{"id":"https://openalex.org/W2041383635","doi":"https://doi.org/10.1145/2554850.2555041","title":"GEM","display_name":"GEM","publication_year":2014,"publication_date":"2014-03-24","ids":{"openalex":"https://openalex.org/W2041383635","doi":"https://doi.org/10.1145/2554850.2555041","mag":"2041383635"},"language":"en","primary_location":{"id":"doi:10.1145/2554850.2555041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554850.2555041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027561629","display_name":"Christian Hundt","orcid":"https://orcid.org/0000-0002-7995-1858"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Hundt","raw_affiliation_strings":["Johannes Gutenberg University Mainz","Johannes Gutenberg University Mainz#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University Mainz","institution_ids":["https://openalex.org/I197323543"]},{"raw_affiliation_string":"Johannes Gutenberg University Mainz#TAB#","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020388832","display_name":"Bertil Schmidt","orcid":"https://orcid.org/0000-0003-2597-8331"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bertil Schmidt","raw_affiliation_strings":["Johannes Gutenberg University Mainz","Johannes Gutenberg University Mainz#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University Mainz","institution_ids":["https://openalex.org/I197323543"]},{"raw_affiliation_string":"Johannes Gutenberg University Mainz#TAB#","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018595947","display_name":"Elmar Sch\u00f6mer","orcid":"https://orcid.org/0000-0002-5652-2591"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elmar Sch\u00f6mer","raw_affiliation_strings":["Johannes Gutenberg University Mainz","Johannes Gutenberg University Mainz#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University Mainz","institution_ids":["https://openalex.org/I197323543"]},{"raw_affiliation_string":"Johannes Gutenberg University Mainz#TAB#","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062269056","display_name":"Herbert G\u00f6ttler","orcid":null},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Herbert G\u00f6ttler","raw_affiliation_strings":["Johannes Gutenberg University Mainz","Johannes Gutenberg University Mainz#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University Mainz","institution_ids":["https://openalex.org/I197323543"]},{"raw_affiliation_string":"Johannes Gutenberg University Mainz#TAB#","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011069943","display_name":"Hoang-Vu Dang","orcid":"https://orcid.org/0000-0001-7780-2499"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hoang-Vu Dang","raw_affiliation_strings":["Johannes Gutenberg University Mainz","Johannes Gutenberg University Mainz#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University Mainz","institution_ids":["https://openalex.org/I197323543"]},{"raw_affiliation_string":"Johannes Gutenberg University Mainz#TAB#","institution_ids":["https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197323543"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"112"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9850000143051147,"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":0.9373000264167786,"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":0.8866948485374451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7639632225036621},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.676131010055542},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6241335868835449},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5927448868751526},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5239613056182861},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48845067620277405},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4875475764274597},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.4724481701850891},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45591577887535095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4193611443042755},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4112212359905243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3906610906124115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3660414218902588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34341397881507874},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17109540104866028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16459840536117554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15225404500961304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12057042121887207}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8866948485374451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639632225036621},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.676131010055542},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6241335868835449},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5927448868751526},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5239613056182861},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48845067620277405},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4875475764274597},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.4724481701850891},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45591577887535095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4193611443042755},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4112212359905243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3906610906124115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3660414218902588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34341397881507874},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17109540104866028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16459840536117554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15225404500961304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12057042121887207},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2554850.2555041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554850.2555041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","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":19,"referenced_works":["https://openalex.org/W58346954","https://openalex.org/W116902681","https://openalex.org/W1597504361","https://openalex.org/W1647671624","https://openalex.org/W1857341053","https://openalex.org/W1984685202","https://openalex.org/W2034528422","https://openalex.org/W2078559879","https://openalex.org/W2087064593","https://openalex.org/W2099302229","https://openalex.org/W2118371392","https://openalex.org/W2120199131","https://openalex.org/W2143521558","https://openalex.org/W2161831889","https://openalex.org/W2162193833","https://openalex.org/W2400311702","https://openalex.org/W3123294050","https://openalex.org/W6635805645","https://openalex.org/W6683725322"],"related_works":["https://openalex.org/W2513074791","https://openalex.org/W3111157199","https://openalex.org/W4281630436","https://openalex.org/W2014214435","https://openalex.org/W2182136398","https://openalex.org/W1982925424","https://openalex.org/W2902282441","https://openalex.org/W3141827490","https://openalex.org/W2052451333","https://openalex.org/W3111740253"],"abstract_inverted_index":{"The":[0,88],"widespread":[1],"use":[2],"of":[3,22,43,76,115,134],"digital":[4],"sensor":[5],"systems":[6],"causes":[7],"a":[8,77,83],"tremendous":[9],"demand":[10],"for":[11,118],"high-quality":[12],"time":[13,79,85,103],"series":[14,80,86],"analysis":[15],"tools.":[16],"In":[17,55,128],"this":[18,59],"domain":[19],"the":[20,41,63,97,102,123,132],"majority":[21],"data":[23],"mining":[24],"algorithms":[25],"relies":[26],"on":[27,96],"established":[28],"distance":[29,38],"measures":[30],"like":[31],"Dynamic":[32],"Time":[33],"Warping":[34],"(DTW)":[35],"or":[36],"Euclidean":[37],"(ED).":[39],"However,":[40],"notion":[42],"similarity":[44,74],"induced":[45],"by":[46],"ED":[47,109],"and":[48,82,99,110,121],"DTW":[49,112],"may":[50],"lead":[51],"to":[52,57,108,130,136],"unsatisfactory":[53],"clusterings.":[54],"order":[56,129],"address":[58],"shortcoming":[60],"we":[61,139],"introduce":[62],"Gliding":[64],"Elastic":[65],"Match":[66],"(GEM)":[67],"algorithm.":[68],"It":[69],"determines":[70],"an":[71,142],"optimal":[72],"local":[73,94],"measure":[75,89],"query":[78],"Q":[81],"subject":[84],"S.":[87],"is":[90,106],"invariant":[91],"under":[92],"both":[93],"deformation":[95],"measurement-axis":[98],"scaling":[100],"in":[101,113,125],"domain.":[104],"GEM":[105,135],"compared":[107],"(un)constrained":[111],"terms":[114],"matching":[116],"quality":[117],"several":[119],"datasets":[120],"outperforms":[122],"competitors":[124],"most":[126],"cases.":[127],"accelerate":[131],"application":[133],"large-scale":[137],"datasets,":[138],"further":[140],"present":[141],"efficient":[143],"CUDA":[144],"parallelization.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
