{"id":"https://openalex.org/W2742730860","doi":"https://doi.org/10.1109/isit.2017.8007125","title":"Enhanced MDL with application to atypicality","display_name":"Enhanced MDL with application to atypicality","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2742730860","doi":"https://doi.org/10.1109/isit.2017.8007125","mag":"2742730860"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8007125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8007125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5063883439","display_name":"Elyas Sabeti","orcid":"https://orcid.org/0000-0003-2706-1594"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elyas Sabeti","raw_affiliation_strings":["Department of Electrical Engineering, University of Hawaii, Manoa Honolulu, HI"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Hawaii, Manoa Honolulu, HI","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081304126","display_name":"Anders H\u00f8st-Madsen","orcid":"https://orcid.org/0000-0002-1472-4953"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anders Host-Madsen","raw_affiliation_strings":["Department of Electrical Engineering, University of Hawaii, Manoa Honolulu, HI"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Hawaii, Manoa Honolulu, HI","institution_ids":["https://openalex.org/I117965899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063883439"],"corresponding_institution_ids":["https://openalex.org/I117965899"],"apc_list":null,"apc_paid":null,"fwci":0.5548,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65038294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3225","last_page":"3229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9944999814033508,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/minimum-description-length","display_name":"Minimum description length","score":0.924883246421814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190948486328125},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6085288524627686},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5463512539863586},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5051818490028381},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.44315725564956665},{"id":"https://openalex.org/keywords/probability-and-statistics","display_name":"Probability and statistics","score":0.4383857846260071},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43115493655204773},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.4114105999469757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38794776797294617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3776059150695801},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34410524368286133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3326473832130432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3007451891899109},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2961493134498596},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09733989834785461}],"concepts":[{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.924883246421814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190948486328125},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6085288524627686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5463512539863586},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5051818490028381},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.44315725564956665},{"id":"https://openalex.org/C43596424","wikidata":"https://www.wikidata.org/wiki/Q98124957","display_name":"Probability and statistics","level":2,"score":0.4383857846260071},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43115493655204773},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.4114105999469757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38794776797294617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3776059150695801},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34410524368286133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3326473832130432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3007451891899109},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2961493134498596},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09733989834785461},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8007125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8007125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","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":12,"referenced_works":["https://openalex.org/W1533169541","https://openalex.org/W1578953027","https://openalex.org/W1641187264","https://openalex.org/W1968908999","https://openalex.org/W2024113512","https://openalex.org/W2038819732","https://openalex.org/W2054658115","https://openalex.org/W2106596127","https://openalex.org/W2132119275","https://openalex.org/W2582697902","https://openalex.org/W3123545922","https://openalex.org/W4388297583"],"related_works":["https://openalex.org/W4298831272","https://openalex.org/W2962916388","https://openalex.org/W2086694237","https://openalex.org/W2095614499","https://openalex.org/W2489956408","https://openalex.org/W349256592","https://openalex.org/W2888188966","https://openalex.org/W3208786872","https://openalex.org/W2990812465","https://openalex.org/W3038785057"],"abstract_inverted_index":{"With":[0],"the":[1,8,30,43,56,66],"enormous":[2],"amount":[3],"of":[4,13,35,48,78,125,133],"data":[5,31,50],"generated":[6],"through":[7],"internet":[9],"and":[10,55,121,127],"sensors,":[11],"Internet":[12],"Things,":[14],"it":[15,23,85],"becomes":[16],"too":[17],"overwhelming":[18],"for":[19,109,151],"humans":[20],"to":[21,28,32,73,99,114,117],"examine":[22],"all.":[24],"One":[25],"solution":[26],"is":[27,42,51,86,98],"reduce":[29],"a":[33,107,143],"set":[34],"statistics.":[36],"The":[37],"perspective":[38],"in":[39,89],"this":[40,49,139],"paper":[41,140],"opposite,":[44],"namely":[45],"that":[46,61,68,148],"most":[47],"just":[52],"background":[53,64],"noise,":[54,65],"interesting":[57],"parts":[58,67,77],"are":[59,69,82,93],"those":[60],"deviate":[62],"from":[63],"atypical.":[70],"In":[71,138],"order":[72],"find":[74,118],"such":[75],"\u201cinteresting\u201d":[76],"data,":[79,126],"universal":[80],"approaches":[81],"required,":[83],"since":[84],"not":[87],"known":[88],"advance":[90],"what":[91],"we":[92,128,141],"looking":[94],"for.":[95],"Our":[96],"approach":[97],"use":[100],"Rissanen's":[101],"minimum":[102],"description":[103],"length":[104],"(MDL)":[105],"as":[106],"tool":[108],"that.":[110],"We":[111],"would":[112],"like":[113],"be":[115],"able":[116],"both":[119],"short":[120,152],"long":[122],"atypical":[123],"sequences":[124],"therefore":[129],"need":[130],"accurate":[131],"expressions":[132],"MDL,":[134],"without":[135],"prior":[136],"assumptions.":[137],"develop":[142],"modified":[144],"predictive":[145],"MDL":[146],"method":[147],"works":[149],"better":[150],"sequences.":[153]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
