{"id":"https://openalex.org/W2000339673","doi":"https://doi.org/10.1145/2619287.2619290","title":"Towards an NLP-based log template generation algorithm for system log analysis","display_name":"Towards an NLP-based log template generation algorithm for system log analysis","publication_year":2014,"publication_date":"2014-06-10","ids":{"openalex":"https://openalex.org/W2000339673","doi":"https://doi.org/10.1145/2619287.2619290","mag":"2000339673"},"language":"en","primary_location":{"id":"doi:10.1145/2619287.2619290","doi":"https://doi.org/10.1145/2619287.2619290","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2619287.2619290","pdf_url":null,"source":{"id":"https://openalex.org/S4306419475","display_name":"International Conference on Future Internet Technologies","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Ninth International Conference on Future Internet Technologies","raw_type":"proceedings-article"},"volume":null,"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/A5102837481","display_name":"Satoru Kobayashi","orcid":"https://orcid.org/0000-0003-1017-0938","observed_orcids":["https://orcid.org/0000-0003-1017-0938"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoru Kobayashi","raw_affiliation_strings":["University of Tokyo","university of Tokyo;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"university of Tokyo;","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814201","display_name":"Kensuke Fukuda","orcid":"https://orcid.org/0000-0001-8372-2807","observed_orcids":["https://orcid.org/0000-0001-8372-2807"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kensuke Fukuda","raw_affiliation_strings":["NII","[NII]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NII","institution_ids":[]},{"raw_affiliation_string":"[NII]","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052106822","display_name":"Hiroshi Esaki","orcid":"https://orcid.org/0000-0001-5657-9216","observed_orcids":["https://orcid.org/0000-0001-5657-9216"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Esaki","raw_affiliation_strings":["University of Tokyo","university of Tokyo;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"university of Tokyo;","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5523,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.8208853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9750999808311462,"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":0.9750999808311462,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.0017000000225380063,"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/T12203","display_name":"Mobile Agent-Based Network Management","score":0.001500000013038516,"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/system-log-analysis","display_name":"system log analysis","score":0.9330000281333923},{"id":"https://openalex.org/keywords/conditional-random-fields","display_name":"conditional random fields","score":0.8500000238418579},{"id":"https://openalex.org/keywords/network-troubleshooting","display_name":"network troubleshooting","score":0.6800000071525574},{"id":"https://openalex.org/keywords/virtual-networks","display_name":"virtual networks","score":0.8339999914169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921895980834961},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7683371305465698},{"id":"https://openalex.org/C195292467","wikidata":"https://www.wikidata.org/wiki/Q2091879","display_name":"Log-log plot","level":3,"score":0.5757508277893066},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5430483222007751},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.5048125982284546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47406333684921265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4635545313358307},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4505314826965332},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.44213777780532837},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3604925870895386},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3542281985282898},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.335601270198822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3284049332141876},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10972273349761963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09183281660079956},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2619287.2619290","doi":"https://doi.org/10.1145/2619287.2619290","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2619287.2619290","pdf_url":null,"source":{"id":"https://openalex.org/S4306419475","display_name":"International Conference on Future Internet Technologies","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Ninth International Conference on Future Internet Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1661413208","https://openalex.org/W1965626898","https://openalex.org/W1984578990","https://openalex.org/W1996289178","https://openalex.org/W2039157918","https://openalex.org/W2145948275","https://openalex.org/W2146341912","https://openalex.org/W2147880316","https://openalex.org/W2156515921","https://openalex.org/W2160584628"],"related_works":["https://openalex.org/W2005615533","https://openalex.org/W1529311266","https://openalex.org/W2065008672","https://openalex.org/W2047234016","https://openalex.org/W1608733163","https://openalex.org/W1543920729","https://openalex.org/W2623150993","https://openalex.org/W2055932080","https://openalex.org/W2950408827","https://openalex.org/W4300573564"],"abstract_inverted_index":{"System":[0],"log":[1,16,27,43,50,74,77,138],"from":[2,48,76],"network":[3,13,36,81,118],"equipment":[4,82,119],"is":[5,53,95],"one":[6,116],"of":[7,26,59,92,100,136],"the":[8,93,98,134],"most":[9],"important":[10],"information":[11],"for":[12,29],"management.":[14],"Sophisticated":[15],"message":[17],"mining":[18],"could":[19],"help":[20],"in":[21,33,57,83,121,140],"investigating":[22],"a":[23,66,105,122,146],"huge":[24],"number":[25],"messages":[28,51,78],"trouble":[30],"shooting,":[31],"especially":[32],"recent":[34],"complicated":[35],"structure":[37],"(e.g.,":[38],"virtualized":[39],"networks).":[40],"However,":[41],"generating":[42],"templates":[44,75,139],"(i.e.,":[45],"meta":[46],"format)":[47],"real":[49],"(instances)":[52],"still":[54],"difficult":[55],"problem":[56],"terms":[58],"accuracy.":[60],"In":[61],"this":[62,87],"paper":[63],"we":[64,126],"propose":[65],"Natural":[67],"Language":[68],"Processing":[69],"(NLP)":[70],"approach":[71],"to":[72,85,96],"generate":[73],"produced":[79],"by":[80],"order":[84],"overcome":[86],"problem.":[88],"The":[89],"key":[90],"idea":[91],"work":[94],"leverage":[97],"use":[99],"Conditional":[101],"Random":[102],"Fields":[103],"(CRF),":[104],"well-studied":[106],"supervised":[107],"natural":[108],"language":[109],"processing":[110,142],"technique.":[111],"As":[112],"preliminarily":[113],"evaluation,":[114],"with":[115,145],"month":[117],"logs":[120],"Japanese":[123],"academic":[124],"network,":[125],"show":[127],"that":[128],"our":[129],"CRF":[130],"based":[131],"algorithm":[132],"improves":[133],"accuracy":[135],"generated":[137],"reasonable":[141],"time,":[143],"compared":[144],"traditional":[147],"method.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}
