{"id":"https://openalex.org/W2078809551","doi":"https://doi.org/10.1145/2063576.2064015","title":"Scalable similarity search of timeseries with variable dimensionality","display_name":"Scalable similarity search of timeseries with variable dimensionality","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2078809551","doi":"https://doi.org/10.1145/2063576.2064015","mag":"2078809551"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2064015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2064015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and 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/A5047959451","display_name":"Omar U. Florez","orcid":"https://orcid.org/0009-0008-7884-8825"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Omar U. Florez","raw_affiliation_strings":["Utah State University, Logan, UT, USA"],"affiliations":[{"raw_affiliation_string":"Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005123859","display_name":"Curtis Dyreson","orcid":"https://orcid.org/0000-0003-0236-1515"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Curtis Dyreson","raw_affiliation_strings":["Utah State University, Logan, UT, USA"],"affiliations":[{"raw_affiliation_string":"Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047959451"],"corresponding_institution_ids":["https://openalex.org/I121980950"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72548634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2545","last_page":"2548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9941999912261963,"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/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6951414346694946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6438090205192566},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6238413453102112},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5552242398262024},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47450965642929077},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41109633445739746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38077312707901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36242803931236267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35670244693756104},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.3495672345161438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14140814542770386}],"concepts":[{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6951414346694946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438090205192566},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6238413453102112},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5552242398262024},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47450965642929077},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41109633445739746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38077312707901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36242803931236267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35670244693756104},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.3495672345161438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14140814542770386},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2063576.2064015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2064015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2024081861","https://openalex.org/W2049758109","https://openalex.org/W2053971308","https://openalex.org/W2077720176","https://openalex.org/W2091921805","https://openalex.org/W2118269922","https://openalex.org/W2129330015","https://openalex.org/W2134536645"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W4287326768","https://openalex.org/W2393322642","https://openalex.org/W2000601968","https://openalex.org/W2144265691","https://openalex.org/W2183040431","https://openalex.org/W2033383639","https://openalex.org/W3108918257","https://openalex.org/W2963557510","https://openalex.org/W3016124764"],"abstract_inverted_index":{"Timeseries":[0,102],"can":[1,138],"be":[2,30,55],"similar":[3,72],"in":[4,8,32,86,125],"shape":[5],"but":[6,27],"differ":[7],"length.":[9],"For":[10],"example,":[11],"the":[12,17,24,92,108,145,151,155],"sound":[13],"waves":[14],"produced":[15],"by":[16],"same":[18,25,146],"word":[19],"spoken":[20],"twice":[21],"have":[22,94,144],"roughly":[23],"shape,":[26],"one":[28],"may":[29],"shorter":[31],"duration.":[33],"Stream":[34],"data":[35,44,123],"mining,":[36],"approximate":[37,119],"querying":[38],"of":[39,88,150,153],"image":[40,164],"and":[41,46,63,67,82,96,159,166,176],"video":[42,174],"databases,":[43],"compression,":[45],"near":[47],"duplicate":[48],"detection":[49],"are":[50,71],"applications":[51],"that":[52,70,141],"need":[53],"to":[54,57,64,73,106,121],"able":[56],"classify":[58,160],"or":[59],"cluster":[60],"such":[61],"timeseries,":[62],"search":[65,85],"for":[66,80],"rank":[68],"timeseries":[69,89,93,161,167],"a":[74,126,173,177],"chosen":[75],"timeseries.":[76,109],"We":[77],"demonstrate":[78],"software":[79],"clustering":[81],"performing":[83],"similarity":[84],"databases":[87],"data,":[90],"where":[91],"high":[95],"variable":[97],"dimensionality.":[98,147],"Our":[99],"demonstration":[100,156],"uses":[101],"Sensitive":[103,113],"Hashing":[104,114],"(TSH)[3]":[105],"index":[107,122,139,158],"TSH":[110],"adapts":[111],"Locality":[112],"(LSH),":[115],"which":[116],"is":[117],"an":[118,163],"algorithm":[120],"points":[124,140],"d-dimensional":[127],"space":[128],"under":[129],"some":[130],"(e.g.,":[131],"Euclidean)":[132],"distance":[133],"function.":[134],"TSH,":[135,154],"unlike":[136],"LSH,":[137],"do":[142],"not":[143],"As":[148],"examples":[149],"potential":[152],"will":[157],"from":[162,172],"database":[165],"describing":[168],"human":[169],"motion":[170,178],"extracted":[171],"stream":[175],"capture":[179],"system.":[180]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}