{"id":"https://openalex.org/W2137446376","doi":"https://doi.org/10.1109/tit.2007.896890","title":"Dynamic Model Selection With its Applications to Novelty Detection","display_name":"Dynamic Model Selection With its Applications to Novelty Detection","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2137446376","doi":"https://doi.org/10.1109/tit.2007.896890","mag":"2137446376"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2007.896890","doi":"https://doi.org/10.1109/tit.2007.896890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2007.896890","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","norway-2","poland-200","russia-white-list-1"],"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 Transactions on Information Theory","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5021981442","display_name":"Kenji Yamanishi","orcid":"https://orcid.org/0000-0001-7370-9991","observed_orcids":["https://orcid.org/0000-0001-7370-9991"]},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Yamanishi","raw_affiliation_strings":["Common Platform Software Research Laboratories, NEC Corporation Limited, Kawasaki, Kanagawa, Japan","NEC Corp., Kanagawa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Common Platform Software Research Laboratories, NEC Corporation Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I118347220"]},{"raw_affiliation_string":"NEC Corp., Kanagawa","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063444144","display_name":"Yuko Maruyama","orcid":"https://orcid.org/0000-0002-4303-2489","observed_orcids":["https://orcid.org/0000-0002-4303-2489"]},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuko Maruyama","raw_affiliation_strings":["NEC Corporation Limited, Kawasaki, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.118,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.77973607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"53","issue":"6","first_page":"2180","last_page":"2189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.43630000948905945,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.43630000948905945,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.14730000495910645,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.02710000053048134,"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/dynamic-model-selection","display_name":"dynamic model selection","score":1.0},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"novelty detection","score":0.7799999713897705},{"id":"https://openalex.org/keywords/nonstationary-time-series","display_name":"non-stationary time series","score":0.8349999785423279},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"minimum description length","score":0.8539999723434448},{"id":"https://openalex.org/keywords/model-selection-algorithm","display_name":"model selection algorithm","score":0.7250000238418579},{"id":"https://openalex.org/keywords/masquerade-detection","display_name":"masquerade detection","score":0.8510000109672546},{"id":"https://openalex.org/keywords/code-length","display_name":"code length","score":0.5270000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849916219711304},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.641669511795044},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6321588754653931},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6279104351997375},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5573441982269287},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5260120630264282},{"id":"https://openalex.org/C112968700","wikidata":"https://www.wikidata.org/wiki/Q11368","display_name":"Unix","level":3,"score":0.4973199665546417},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4884628355503082},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4620012938976288},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44649070501327515},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.4204181134700775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4033995270729065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39782920479774475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32923734188079834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32611382007598877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11191463470458984},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2007.896890","doi":"https://doi.org/10.1109/tit.2007.896890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2007.896890","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","norway-2","poland-200","russia-white-list-1"],"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 Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W170307911","https://openalex.org/W1538493107","https://openalex.org/W1552339598","https://openalex.org/W1558642288","https://openalex.org/W1603903339","https://openalex.org/W1970041563","https://openalex.org/W1973704753","https://openalex.org/W1991133427","https://openalex.org/W1999120268","https://openalex.org/W2000832852","https://openalex.org/W2001245517","https://openalex.org/W2017986148","https://openalex.org/W2046868034","https://openalex.org/W2051908617","https://openalex.org/W2054658115","https://openalex.org/W2058815839","https://openalex.org/W2086699924","https://openalex.org/W2095734615","https://openalex.org/W2099111195","https://openalex.org/W2124536999","https://openalex.org/W2125779459","https://openalex.org/W2132119275","https://openalex.org/W2146855196","https://openalex.org/W2151454335","https://openalex.org/W2171911691","https://openalex.org/W2183235533","https://openalex.org/W2567948266","https://openalex.org/W2796293253","https://openalex.org/W4252386822","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2021697242","https://openalex.org/W2804553224","https://openalex.org/W7133218541","https://openalex.org/W2096176430","https://openalex.org/W7098428095","https://openalex.org/W6964579755","https://openalex.org/W7011538538","https://openalex.org/W7100848064","https://openalex.org/W2922083651","https://openalex.org/W2578607490"],"abstract_inverted_index":{"We":[0,52],"are":[1],"concerned":[2],"with":[3],"the":[4,26,43,46,61,82,85],"issue":[5,55],"of":[6,39,63,84,93],"dynamically":[7],"selecting":[8],"optimal":[9,23,40],"statistical":[10],"models":[11,41],"from":[12],"time":[13,37],"series.":[14],"The":[15],"goal":[16],"is":[17],"not":[18],"to":[19,34,105],"select":[20,35],"a":[21,36],"single":[22],"model":[24,31,57],"over":[25],"data":[27,47],"as":[28],"in":[29,91],"conventional":[30],"selection,":[32],"but":[33],"series":[38],"under":[42],"assumption":[44],"that":[45],"source":[48],"may":[49],"be":[50],"nonstationary.":[51],"call":[53],"this":[54],"dynamic":[56],"selection":[58],"(DMS).":[59],"From":[60],"standpoint":[62],"minimum":[64],"description":[65],"length":[66],"principle,":[67],"we":[68,76,102],"first":[69],"propose":[70,77],"coding-theoretic":[71],"criteria":[72,86],"for":[73],"DMS.":[74],"Next,":[75],"efficient":[78],"DMS":[79,104],"algorithms":[80],"on":[81,115],"basis":[83],"and":[87,98,108],"analyze":[88],"their":[89,94],"performance":[90],"terms":[92],"total":[95],"code":[96],"lengths":[97],"computation":[99],"time.":[100],"Finally,":[101],"apply":[103],"novelty":[106],"detection":[107,117],"demonstrate":[109],"its":[110],"effectiveness":[111],"through":[112],"empirical":[113],"results":[114],"masquerade":[116],"using":[118],"UNIX":[119],"command":[120],"sequences.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
