{"id":"https://openalex.org/W2082913149","doi":"https://doi.org/10.1109/icmlc.2010.5580497","title":"Representative sequence selection in unsupervised anomaly detection using spectrum kernel with theoretical parameter setting","display_name":"Representative sequence selection in unsupervised anomaly detection using spectrum kernel with theoretical parameter setting","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2082913149","doi":"https://doi.org/10.1109/icmlc.2010.5580497","mag":"2082913149"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5079566288","display_name":"Stefan Jan Skudlarek","orcid":null},"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":"Stefan Jan Skudlarek","raw_affiliation_strings":["Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan","Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba, 277-8561 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba, 277-8561 Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084723015","display_name":"H. Yamamoto","orcid":"https://orcid.org/0000-0001-6297-8838"},"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":"Hirosuke Yamamoto","raw_affiliation_strings":["Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan","Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba, 277-8561 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba, 277-8561 Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19506139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"2099","last_page":"2104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9926999807357788,"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.8532475233078003},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8251556158065796},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6032253503799438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6018097400665283},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5777705907821655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5580019354820251},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5202723145484924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4969976246356964},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44974592328071594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38788777589797974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38181230425834656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3637579083442688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19318750500679016}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.8532475233078003},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8251556158065796},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6032253503799438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6018097400665283},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5777705907821655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5580019354820251},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5202723145484924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4969976246356964},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44974592328071594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38788777589797974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38181230425834656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3637579083442688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19318750500679016},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W90820269","https://openalex.org/W286152367","https://openalex.org/W1566480186","https://openalex.org/W1760565668","https://openalex.org/W1973704753","https://openalex.org/W2020816856","https://openalex.org/W2103086259","https://openalex.org/W2109346781","https://openalex.org/W2141885858","https://openalex.org/W2155319834","https://openalex.org/W2158454296","https://openalex.org/W2170647963","https://openalex.org/W4252166161","https://openalex.org/W6637902766"],"related_works":["https://openalex.org/W4283580396","https://openalex.org/W2166954039","https://openalex.org/W1982789243","https://openalex.org/W2056833274","https://openalex.org/W2006209093","https://openalex.org/W2114625140","https://openalex.org/W2783425804","https://openalex.org/W158814215","https://openalex.org/W2509820422","https://openalex.org/W2033907215"],"abstract_inverted_index":{"Unsupervised":[0],"anomaly":[1,61],"detection":[2,62],"is":[3,33,63,91],"an":[4],"important":[5],"topic":[6],"of":[7,21,30,50,71,79,85,96],"data":[8,73],"mining":[9],"research,":[10],"especially":[11],"with":[12],"respect":[13],"to":[14,46,74,93],"non-numerical":[15],"sequence":[16,77,97],"data.":[17],"However,":[18],"the":[19,39,48,51,68,72,80],"majority":[20],"previous":[22],"algorithms":[23],"features":[24],"empirical":[25],"parameter":[26,49],"selection.":[27],"The":[28,65,88],"contribution":[29],"this":[31],"study":[32],"twofold:":[34],"First,":[35],"we":[36],"show":[37],"how":[38],"Akaike":[40],"Information":[41],"Criterion":[42],"can":[43],"be":[44],"used":[45],"set":[47],"spectrum":[52],"kernel.":[53],"Second,":[54],"a":[55,76],"distance-based":[56],"algorithm":[57,66,90],"for":[58],"one-class":[59],"unsupervised":[60],"presented.":[64],"uses":[67],"distance":[69],"matrix":[70],"select":[75],"representative":[78],"normal":[81],"class":[82],"by":[83],"means":[84],"robust":[86],"statistics.":[87],"proposed":[89],"applied":[92],"two":[94],"kinds":[95],"data,":[98],"showing":[99],"its":[100],"suitability.":[101]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
