{"id":"https://openalex.org/W2155335011","doi":"https://doi.org/10.1145/2505515.2505746","title":"Local correlation detection with linearity enhancement in streaming data","display_name":"Local correlation detection with linearity enhancement in streaming data","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2155335011","doi":"https://doi.org/10.1145/2505515.2505746","mag":"2155335011"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2505746","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","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/A5013657140","display_name":"Qing Xie","orcid":"https://orcid.org/0000-0003-4530-588X"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Qing Xie","raw_affiliation_strings":["King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102754146","display_name":"Shuo Shang","orcid":"https://orcid.org/0000-0002-1117-2890"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shang","raw_affiliation_strings":["China University of Petroleum-Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum-Beijing, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032061647","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0003-2169-0007"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068251664","display_name":"Chaoyi Pang","orcid":"https://orcid.org/0000-0001-7038-3789"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chaoyi Pang","raw_affiliation_strings":["The Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013657140"],"corresponding_institution_ids":["https://openalex.org/I71920554"],"apc_list":null,"apc_paid":null,"fwci":0.9643,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.77098708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/linearity","display_name":"Linearity","score":0.7519422769546509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323905229568481},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.7079483866691589},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.662956953048706},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6200157999992371},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5816769599914551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5660403370857239},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5060576796531677},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.47274553775787354},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4212288558483124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3892247974872589},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.38921231031417847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3640173077583313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22356688976287842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1267956793308258},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07997891306877136}],"concepts":[{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.7519422769546509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323905229568481},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.7079483866691589},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.662956953048706},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6200157999992371},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5816769599914551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5660403370857239},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5060576796531677},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.47274553775787354},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4212288558483124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3892247974872589},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.38921231031417847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3640173077583313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22356688976287842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1267956793308258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07997891306877136},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2505515.2505746","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.2979","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.2979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://boyuan.global-optimization.com/Mypaper/CIKM-2013.pdf","raw_type":"text"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/564666","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/564666","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"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 Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1574567355","https://openalex.org/W1826290430","https://openalex.org/W1966826021","https://openalex.org/W1989618704","https://openalex.org/W2036557187","https://openalex.org/W2039843363","https://openalex.org/W2058414302","https://openalex.org/W2058437258","https://openalex.org/W2088960431","https://openalex.org/W2091921805","https://openalex.org/W2098089331","https://openalex.org/W2100851133","https://openalex.org/W2107633943","https://openalex.org/W2111483789","https://openalex.org/W2121246530","https://openalex.org/W2124937264","https://openalex.org/W2128061541","https://openalex.org/W2138612638","https://openalex.org/W2153214875","https://openalex.org/W2162193833","https://openalex.org/W2163336863","https://openalex.org/W4213385517","https://openalex.org/W4242094059","https://openalex.org/W6634450013"],"related_works":["https://openalex.org/W4360995307","https://openalex.org/W2167004500","https://openalex.org/W1572762191","https://openalex.org/W2059461309","https://openalex.org/W2375516608","https://openalex.org/W2106570241","https://openalex.org/W3207785250","https://openalex.org/W4382459699","https://openalex.org/W6445124","https://openalex.org/W1994168535"],"abstract_inverted_index":{"This":[0,85],"paper":[1,86],"addresses":[2],"the":[3,7,16,52,56,64,68,73,93,103,125,129,137,150,153,161,170],"challenges":[4],"in":[5,35,40,83,157],"detecting":[6],"potential":[8],"correlation":[9,29,53,65,70,94],"between":[10,95],"numerical":[11],"data":[12,19,96],"streams,":[13,42],"which":[14,32,79,127],"facilitates":[15],"research":[17],"of":[18,75,139,143,172,183],"stream":[20],"mining":[21],"and":[22,43,55,152],"pattern":[23],"discovery.":[24],"We":[25],"focus":[26],"on":[27,51,102],"local":[28],"with":[30,112],"delay,":[31],"may":[33],"occur":[34],"burst":[36],"at":[37],"different":[38,41],"time":[39,57,113],"last":[44],"for":[45,163],"a":[46,120],"limited":[47],"period.":[48],"The":[49,141,166],"uncertainty":[50],"occurrence":[54],"delay":[58,114],"make":[59,108],"it":[60],"difficult":[61],"to":[62,90,107,135],"monitor":[63],"online.":[66],"Furthermore,":[67],"conventional":[69],"measure":[71,123],"lacks":[72],"ability":[74],"reflecting":[76],"visual":[77],"linearity,":[78],"is":[80,100],"more":[81,179],"desirable":[82],"reality.":[84],"proposes":[87],"effective":[88],"methods":[89],"continuously":[91],"detect":[92],"streams.":[97],"Our":[98],"approach":[99],"based":[101],"Discrete":[104],"Fourier":[105],"Transform":[106],"rapid":[109],"cross-correlation":[110],"calculation":[111],"allowed.":[115],"In":[116],"addition,":[117],"we":[118],"introduce":[119],"shape-based":[121],"similarity":[122,142],"into":[124],"framework,":[126],"refines":[128],"results":[130],"by":[131],"representative":[132],"trend":[133],"patterns":[134],"enhance":[136],"significance":[138],"linearity.":[140],"proposed":[144],"linear":[145],"representations":[146],"can":[147],"quickly":[148],"estimate":[149],"correlation,":[151],"window":[154],"sliding":[155],"strategy":[156],"segment":[158],"level":[159],"improves":[160],"efficiency":[162],"online":[164],"detection.":[165],"empirical":[167],"study":[168],"demonstrates":[169],"accuracy":[171],"our":[173],"detection":[174],"approach,":[175],"as":[176,178],"well":[177],"than":[180],"$30\\%$":[181],"improvement":[182],"efficiency.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}