{"id":"https://openalex.org/W2107856142","doi":"https://doi.org/10.1109/tkde.2003.1198399","title":"Haar wavelets for efficient similarity search of time-series: with and without time warping","display_name":"Haar wavelets for efficient similarity search of time-series: with and without time warping","publication_year":2003,"publication_date":"2003-05-01","ids":{"openalex":"https://openalex.org/W2107856142","doi":"https://doi.org/10.1109/tkde.2003.1198399","mag":"2107856142"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2003.1198399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2003.1198399","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5040312804","display_name":"Fai Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"F.K. Chan","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China#TAB#","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091164645","display_name":"A.W.-C. Fu","orcid":"https://orcid.org/0000-0002-1645-3915"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ada Wai-chee Fu","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China#TAB#","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109224736","display_name":"C. Yu","orcid":"https://orcid.org/0009-0007-3659-1788"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clement Yu","raw_affiliation_strings":["University of Illinois, Chicago, IL, USA","University of Illinois, Chicago, IL. USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois, Chicago, IL. USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040312804"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":7.1133,"has_fulltext":false,"cited_by_count":260,"citation_normalized_percentile":{"value":0.97813796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"15","issue":"3","first_page":"686","last_page":"705"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9703999757766724,"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":0.9682999849319458,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8842767477035522},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.734130859375},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.7139992117881775},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6060292720794678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5931117534637451},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5756320357322693},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.510289192199707},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.49098995327949524},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.48303040862083435},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.46464014053344727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45480674505233765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.453060507774353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42970022559165955},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4080125391483307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3908601999282837}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8842767477035522},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.734130859375},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.7139992117881775},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6060292720794678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931117534637451},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5756320357322693},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.510289192199707},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.49098995327949524},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.48303040862083435},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.46464014053344727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45480674505233765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.453060507774353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42970022559165955},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4080125391483307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3908601999282837}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2003.1198399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2003.1198399","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1494985239","https://openalex.org/W1499049447","https://openalex.org/W1512748702","https://openalex.org/W1536662763","https://openalex.org/W1546509353","https://openalex.org/W1560013842","https://openalex.org/W1864972570","https://openalex.org/W1966554111","https://openalex.org/W2036557187","https://openalex.org/W2042591571","https://openalex.org/W2046144220","https://openalex.org/W2046353575","https://openalex.org/W2053062040","https://openalex.org/W2083888736","https://openalex.org/W2084481683","https://openalex.org/W2110704195","https://openalex.org/W2110825163","https://openalex.org/W2126455177","https://openalex.org/W2128061541","https://openalex.org/W2128160875","https://openalex.org/W2129234422","https://openalex.org/W2145910025","https://openalex.org/W2148039410","https://openalex.org/W2155126530","https://openalex.org/W2158454296","https://openalex.org/W2160627419","https://openalex.org/W2162759570","https://openalex.org/W2164463707","https://openalex.org/W2896337847","https://openalex.org/W3146950576","https://openalex.org/W3147178137","https://openalex.org/W4205502210","https://openalex.org/W4212848460","https://openalex.org/W4229951323","https://openalex.org/W4232471770","https://openalex.org/W4240744150","https://openalex.org/W4249058433"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W1918542373","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2350336482","https://openalex.org/W2154472250","https://openalex.org/W2229352698","https://openalex.org/W4206434459","https://openalex.org/W2052451333","https://openalex.org/W3141827490"],"abstract_inverted_index":{"We":[0,33,60,138,149,178],"address":[1],"the":[2,24,35,42,50,76,85,104,109,113,144,201],"handling":[3],"of":[4,28,44,79,91,111,146,176,203],"time":[5,17,77,105,114,122,147,157,187],"series":[6,188],"search":[7,185],"based":[8],"on":[9],"two":[10],"important":[11],"distance":[12,15,72,97,116,124],"definitions:":[13],"Euclidean":[14,58,71],"and":[16,40,88,190],"warping":[18,106,115,123,158],"distance.":[19,59,107],"The":[20],"conventional":[21],"method":[22,51,64],"reduces":[23],"dimensionality":[25],"by":[26,170,192],"means":[27],"a":[29,45,127,151,173],"discrete":[30],"Fourier":[31],"transform.":[32],"apply":[34,179],"Haar":[36,152],"wavelet":[37],"transform":[38],"technique":[39],"propose":[41,139],"use":[43],"proper":[46],"normalization":[47],"so":[48],"that":[49,62,99,194],"can":[52],"guarantee":[53,134],"no":[54],"false":[55,136,204],"dismissal":[56],"for":[57,156],"found":[61],"this":[63,101],"has":[65],"competitive":[66],"performance":[67],"from":[68],"our":[69,180],"experiments.":[70],"measurement":[73],"cannot":[74],"handle":[75],"shifts":[78],"patterns.":[80],"It":[81],"fails":[82],"to":[83,142,183],"match":[84],"same":[86],"rise":[87],"fall":[89],"patterns":[90],"sequences":[92],"with":[93],"different":[94],"scales.":[95],"A":[96],"measure":[98],"handles":[100],"problem":[102],"is":[103,118,125,196],"However,":[108],"complexity":[110],"computing":[112],"function":[117,155,182],"high.":[119],"Also,":[120],"as":[121],"not":[126,133],"metric,":[128],"most":[129],"indexing":[130],"techniques":[131],"would":[132],"any":[135],"dismissal.":[137],"efficient":[140],"strategies":[141],"mitigate":[143],"problems":[145],"warping.":[148],"suggest":[150],"wavelet-based":[153],"approximation":[154,181],"distance,":[159],"called":[160],"Low":[161],"Resolution":[162],"Time":[163],"Warping,":[164],"which":[165],"results":[166],"in":[167,186,199,206],"less":[168],"computation":[169],"trading":[171],"off":[172],"small":[174],"amount":[175],"accuracy.":[177],"similarity":[184,207],"databases,":[189],"show":[191],"experiment":[193],"it":[195],"highly":[197],"effective":[198],"suppressing":[200],"number":[202],"alarms":[205],"search.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":21}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
