{"id":"https://openalex.org/W2795442664","doi":"https://doi.org/10.1145/3173574.3173962","title":"Expressive Time Series Querying with Hand-Drawn Scale-Free Sketches","display_name":"Expressive Time Series Querying with Hand-Drawn Scale-Free Sketches","publication_year":2018,"publication_date":"2018-04-20","ids":{"openalex":"https://openalex.org/W2795442664","doi":"https://doi.org/10.1145/3173574.3173962","mag":"2795442664"},"language":"en","primary_location":{"id":"doi:10.1145/3173574.3173962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3173574.3173962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","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/A5075026385","display_name":"Miro Mannino","orcid":"https://orcid.org/0000-0001-7738-1815"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Miro Mannino","raw_affiliation_strings":["New York University - Abu Dhabi, Abu Dhabi, Uae"],"affiliations":[{"raw_affiliation_string":"New York University - Abu Dhabi, Abu Dhabi, Uae","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044418740","display_name":"Azza Abouzied","orcid":"https://orcid.org/0000-0003-4273-2536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azza Abouzied","raw_affiliation_strings":["New York University - Abu Dhabi, Abu Dhabi, Uae"],"affiliations":[{"raw_affiliation_string":"New York University - Abu Dhabi, Abu Dhabi, Uae","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075026385"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8086,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.95851216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9957000017166138,"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":0.995199978351593,"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/sketch","display_name":"Sketch","score":0.8968091607093811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8563607931137085},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6973503828048706},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6707224249839783},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6304811835289001},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5448853373527527},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5336357355117798},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.4878687858581543},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4762963354587555},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.42747724056243896},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4124259352684021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38692814111709595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3601107597351074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19031250476837158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08006617426872253}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8968091607093811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563607931137085},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6973503828048706},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6707224249839783},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6304811835289001},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5448853373527527},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5336357355117798},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.4878687858581543},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4762963354587555},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.42747724056243896},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4124259352684021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38692814111709595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3601107597351074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19031250476837158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08006617426872253},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3173574.3173962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3173574.3173962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1800021237","display_name":null,"funder_award_id":"1420941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1487098297","https://openalex.org/W1509578651","https://openalex.org/W1510964588","https://openalex.org/W1520352740","https://openalex.org/W1528027857","https://openalex.org/W1548778934","https://openalex.org/W1598265492","https://openalex.org/W1777389131","https://openalex.org/W1792912906","https://openalex.org/W1972420097","https://openalex.org/W2006783944","https://openalex.org/W2009899978","https://openalex.org/W2015217008","https://openalex.org/W2017528563","https://openalex.org/W2024466965","https://openalex.org/W2031302834","https://openalex.org/W2039761202","https://openalex.org/W2042661054","https://openalex.org/W2042997238","https://openalex.org/W2057427057","https://openalex.org/W2066834853","https://openalex.org/W2067288508","https://openalex.org/W2069870183","https://openalex.org/W2074607451","https://openalex.org/W2081028405","https://openalex.org/W2085321555","https://openalex.org/W2097267403","https://openalex.org/W2097983034","https://openalex.org/W2098759488","https://openalex.org/W2099302229","https://openalex.org/W2100900426","https://openalex.org/W2109399414","https://openalex.org/W2111736285","https://openalex.org/W2129330015","https://openalex.org/W2139440613","https://openalex.org/W2148212498","https://openalex.org/W2161783015","https://openalex.org/W2162756694","https://openalex.org/W2162800060","https://openalex.org/W2400311702","https://openalex.org/W2483430316","https://openalex.org/W2516815969","https://openalex.org/W4232757299","https://openalex.org/W4235802563","https://openalex.org/W4243432123"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2151314278","https://openalex.org/W2411243951","https://openalex.org/W1971224820","https://openalex.org/W13629514","https://openalex.org/W2963977451","https://openalex.org/W1976890290","https://openalex.org/W2966897482","https://openalex.org/W3022655144","https://openalex.org/W2463931728"],"abstract_inverted_index":{"We":[0,25,103],"present":[1],"Qetch,":[2],"a":[3,11,47,53,124],"tool":[4],"where":[5],"users":[6],"freely":[7],"sketch":[8,29],"patterns":[9,32],"on":[10,116,123],"scale-less":[12],"canvas":[13],"to":[14,86,113],"query":[15,21,87],"time":[16,30],"series":[17,31],"data":[18,127],"without":[19],"specifying":[20],"length":[22],"or":[23],"amplitude.":[24],"study":[26],"how":[27],"humans":[28,34],"---":[33,49],"preserve":[35],"visually":[36],"salient":[37],"perceptual":[38],"features":[39],"but":[40],"often":[41],"non-uniformly":[42],"scale":[43],"and":[44,50,70,81,118],"locally":[45],"distort":[46],"pattern":[48],"we":[51,94],"develop":[52],"novel":[54],"matching":[55,110],"algorithm":[56,111],"that":[57],"accounts":[58],"for":[59],"human":[60],"sketching":[61],"errors.":[62],"Qetch":[63],"enables":[64],"the":[65,96,106],"easy":[66],"construction":[67],"of":[68,84,98,108,126],"complex":[69],"expressive":[71],"queries":[72],"with":[73],"two":[74],"key":[75],"features:":[76],"regular":[77],"expressions":[78],"over":[79],"sketches":[80,85],"relative":[82],"positioning":[83],"multiple":[88],"time-aligned":[89],"series.":[90],"Through":[91],"user":[92],"studies,":[93],"demonstrate":[95,105],"effectiveness":[97,107],"Qetch's":[99,109],"different":[100],"interaction":[101],"features.":[102],"also":[104],"compared":[112],"popular":[114],"algorithms":[115],"targeted,":[117],"exploratory":[119],"query-by-sketch":[120],"search":[121],"tasks":[122],"variety":[125],"sets.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
