{"id":"https://openalex.org/W2025467181","doi":"https://doi.org/10.1145/1529282.1529617","title":"Online annotation and prediction for regime switching data streams","display_name":"Online annotation and prediction for regime switching data streams","publication_year":2009,"publication_date":"2009-03-08","ids":{"openalex":"https://openalex.org/W2025467181","doi":"https://doi.org/10.1145/1529282.1529617","mag":"2025467181"},"language":"en","primary_location":{"id":"doi:10.1145/1529282.1529617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1529282.1529617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2009 ACM symposium on Applied Computing","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/A5065768077","display_name":"Gordon J. Ross","orcid":"https://orcid.org/0000-0003-2092-0106"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gordon J. Ross","raw_affiliation_strings":["Imperial College London","Imperial College London,#TAB#"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London,#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111466082","display_name":"Dimitris K. Tasoulis","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dimitris K. Tasoulis","raw_affiliation_strings":["Imperial College London","Imperial College London,#TAB#"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London,#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001575774","display_name":"Niall M. Adams","orcid":"https://orcid.org/0000-0003-0342-0513"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Niall M. Adams","raw_affiliation_strings":["Imperial College London","Imperial College London,#TAB#"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London,#TAB#","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065768077"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":3.9257,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93591278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1501","last_page":"1505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.996999979019165,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.996999979019165,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8448249101638794},{"id":"https://openalex.org/keywords/cusum","display_name":"CUSUM","score":0.7872341275215149},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7198917865753174},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.693266749382019},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6624555587768555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6178714036941528},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5537291765213013},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4956601858139038},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4524837136268616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3424641788005829},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.340908944606781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8448249101638794},{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.7872341275215149},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7198917865753174},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.693266749382019},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6624555587768555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6178714036941528},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5537291765213013},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4956601858139038},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4524837136268616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3424641788005829},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.340908944606781},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1529282.1529617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1529282.1529617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2009 ACM symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2913530639","display_name":null,"funder_award_id":"EP/C548 051/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1492221128","https://openalex.org/W1514937862","https://openalex.org/W1531653575","https://openalex.org/W1964985688","https://openalex.org/W1965666958","https://openalex.org/W1997184885","https://openalex.org/W1997336782","https://openalex.org/W1998311953","https://openalex.org/W2020970176","https://openalex.org/W2044535354","https://openalex.org/W2051903196","https://openalex.org/W2074231493","https://openalex.org/W2089201452","https://openalex.org/W2094373571","https://openalex.org/W2102716594","https://openalex.org/W2105594594","https://openalex.org/W2118506357","https://openalex.org/W2131604247","https://openalex.org/W2140434697","https://openalex.org/W2155558253","https://openalex.org/W2167770337","https://openalex.org/W4230704549","https://openalex.org/W4249116379"],"related_works":["https://openalex.org/W2056974159","https://openalex.org/W2753583628","https://openalex.org/W2138199368","https://openalex.org/W1788036421","https://openalex.org/W4301776783","https://openalex.org/W2105425943","https://openalex.org/W2910753852","https://openalex.org/W4307934096","https://openalex.org/W4390691386","https://openalex.org/W2115962466"],"abstract_inverted_index":{"Regime":[0],"switching":[1],"models,":[2],"in":[3,64],"which":[4,60],"the":[5,8,32,78,129],"state":[6],"of":[7,35,48,59,67,74],"world":[9],"is":[10,123,131],"locally":[11],"stationary,":[12],"are":[13],"a":[14,65,71,98,106],"useful":[15],"abstraction":[16],"for":[17,31],"many":[18],"continuous":[19],"valued":[20],"data":[21,41,113],"streams.":[22],"In":[23],"this":[24,75,116],"paper":[25],"we":[26],"develop":[27],"an":[28,120],"online":[29],"framework":[30,46,76],"challenging":[33],"problem":[34],"jointly":[36],"predicting":[37],"and":[38,55,86],"annotating":[39],"streaming":[40],"as":[42],"it":[43],"arrives.":[44],"The":[45,93],"consists":[47],"three":[49],"sequential":[50],"modules:":[51],"prediction,":[52],"change":[53,87],"detection":[54,88],"regime":[56],"annotation,":[57],"each":[58,101],"may":[61],"be":[62],"instantiated":[63],"number":[66],"ways.":[68],"We":[69],"describe":[70],"specific":[72],"realisation":[73],"with":[77,100,111,125,133],"prediction":[79],"module":[80],"implemented":[81,89,103],"using":[82,90,105],"recursive":[83],"least":[84],"squares,":[85],"CUSUM":[91],"techniques.":[92],"annotation":[94,121],"step":[95],"involves":[96],"associating":[97],"label":[99],"regime,":[102],"here":[104],"confidence":[107],"interval":[108],"approach.":[109],"Experiments":[110],"simulated":[112],"show":[114],"that":[115,122],"methodology":[117],"can":[118],"provide":[119],"consistent":[124],"ground":[126],"truth.":[127],"Finally,":[128],"method":[130],"illustrated":[132],"foreign":[134],"exchange":[135],"data.":[136]},"counts_by_year":[{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}