{"id":"https://openalex.org/W2158597732","doi":"https://doi.org/10.1145/1989323.1989371","title":"A new approach for processing ranked subsequence matching based on ranked union","display_name":"A new approach for processing ranked subsequence matching based on ranked union","publication_year":2011,"publication_date":"2011-06-12","ids":{"openalex":"https://openalex.org/W2158597732","doi":"https://doi.org/10.1145/1989323.1989371","mag":"2158597732"},"language":"en","primary_location":{"id":"doi:10.1145/1989323.1989371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","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/A5035744252","display_name":"Wook-Shin Han","orcid":"https://orcid.org/0000-0001-9206-9563"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wook-Shin Han","raw_affiliation_strings":["Kyungpook National University, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055974749","display_name":"Jin\u2010Soo Lee","orcid":"https://orcid.org/0000-0001-8899-4043"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinsoo Lee","raw_affiliation_strings":["Kyungpook National University, Deagu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Deagu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402186","display_name":"Yang\u2010Sae Moon","orcid":"https://orcid.org/0000-0002-2396-0405"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yang-Sae Moon","raw_affiliation_strings":["Kangwon National University, Chuncheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kangwon National University, Chuncheon, South Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567750","display_name":"Seung-won Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-won Hwang","raw_affiliation_strings":["Pohang University of Science and Technology, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045521125","display_name":"Hwanjo Yu","orcid":"https://orcid.org/0000-0002-7510-0255"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanjo Yu","raw_affiliation_strings":["Pohang University of Science and Technology, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.433,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93434936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"457","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","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/T11106","display_name":"Data Management and Algorithms","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/T11269","display_name":"Algorithms and Data Compression","score":0.9973000288009644,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/subsequence","display_name":"Subsequence","score":0.9308205246925354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6546120643615723},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6186215877532959},{"id":"https://openalex.org/keywords/longest-increasing-subsequence","display_name":"Longest increasing subsequence","score":0.5605641603469849},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5225574374198914},{"id":"https://openalex.org/keywords/priority-queue","display_name":"Priority queue","score":0.4882548153400421},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.48111575841903687},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4765242338180542},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.46462661027908325},{"id":"https://openalex.org/keywords/merge-algorithm","display_name":"Merge algorithm","score":0.4514434039592743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41675445437431335},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3509649634361267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3481530547142029},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25754690170288086},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.20478618144989014},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.17630153894424438},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.11543861031532288},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07897177338600159}],"concepts":[{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.9308205246925354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6546120643615723},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6186215877532959},{"id":"https://openalex.org/C170006305","wikidata":"https://www.wikidata.org/wiki/Q4183855","display_name":"Longest increasing subsequence","level":4,"score":0.5605641603469849},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5225574374198914},{"id":"https://openalex.org/C26951474","wikidata":"https://www.wikidata.org/wiki/Q629283","display_name":"Priority queue","level":3,"score":0.4882548153400421},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.48111575841903687},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4765242338180542},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.46462661027908325},{"id":"https://openalex.org/C140086265","wikidata":"https://www.wikidata.org/wiki/Q11341754","display_name":"Merge algorithm","level":4,"score":0.4514434039592743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41675445437431335},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3509649634361267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3481530547142029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25754690170288086},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.20478618144989014},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.17630153894424438},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.11543861031532288},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07897177338600159},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C108094655","wikidata":"https://www.wikidata.org/wiki/Q181593","display_name":"Sorting algorithm","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1989323.1989371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/37665","is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/37665","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W1581831035","https://openalex.org/W1850437073","https://openalex.org/W1871576335","https://openalex.org/W2010142086","https://openalex.org/W2020865809","https://openalex.org/W2036557187","https://openalex.org/W2066834853","https://openalex.org/W2084538728","https://openalex.org/W2098272719","https://openalex.org/W2109355547","https://openalex.org/W2121186986","https://openalex.org/W2123544675","https://openalex.org/W2125120904","https://openalex.org/W2128061541","https://openalex.org/W2133184712","https://openalex.org/W2133706543","https://openalex.org/W2134206624","https://openalex.org/W2140894345","https://openalex.org/W2141649964","https://openalex.org/W2145425472","https://openalex.org/W2158237121","https://openalex.org/W2158597732","https://openalex.org/W2164520297"],"related_works":["https://openalex.org/W3122601395","https://openalex.org/W2969919693","https://openalex.org/W2125120904","https://openalex.org/W4225868058","https://openalex.org/W2035123411","https://openalex.org/W2112772040","https://openalex.org/W2131191265","https://openalex.org/W4389489786","https://openalex.org/W1540010783","https://openalex.org/W2075403678"],"abstract_inverted_index":{"Ranked":[0],"subsequence":[1,100,113],"matching":[2,40,101,112],"finds":[3],"top-k":[4],"subsequences":[5,63],"most":[6],"similar":[7],"to":[8,25,29,61,93,183,185],"a":[9,22,45,65,89,108,118,136,172],"given":[10],"query":[11],"sequence":[12],"from":[13],"data":[14,62],"sequences.":[15],"Recently,":[16],"Han":[17],"et":[18],"al.":[19],"[12]":[20],"proposed":[21,163],"solution":[23],"(referred":[24],"here":[26],"as":[27,102],"HLMJ)":[28],"this":[30,85,95],"problem":[31,96,130],"by":[32,97,181],"using":[33,50,64],"the":[34,37,51,111,123,128,145,150,162,168],"concept":[35,52],"of":[36,53,82,110,131,149,188],"minimum":[38],"distance":[39,179],"window":[41],"pair":[42],"(MDMWP)":[43],"and":[44,117,147,167],"global":[46],"priority":[47,151],"queue.":[48,152],"By":[49],"MDMWP,":[54],"HLMJ":[55,73,166],"can":[56],"prune":[57],"many":[58,157],"unnecessary":[59],"accesses":[60],"lower":[66,120],"bound":[67,121],"distance.":[68],"However,":[69],"we":[70,87,106,133,142],"notice":[71],"that":[72,161],"may":[74],"incur":[75],"serious":[76],"performance":[77,129],"overhead":[78],"for":[79],"important":[80],"types":[81],"queries.":[83],"In":[84],"paper,":[86],"propose":[88,107,135],"novel":[90,119],"systematic":[91],"framework":[92],"solve":[94],"viewing":[98],"ranked":[99,103],"union.":[104],"Specifically,":[105],"notion":[109],"equivalence":[114],"class":[115],"(MSEQ)":[116],"called":[122],"MSEQ-distance.":[124],"To":[125],"completely":[126],"eliminate":[127],"HLMJ,":[132],"also":[134],"cost-aware":[137],"density-based":[138],"scheduling":[139],"technique,":[140],"where":[141],"consider":[143],"both":[144],"density":[146],"cost":[148],"Extensive":[153],"experimental":[154],"results":[155],"with":[156],"real":[158],"datasets":[159],"show":[160],"algorithm":[164,176],"outperforms":[165],"adapted":[169],"PSM":[170],"[22],":[171],"state-of-the-art":[173],"index-based":[174],"merge":[175],"supporting":[177],"non-monotonic":[178],"functions,":[180],"up":[182],"two":[184],"three":[186],"orders":[187],"magnitude,":[189],"respectively.":[190]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}