{"id":"https://openalex.org/W4285263240","doi":"https://doi.org/10.1109/jiot.2022.3178873","title":"Domain Adaptive Log Anomaly Prediction for Hadoop System","display_name":"Domain Adaptive Log Anomaly Prediction for Hadoop System","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4285263240","doi":"https://doi.org/10.1109/jiot.2022.3178873"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3178873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3178873","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5066161006","display_name":"Yuxia Xie","orcid":"https://orcid.org/0000-0001-9779-2769"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxia Xie","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9779-2769","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420873","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0002-5983-198X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5983-198X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066161006"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":1.8547,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85830875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"9","issue":"20","first_page":"20778","last_page":"20787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9930999875068665,"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":0.9857000112533569,"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":0.8755145072937012},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6234409213066101},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6227672100067139},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5978711247444153},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5067852139472961},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49730971455574036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4674810767173767},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4512275457382202},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4237788915634155},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.4179891347885132},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20216327905654907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8755145072937012},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6234409213066101},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6227672100067139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5978711247444153},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5067852139472961},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49730971455574036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4674810767173767},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4512275457382202},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4237788915634155},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.4179891347885132},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20216327905654907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3178873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3178873","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.75,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G5975532895","display_name":null,"funder_award_id":"61771013","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W429766147","https://openalex.org/W1661413208","https://openalex.org/W1854079585","https://openalex.org/W1854214752","https://openalex.org/W1976526581","https://openalex.org/W2027380800","https://openalex.org/W2039157918","https://openalex.org/W2094924503","https://openalex.org/W2096017373","https://openalex.org/W2105454049","https://openalex.org/W2105947650","https://openalex.org/W2110086534","https://openalex.org/W2114554028","https://openalex.org/W2119738171","https://openalex.org/W2126529005","https://openalex.org/W2141041105","https://openalex.org/W2173213060","https://openalex.org/W2296719434","https://openalex.org/W2489406233","https://openalex.org/W2508465325","https://openalex.org/W2547793278","https://openalex.org/W2560021099","https://openalex.org/W2585367509","https://openalex.org/W2755791218","https://openalex.org/W2766391153","https://openalex.org/W2767094836","https://openalex.org/W2775610113","https://openalex.org/W2804315071","https://openalex.org/W2807975761","https://openalex.org/W2885618505","https://openalex.org/W2898998129","https://openalex.org/W2962687275","https://openalex.org/W2964304846","https://openalex.org/W2965838158","https://openalex.org/W2968172454","https://openalex.org/W2984814613","https://openalex.org/W2995564009","https://openalex.org/W3040857534","https://openalex.org/W3100214273","https://openalex.org/W3164039816","https://openalex.org/W3183619936","https://openalex.org/W6607881844","https://openalex.org/W6632550495","https://openalex.org/W6639055396","https://openalex.org/W6685444988","https://openalex.org/W6687322159","https://openalex.org/W6712994927"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W2066625485","https://openalex.org/W4399531511"],"abstract_inverted_index":{"Hadoop":[0,29,213],"provides":[1],"a":[2,17,100,138],"powerful":[3],"platform":[4],"that":[5,31,57,151,188],"allows":[6],"reliable,":[7],"scalable,":[8],"and":[9,37,43,49,92,156,168,201],"distributed":[10],"processing":[11],"of":[12,19,51,79,158,176,208],"massive":[13],"data":[14,22,71,86,118,126,170,215],"sets":[15,72,87,171],"across":[16],"cluster":[18],"computers.":[20],"Log":[21],"record":[23],"events":[24],"taken":[25],"place":[26],"in":[27,206],"the":[28,47,54,61,66,77,80,115,123,148,153,174,177,194],"system":[30,35,41,63,159],"helps":[32],"to":[33,109,122,146,172],"understand":[34],"activities":[36],"diagnose":[38],"problems.":[39],"However,":[40],"upgrades":[42],"updates":[44],"often":[45,89],"change":[46],"syntax":[48],"patterns":[50],"logs,":[52],"rendering":[53],"machine-learning":[55,67,81],"models":[56,68],"were":[58],"designed":[59],"for":[60,197],"legacy":[62],"ineffective.":[64],"Retraining":[65],"with":[69],"new":[70,85,124],"from":[73,114],"scratch":[74],"might":[75],"improve":[76],"accuracy":[78],"model.":[82],"Nevertheless,":[83],"annotating":[84],"is":[88],"time":[90],"consuming":[91],"labor":[93],"intensive.":[94],"In":[95],"this":[96],"article,":[97],"we":[98],"propose":[99],"domain":[101,134,149],"adaptive":[102],"log":[103,199],"anomaly":[104,140],"prediction":[105],"framework":[106,179],"called":[107],"LogAT":[108,189],"effectively":[110],"transfer":[111],"learned":[112],"knowledge":[113,141,150],"existing":[116],"labeled":[117],"set":[119,127],"(source":[120],"domain)":[121,129],"unlabeled":[125],"(target":[128],"by":[130],"adopting":[131],"an":[132],"unsupervised":[133],"adaption":[135],"method.":[136],"Furthermore,":[137],"hierarchical":[139],"graph":[142],"has":[143],"been":[144,164],"constructed":[145],"represent":[147],"facilitates":[152],"subsequent":[154],"detection":[155],"diagnosis":[157],"faults.":[160],"Extensive":[161],"experiments":[162],"have":[163],"conducted":[165],"on":[166,211],"public":[167],"real-world":[169],"validate":[173],"effectiveness":[175],"proposed":[178],"as":[180,182],"well":[181],"each":[183],"module.":[184],"Our":[185],"results":[186],"show":[187],"achieves":[190],"superior":[191],"performance":[192,204],"over":[193],"state-of-the-art":[195],"methods":[196],"predicting":[198],"anomalies":[200],"acquiring":[202],"considerable":[203],"improvement":[205],"terms":[207],"AUC-ROC":[209],"score":[210],"different":[212],"application":[214],"sets.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
