乐胖代购免代理版

{"id":"https://openalex.org/W2028207262","doi":"https://doi.org/10.1109/tkde.2010.270","title":"A Framework for Similarity Search of Time Series Cliques with Natural Relations","display_name":"A Framework for Similarity Search of Time Series Cliques with Natural Relations","publication_year":2011,"publication_date":"2011-01-03","ids":{"openalex":"https://openalex.org/W2028207262","doi":"https://doi.org/10.1109/tkde.2010.270","mag":"2028207262"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2010.270","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5062357883","display_name":"Bin Cui","orcid":"https://orcid.org/0000-0003-1681-4677"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Cui","raw_affiliation_strings":["Department of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631152","display_name":"Zhe Zhao","orcid":"https://orcid.org/0000-0003-4189-3258"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhao","raw_affiliation_strings":["Department of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089418748","display_name":"Wee Hyong Tok","orcid":"https://orcid.org/0000-0001-8346-5003"},"institutions":[],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wee Hyong Tok","raw_affiliation_strings":["Microsoft Corp, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Microsoft Corp, Singapore, Singapore","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.365,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.788883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"24","issue":"3","first_page":"385","last_page":"398"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998,"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":0.9998,"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/T11106","display_name":"Data Management and Algorithms","score":0.9889,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9662,"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/similarity","display_name":"Similarity (geometry)","score":0.65207136},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.6102305},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.5328793},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.47097325},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.43905997}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7556162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554722},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6682594},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.65207136},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6102305},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.59222955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5356104},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.5328793},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48258936},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.47097325},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.43905997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39965332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32504022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2291472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16773033},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12809846},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2010.270","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W161049316","https://openalex.org/W1975410766","https://openalex.org/W1991980054","https://openalex.org/W1993855803","https://openalex.org/W2001103857","https://openalex.org/W2058437258","https://openalex.org/W2063646365","https://openalex.org/W2063932087","https://openalex.org/W2066796814","https://openalex.org/W2072678748","https://openalex.org/W2084481683","https://openalex.org/W2106162084","https://openalex.org/W2107633943","https://openalex.org/W2114943905","https://openalex.org/W2118371392","https://openalex.org/W2130882307","https://openalex.org/W2133046526","https://openalex.org/W2141814850","https://openalex.org/W2148039410","https://openalex.org/W2148613815","https://openalex.org/W2158382689","https://openalex.org/W2161484642","https://openalex.org/W2164711546","https://openalex.org/W2167833054","https://openalex.org/W2483430316","https://openalex.org/W4254407586"],"related_works":["https://openalex.org/W4376875328","https://openalex.org/W3107710733","https://openalex.org/W3106798595","https://openalex.org/W3033216323","https://openalex.org/W2802349803","https://openalex.org/W2364202348","https://openalex.org/W2342977227","https://openalex.org/W2323025356","https://openalex.org/W2227662128","https://openalex.org/W2052451333"],"abstract_inverted_index":{"A":[0],"Time":[1],"Series":[2],"Clique":[3],"(TSC)":[4],"consists":[5],"of":[6,40,74],"multiple":[7,122],"time":[8,27,41,54,62,123],"series":[9,28,42,55,63,124],"which":[10,43],"are":[11,23,44,64],"related":[12],"to":[13,115],"each":[14],"other":[15],"by":[16],"natural":[17,20,58,118],"relations.":[18,51],"The":[19,93],"relations":[21,59,119],"that":[22,48,136,164],"found":[24],"between":[25,60,120],"the":[26,31,61,72,96,117,121,129,138,142,159],"depend":[29],"on":[30,90],"application":[32],"domains.":[33],"For":[34],"example,":[35],"a":[36,78,83,102,111,126,132],"TSC":[37,79,91,106,174],"can":[38],"consist":[39],"trajectories":[45],"in":[46,125],"video":[47],"have":[49],"spatial":[50],"In":[52,67],"conventional":[53],"retrieval,":[56],"such":[57],"not":[65],"considered.":[66],"this":[68],"paper,":[69],"we":[70,162],"formalize":[71],"problem":[73],"similarity":[75,88,134],"search":[76,89],"over":[77],"database.":[80],"We":[81,145],"develop":[82],"novel":[84,133],"framework":[85,94,130,167],"for":[86,105,173],"efficient":[87,172],"data.":[92,107],"addresses":[95],"following":[97],"issues.":[98],"First,":[99],"it":[100,109],"provides":[101],"compact":[103,139],"representation":[104,140],"Second,":[108],"uses":[110,137],"multidimensional":[112],"relation":[113,143],"vector":[114],"capture":[116],"TSC.":[127],"Lastly,":[128],"defines":[131],"measure":[135],"and":[141,154,171],"vector.":[144],"conduct":[146],"an":[147],"extensive":[148],"performance":[149,160],"study,":[150,161],"using":[151],"both":[152,169],"real-life":[153],"synthetic":[155],"data":[156],"sets.":[157],"From":[158],"show":[163],"our":[165],"proposed":[166],"is":[168],"effective":[170],"retrieval.":[175]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2028207262","counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2024-12-10T12:25:27.189219","created_date":"2016-06-24"}