{"id":"https://openalex.org/W2914231380","doi":"https://doi.org/10.1109/bibm.2018.8621440","title":"A WED Method for Evaluating the Performance of Change-Point Detection Algorithms","display_name":"A WED Method for Evaluating the Performance of Change-Point Detection Algorithms","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914231380","doi":"https://doi.org/10.1109/bibm.2018.8621440","mag":"2914231380"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5012543823","display_name":"Jinpeng Qi","orcid":"https://orcid.org/0000-0002-9252-4076"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Peng Qi","raw_affiliation_strings":["College of Information Science & Technology, Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science & Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639619","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0003-0949-0475"},"institutions":[{"id":"https://openalex.org/I2800079252","display_name":"Royal North Shore Hospital","ror":"https://ror.org/02gs2e959","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I2800079252"]},{"id":"https://openalex.org/I4210154888","display_name":"Hunter New England Local Health District","ror":"https://ror.org/050b31k83","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I4210154888"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["Hunter New England Health, Royal North Shore Hospital, New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunter New England Health, Royal North Shore Hospital, New South Wales, Australia","institution_ids":["https://openalex.org/I2800079252","https://openalex.org/I4210154888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405781","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0001-9163-6191"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["Menzies Health Institute, Griffith University, Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Menzies Health Institute, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30733945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1406","last_page":"1410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T13283","display_name":"Mental Health Research Topics","score":0.9406999945640564,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6847516894340515},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.65535968542099},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6468881368637085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371588706970215},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5294315814971924},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45485949516296387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3323584496974945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30508357286453247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2752193212509155}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6847516894340515},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.65535968542099},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6468881368637085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371588706970215},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5294315814971924},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45485949516296387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3323584496974945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30508357286453247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2752193212509155},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm.2018.8621440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/384002","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/384002","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W40005850","https://openalex.org/W1580015052","https://openalex.org/W1601129096","https://openalex.org/W1602011302","https://openalex.org/W1608031639","https://openalex.org/W1966483162","https://openalex.org/W1988540031","https://openalex.org/W2000692032","https://openalex.org/W2013971816","https://openalex.org/W2019016146","https://openalex.org/W2045064676","https://openalex.org/W2119556746","https://openalex.org/W2134089587","https://openalex.org/W2172697690","https://openalex.org/W2341105960","https://openalex.org/W2444079754","https://openalex.org/W2515822248","https://openalex.org/W2593909786","https://openalex.org/W2793908390","https://openalex.org/W2799871091","https://openalex.org/W6601662407"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2388648383","https://openalex.org/W2049371295"],"abstract_inverted_index":{"Change":[0],"point":[1,97,103],"detection":[2],"(CPD)":[3],"is":[4,61],"to":[5,34,63,87,129,154],"find":[6],"the":[7,24,36,40,45,49,65,91,100,115,131,146,155,159],"abrupt":[8],"changes":[9],"in":[10],"a":[11,54,69],"time":[12,74,110],"series.":[13,111],"Various":[14],"computational":[15],"algorithms":[16],"have":[17,31],"been":[18,32],"developed":[19],"for":[20,157],"CPD.":[21],"To":[22],"compare":[23],"different":[25,46,77,124,132],"CPD":[26,70,133,162],"models,":[27,134],"many":[28],"performance":[29,67,160],"metrics":[30,117],"introduced":[33,86],"evaluate":[35,64,130],"algorithms.":[37,141],"Each":[38],"of":[39,48,68,76,81,90,148,161],"previous":[41],"evaluation":[42],"methods":[43],"measures":[44],"aspect":[47],"methods.":[50],"In":[51,112],"this":[52,113,149],"paper,":[53],"new":[55],"weighted":[56],"error":[57,83],"distance":[58,84],"(WED)":[59],"method":[60,151],"proposed":[62],"overall":[66],"model":[71],"across":[72],"multiple":[73,109],"series":[75],"lengths.":[78],"A":[79],"concept":[80],"normalized":[82],"was":[85,118],"allow":[88],"comparison":[89],"distances":[92],"between":[93],"an":[94],"estimated":[95],"change":[96,102],"position":[98],"and":[99,127,139],"target":[101],"among":[104],"models":[105],"that":[106,152],"work":[107],"on":[108,120],"study,":[114],"WED":[116,150],"applied":[119],"synthetic":[121],"datasets":[122],"with":[123],"sample":[125],"sizes":[126],"variances":[128],"including:":[135],"Kolmogorov-Smirnov":[136],"(KS),":[137],"SSA":[138],"T":[140],"The":[142],"test":[143],"results":[144],"showed":[145],"value":[147],"contributes":[153],"methodology":[156],"evaluating":[158],"models.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}