{"id":"https://openalex.org/W2016094720","doi":"https://doi.org/10.1145/2554850.2554885","title":"Fast time series classification under lucky time warping distance","display_name":"Fast time series classification under lucky time warping distance","publication_year":2014,"publication_date":"2014-03-24","ids":{"openalex":"https://openalex.org/W2016094720","doi":"https://doi.org/10.1145/2554850.2554885","mag":"2016094720"},"language":"en","primary_location":{"id":"doi:10.1145/2554850.2554885","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554850.2554885","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":"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/A5021669589","display_name":"Stephan Spiegel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stephan Spiegel","raw_affiliation_strings":["Berlin Institute of Technology, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017552433","display_name":"Brijnesh-Johannes Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]},{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Brijnesh-Johannes Jain","raw_affiliation_strings":["Berlin Institute of Technology, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089847337","display_name":"\u015eahin Albayrak","orcid":"https://orcid.org/0000-0001-5092-4584"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]},{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sahin Albayrak","raw_affiliation_strings":["Berlin Institute of Technology, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021669589"],"corresponding_institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":1.1646,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78380881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"78"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9480000138282776,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9277999997138977,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.9848222732543945},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7425141334533691},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7159161567687988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6873853206634521},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.6249551773071289},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6248579025268555},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6079586744308472},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5998811721801758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5218647718429565},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5208373665809631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5108015537261963},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.459097683429718},{"id":"https://openalex.org/keywords/edit-distance","display_name":"Edit distance","score":0.45509690046310425},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.44601088762283325},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41648441553115845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3839588761329651},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.320041298866272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2546039819717407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17418846487998962},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08511832356452942}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.9848222732543945},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7425141334533691},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7159161567687988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6873853206634521},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.6249551773071289},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6248579025268555},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6079586744308472},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5998811721801758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5218647718429565},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5208373665809631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5108015537261963},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.459097683429718},{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.45509690046310425},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.44601088762283325},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41648441553115845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3839588761329651},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.320041298866272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2546039819717407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17418846487998962},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08511832356452942},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.1145/2554850.2554885","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554850.2554885","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W39942585","https://openalex.org/W58346954","https://openalex.org/W67158865","https://openalex.org/W69342273","https://openalex.org/W116902681","https://openalex.org/W1853995153","https://openalex.org/W1864972570","https://openalex.org/W1966554111","https://openalex.org/W1968010112","https://openalex.org/W2039260438","https://openalex.org/W2046668018","https://openalex.org/W2091921805","https://openalex.org/W2098759488","https://openalex.org/W2099302229","https://openalex.org/W2128160875","https://openalex.org/W2136870399","https://openalex.org/W2137089646","https://openalex.org/W2144994235","https://openalex.org/W2150563191","https://openalex.org/W2161597407","https://openalex.org/W2183655945","https://openalex.org/W2398838146","https://openalex.org/W2400311702","https://openalex.org/W2997437965","https://openalex.org/W4212848460"],"related_works":["https://openalex.org/W2143325592","https://openalex.org/W2347413598","https://openalex.org/W2963606058","https://openalex.org/W2032415964","https://openalex.org/W3049200503","https://openalex.org/W2014214435","https://openalex.org/W2182136398","https://openalex.org/W3141827490","https://openalex.org/W2052451333","https://openalex.org/W2142462752"],"abstract_inverted_index":{"In":[0],"time":[1,43],"series":[2,44],"mining,":[3],"the":[4,19,23],"Dynamic":[5],"Time":[6],"Warping":[7],"(DTW)":[8],"distance":[9,25],"is":[10,26],"a":[11],"commonly":[12],"and":[13,35],"widely":[14],"used":[15],"similarity":[16],"measure.":[17],"Since":[18],"computational":[20],"complexity":[21],"of":[22,30],"DTW":[24,47],"quadratic,":[27],"various":[28],"kinds":[29],"warping":[31],"constraints,":[32],"lower":[33],"bounds":[34],"abstractions":[36],"have":[37],"been":[38],"developed":[39],"to":[40],"speed":[41],"up":[42],"mining":[45],"under":[46],"distance.":[48]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
