{"id":"https://openalex.org/W2149676036","doi":"https://doi.org/10.1109/fskd.2009.285","title":"Scanning Detections of Multi-scale Significant Change-Points in Subseries Means, Variances, Trends and Correlations","display_name":"Scanning Detections of Multi-scale Significant Change-Points in Subseries Means, Variances, Trends and Correlations","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2149676036","doi":"https://doi.org/10.1109/fskd.2009.285","mag":"2149676036"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2009.285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2009.285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery","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/A5077326153","display_name":"Jianmin Jiang","orcid":"https://orcid.org/0000-0002-5893-3028"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianmin Jiang","raw_affiliation_strings":["Training Centre of China Meteorological Administration, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Training Centre of China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077326153"],"corresponding_institution_ids":["https://openalex.org/I141301092"],"apc_list":null,"apc_paid":null,"fwci":0.3511,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72890618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"44","issue":null,"first_page":"609","last_page":"613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.9684000015258789,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9204999804496765,"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/quantile","display_name":"Quantile","score":0.7394618988037109},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6132627725601196},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5844057202339172},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5478432774543762},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5204851031303406},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5193415880203247},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.4739625155925751},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46095728874206543},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.41989997029304504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4066818058490753},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.37956365942955017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2202395796775818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16760334372520447}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7394618988037109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6132627725601196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5844057202339172},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5478432774543762},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5204851031303406},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5193415880203247},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.4739625155925751},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46095728874206543},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.41989997029304504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4066818058490753},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.37956365942955017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2202395796775818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16760334372520447},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2009.285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2009.285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W203299486","https://openalex.org/W1484808083","https://openalex.org/W1522296012","https://openalex.org/W1899137462","https://openalex.org/W1978601068","https://openalex.org/W2045016811","https://openalex.org/W2049399885","https://openalex.org/W2082313778","https://openalex.org/W2092224475","https://openalex.org/W2094130406","https://openalex.org/W2108564811","https://openalex.org/W2127837468","https://openalex.org/W2149844838","https://openalex.org/W2377346827","https://openalex.org/W2531056096","https://openalex.org/W2637696426","https://openalex.org/W3010932768"],"related_works":["https://openalex.org/W3015822731","https://openalex.org/W2957280400","https://openalex.org/W2075332338","https://openalex.org/W1970221037","https://openalex.org/W4386776152","https://openalex.org/W1826709224","https://openalex.org/W2135903028","https://openalex.org/W2488034322","https://openalex.org/W2913739054","https://openalex.org/W4385820860"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"four":[3,28,135],"detecting":[4],"algorithms":[5,29,122],"of":[6,14,18,35,49,60,73,93,103,128,133,149],"multi-scale":[7],"significant":[8,129],"change":[9],"points":[10],"with":[11,98],"both":[12],"corrections":[13],"the":[15,22,32,46,57,70,95,99,134,160],"dependence":[16],"and":[17,69,102,114],"non-normal":[19,150],"distribution":[20,152],"in":[21,37,51,62,75,131,155],"series":[23,85],"to":[24,67],"be":[25],"tested.":[26],"The":[27],"are":[30],"respectively":[31],"scanning":[33,47,58,71],"t-test":[34],"changes":[36,50,61,74,130],"subseries":[38,52,63,76],"means":[39],"or":[40,54,65,79],"averages":[41],"(the":[42,86],"first":[43],"center":[44],"moment),":[45],"F-test":[48,59],"variances":[53],"standard":[55],"deviations,":[56],"trends":[64],"regressions":[66],"time,":[68],"U-test":[72],"correlation":[77],"coefficients":[78],"co-variances":[80],"for":[81,137,146],"a":[82,138,143,156],"pair":[83,139],"time":[84,119],"second":[87],"moment).":[88],"Their":[89],"common":[90],"feature":[91],"is":[92,153],"combining":[94],"classical":[96],"statistics":[97],"wavelet":[100],"algorithm,":[101],"giving":[104],"statistic":[105],"criteria":[106],"at":[107],"corresponding":[108],"confidence":[109],"as":[110,112],"well":[111],"automatic":[113],"objective":[115],"detection":[116],"on":[117],"various":[118],"scales.":[120],"These":[121],"also":[123],"carried":[124],"out":[125],"coherency":[126],"detections":[127],"each":[132],"terms":[136],"objects.":[140],"In":[141],"addition,":[142],"new":[144],"scheme":[145],"normalizing":[147],"data":[148],"probability":[151],"described":[154],"non-parameter":[157],"technique":[158],"-":[159],"quantile":[161],"method.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
