDBHiForest,":[76],"which":[77,103],"spaces":[84],"arbitrary":[86],"distance":[87,141],"measures.":[88],"It":[89],"realized":[91],"through":[92],"embedding":[93],"structure":[97],"extended":[99],"distance-based":[100],"hashing":[101],"(EDBH),":[102],"significantly":[105],"enhance":[106],"versatility":[108],"applicability":[110],"detection.":[116],"This":[117],"overcomes":[119],"limitations":[121],"existing":[123],"methods":[127],"only":[130],"datasets":[134,152],"very":[137],"limited":[138],"Extensive":[144],"experiments":[145],"on":[146],"various":[147],"non-independent":[148],"identically":[150],"distributed":[151],"demonstrate":[153],"effectiveness":[155],"efficiency":[157],"our":[159],"approach.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
