{"id":"https://openalex.org/W2048841221","doi":"https://doi.org/10.1109/icdim.2012.6360087","title":"Time Series Classification Method Based on Longest Common Subsequence and Textual Approximation","display_name":"Time Series Classification Method Based on Longest Common Subsequence and Textual Approximation","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2048841221","doi":"https://doi.org/10.1109/icdim.2012.6360087","mag":"2048841221"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2012.6360087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2012.6360087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Digital Information Management (ICDIM 2012)","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/A5097640023","display_name":"Abdulla-Al-Maruf","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Abdulla-Al-Maruf","raw_affiliation_strings":["Ritsumeikan University, Kusatsu, Japan","[Ritsumeikan University, Kusatsu, Japan]"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"[Ritsumeikan University, Kusatsu, Japan]","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084384514","display_name":"Hung\u2010Hsuan Huang","orcid":"https://orcid.org/0000-0002-0376-3535"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hung-Hsuan Huang","raw_affiliation_strings":["Ritsumeikan University, Kusatsu, Japan","[Ritsumeikan University, Kusatsu, Japan]"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"[Ritsumeikan University, Kusatsu, Japan]","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046572165","display_name":"Kyoji Kawagoe","orcid":"https://orcid.org/0000-0001-8113-0031"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyoji Kawagoe","raw_affiliation_strings":["Ritsumeikan University, Kusatsu, Japan","[Ritsumeikan University, Kusatsu, Japan]"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"[Ritsumeikan University, Kusatsu, Japan]","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5097640023"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.7345,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73418617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"137"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9861999750137329,"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/T11309","display_name":"Music and Audio Processing","score":0.9721999764442444,"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/series","display_name":"Series (stratigraphy)","score":0.8355017900466919},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.8195763826370239},{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.7220767140388489},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6838915944099426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577157974243164},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.6295610666275024},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5769416689872742},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4389092028141022},{"id":"https://openalex.org/keywords/longest-increasing-subsequence","display_name":"Longest increasing subsequence","score":0.4367125928401947},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43414685130119324},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4214613735675812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3906547427177429},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38631343841552734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36981213092803955},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32917290925979614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.300020694732666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26192986965179443}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.8355017900466919},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.8195763826370239},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.7220767140388489},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6838915944099426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577157974243164},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.6295610666275024},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5769416689872742},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4389092028141022},{"id":"https://openalex.org/C170006305","wikidata":"https://www.wikidata.org/wiki/Q4183855","display_name":"Longest increasing subsequence","level":4,"score":0.4367125928401947},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43414685130119324},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4214613735675812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3906547427177429},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38631343841552734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36981213092803955},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32917290925979614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.300020694732666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26192986965179443},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2012.6360087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2012.6360087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Digital Information Management (ICDIM 2012)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W938539187","https://openalex.org/W1482045617","https://openalex.org/W1491931038","https://openalex.org/W1495933060","https://openalex.org/W1499049447","https://openalex.org/W1501400124","https://openalex.org/W1528765510","https://openalex.org/W1529615245","https://openalex.org/W1597504361","https://openalex.org/W1853995153","https://openalex.org/W1971238646","https://openalex.org/W1989037929","https://openalex.org/W2036557187","https://openalex.org/W2042591571","https://openalex.org/W2049941387","https://openalex.org/W2054950527","https://openalex.org/W2093990122","https://openalex.org/W2109227373","https://openalex.org/W2118371392","https://openalex.org/W2124386111","https://openalex.org/W2131846894","https://openalex.org/W2133671054","https://openalex.org/W2134155890","https://openalex.org/W2137822036","https://openalex.org/W2141514928","https://openalex.org/W2143325592","https://openalex.org/W2143702666","https://openalex.org/W2147880780","https://openalex.org/W2151103935","https://openalex.org/W2152497905","https://openalex.org/W2160702887","https://openalex.org/W2163336863","https://openalex.org/W2164274563","https://openalex.org/W2166064672","https://openalex.org/W2172017522","https://openalex.org/W2311417509","https://openalex.org/W4242702158","https://openalex.org/W4245668478","https://openalex.org/W4285719527","https://openalex.org/W4300098826","https://openalex.org/W6628765871","https://openalex.org/W6629308526","https://openalex.org/W6629551426","https://openalex.org/W6629760146","https://openalex.org/W6659467978","https://openalex.org/W6661122342","https://openalex.org/W6698348904"],"related_works":["https://openalex.org/W3022573534","https://openalex.org/W1746697883","https://openalex.org/W1540010783","https://openalex.org/W4389489786","https://openalex.org/W4289596129","https://openalex.org/W1974063126","https://openalex.org/W2969919693","https://openalex.org/W4225868058","https://openalex.org/W4323338832","https://openalex.org/W170643605"],"abstract_inverted_index":{"Many":[0],"symbolic":[1,43,76],"representations":[2],"of":[3,45,54,78,102],"time":[4,22,46,55,59,79,95,98,125],"series":[5,23,47,56,60,80,99,126],"have":[6,113],"been":[7],"proposed":[8],"by":[9,64],"researchers":[10],"over":[11],"past":[12],"decades.":[13],"However,":[14],"it":[15],"is":[16,70,117],"still":[17],"not":[18],"enough":[19],"to":[20,50],"classify":[21],"with":[24],"high":[25],"accuracy":[26,53,107],"in":[27,67],"such":[28],"applications":[29],"as":[30,88,121,123],"ubiquitous":[31],"systems":[32],"or":[33],"sensor":[34],"systems.":[35],"In":[36,109],"this":[37],"paper,":[38],"we":[39,112],"propose":[40],"a":[41,73],"new":[42],"representation":[44,77],"called":[48,81],"l-TAX":[49,69,116],"increase":[51],"the":[52,106],"classification.":[57],"A":[58],"can":[61],"be":[62],"represented":[63],"term":[65],"sequences":[66,104],"l-TAX.":[68],"based":[71],"on":[72],"document":[74],"like":[75],"TAX.":[82],"We":[83],"use":[84],"longest":[85],"common":[86],"subsequence":[87],"our":[89,110],"distance":[90],"measure":[91],"between":[92],"textually":[93],"approximated":[94],"series.":[96],"During":[97],"classification,":[100],"consideration":[101],"symbol":[103],"increases":[105],"significantly.":[108],"evaluation,":[111],"demonstrated":[114],"that":[115],"effective":[118],"for":[119],"classification":[120],"well":[122],"searching":[124],"data":[127],"set.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
