{"id":"https://openalex.org/W4391094977","doi":"https://doi.org/10.1109/bigdata59044.2023.10386668","title":"Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights","display_name":"Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094977","doi":"https://doi.org/10.1109/bigdata59044.2023.10386668"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5011045620","display_name":"Chin\u2010Chia Michael Yeh","orcid":"https://orcid.org/0000-0002-9807-2963"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chin-Chia Michael Yeh","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004341287","display_name":"Huiyuan Chen","orcid":"https://orcid.org/0000-0002-6360-558X"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyuan Chen","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728265","display_name":"Xin Dai","orcid":"https://orcid.org/0000-0002-2622-7575"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Dai","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101563636","display_name":"Yan Zheng","orcid":"https://orcid.org/0000-0003-4422-9889"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yan Zheng","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916154","display_name":"Yujie Fan","orcid":"https://orcid.org/0000-0002-2635-9420"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yujie Fan","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000544794","display_name":"Vivian Lai","orcid":"https://orcid.org/0000-0003-3165-6136"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vivian Lai","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669433","display_name":"Junpeng Wang","orcid":"https://orcid.org/0000-0002-1130-9914"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Junpeng Wang","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038585109","display_name":"Audrey Der","orcid":"https://orcid.org/0000-0002-9266-5864"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Audrey Der","raw_affiliation_strings":["UC Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051096647","display_name":"Zhongfang Zhuang","orcid":"https://orcid.org/0000-0001-6717-5102"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhongfang Zhuang","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456470","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5444-748X"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087058248","display_name":"Wei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Visa Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research","institution_ids":["https://openalex.org/I164956901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19567909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1994","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9894999861717224,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9570000171661377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8296669721603394},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7437862157821655},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6286091208457947},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5414140224456787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5390865206718445},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5309664011001587},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44887709617614746},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4446582794189453},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39263176918029785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.371015340089798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30758219957351685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296669721603394},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7437862157821655},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6286091208457947},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5414140224456787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5390865206718445},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5309664011001587},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44887709617614746},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4446582794189453},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39263176918029785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.371015340089798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30758219957351685},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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":32,"referenced_works":["https://openalex.org/W2037537012","https://openalex.org/W2064675550","https://openalex.org/W2067965111","https://openalex.org/W2081028405","https://openalex.org/W2099302229","https://openalex.org/W2140310134","https://openalex.org/W2194775991","https://openalex.org/W2411707397","https://openalex.org/W2551393996","https://openalex.org/W2555077524","https://openalex.org/W2809553086","https://openalex.org/W2892035503","https://openalex.org/W2954731415","https://openalex.org/W2963097630","https://openalex.org/W2963213486","https://openalex.org/W2964199361","https://openalex.org/W2988244882","https://openalex.org/W2998196302","https://openalex.org/W3022643593","https://openalex.org/W3080427797","https://openalex.org/W3132782787","https://openalex.org/W3177318507","https://openalex.org/W4290943921","https://openalex.org/W4296591843","https://openalex.org/W4296604568","https://openalex.org/W4317927770","https://openalex.org/W4385245566","https://openalex.org/W6680830989","https://openalex.org/W6739901393","https://openalex.org/W6743923790","https://openalex.org/W6764679822","https://openalex.org/W6840390061"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Time":[0,32],"series":[1,42,53,93,110,133,156],"data":[2,111,157],"is":[3,36,126],"ubiquitous":[4],"across":[5,186],"various":[6],"domains":[7,188],"such":[8,117],"as":[9,118],"finance,":[10],"healthcare,":[11],"and":[12,122,153,189],"manufacturing,":[13],"but":[14],"their":[15],"properties":[16],"can":[17,60],"vary":[18],"significantly":[19],"depending":[20],"on":[21,50],"the":[22,64,69,72,82,89,144,172,179,183],"domain":[23,57],"they":[24],"originate":[25],"from.":[26],"The":[27],"ability":[28],"to":[29,80,141],"perform":[30],"Content-based":[31],"Series":[33],"Retrieval":[34],"(CTSR)":[35],"crucial":[37],"for":[38,151,195],"identifying":[39],"unknown":[40],"time":[41,52,74,92,109,132,155],"examples.":[43],"However,":[44],"existing":[45,173],"CTSR":[46,83,104,184],"works":[47],"typically":[48],"focus":[49],"retrieving":[51,154],"from":[54,94,112,128],"a":[55,86,103,113,129,165,191],"single":[56],"database,":[58],"which":[59],"be":[61],"inadequate":[62],"if":[63],"user":[65],"does":[66],"not":[67],"know":[68],"source":[70],"of":[71,115,181],"query":[73],"series.":[75],"This":[76,124],"limitation":[77],"motivates":[78],"us":[79],"investigate":[81],"problem":[84,185],"in":[85,143],"scenario":[87],"where":[88],"database":[90],"contains":[91],"multiple":[95,187],"domains.":[96],"To":[97],"facilitate":[98],"this":[99,159],"investigation,":[100],"we":[101,163],"introduce":[102],"benchmark":[105,160,193],"dataset":[106,125,135,194],"that":[107,170],"comprises":[108],"variety":[114],"domains,":[116],"motion,":[119],"power":[120],"demand,":[121],"traffic.":[123],"sourced":[127],"publicly":[130],"available":[131],"classification":[134],"archive,":[136],"making":[137],"it":[138],"easily":[139],"accessible":[140],"researchers":[142],"field.":[145],"We":[146],"compare":[147],"several":[148],"popular":[149],"methods":[150],"modeling":[152],"using":[158],"dataset.":[161],"Additionally,":[162],"propose":[164],"novel":[166],"distance":[167],"learning":[168],"model":[169],"outperforms":[171],"methods.":[174],"Overall,":[175],"our":[176],"study":[177],"highlights":[178],"importance":[180],"addressing":[182],"provides":[190],"useful":[192],"future":[196],"research.":[197]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}