{"id":"https://openalex.org/W2094214719","doi":"https://doi.org/10.1109/bigdata.2013.6691783","title":"Super-sequence frequent pattern mining on sequential dataset","display_name":"Super-sequence frequent pattern mining on sequential dataset","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2094214719","doi":"https://doi.org/10.1109/bigdata.2013.6691783","mag":"2094214719"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big 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/A5101619769","display_name":"Xinran Yu","orcid":"https://orcid.org/0000-0001-7633-7791"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinran Yu","raw_affiliation_strings":["Computer Science Department, University of Texas at San Antonio, San Antonio, TX","[Computer Science Department, University of Texas at San Antonio, San Antonio, TX, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Texas at San Antonio, San Antonio, TX","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"[Computer Science Department, University of Texas at San Antonio, San Antonio, TX, USA]","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011209223","display_name":"Turgay Korkmaz","orcid":"https://orcid.org/0000-0002-5529-673X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Turgay Korkmaz","raw_affiliation_strings":["Computer Science Department, University of Texas at San Antonio, San Antonio, TX","[Computer Science Department, University of Texas at San Antonio, San Antonio, TX, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Texas at San Antonio, San Antonio, TX","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"[Computer Science Department, University of Texas at San Antonio, San Antonio, TX, USA]","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101619769"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":3.2358,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93113929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9897000193595886,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.6933233141899109},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.69156813621521},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5977743864059448},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5835005044937134},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5563684701919556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5427302718162537},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5389822721481323},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.5248632431030273},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4760189652442932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2876761555671692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28375446796417236},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2652814984321594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933233141899109},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.69156813621521},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5977743864059448},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5835005044937134},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5563684701919556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5427302718162537},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5389822721481323},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.5248632431030273},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4760189652442932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2876761555671692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28375446796417236},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2652814984321594},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2013.6691783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","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":44,"referenced_works":["https://openalex.org/W167530960","https://openalex.org/W200681053","https://openalex.org/W259338706","https://openalex.org/W1483679765","https://openalex.org/W1484413656","https://openalex.org/W1490552869","https://openalex.org/W1506285740","https://openalex.org/W1520890006","https://openalex.org/W1548986531","https://openalex.org/W1585646276","https://openalex.org/W1597161471","https://openalex.org/W1597561788","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1852142604","https://openalex.org/W1941427975","https://openalex.org/W1976157781","https://openalex.org/W1990800901","https://openalex.org/W2007917614","https://openalex.org/W2030969394","https://openalex.org/W2037498077","https://openalex.org/W2037965136","https://openalex.org/W2056992461","https://openalex.org/W2064853889","https://openalex.org/W2093456341","https://openalex.org/W2106934213","https://openalex.org/W2110893883","https://openalex.org/W2114624736","https://openalex.org/W2119014043","https://openalex.org/W2125690626","https://openalex.org/W2138270253","https://openalex.org/W2140190241","https://openalex.org/W2145539275","https://openalex.org/W2147694185","https://openalex.org/W2149636015","https://openalex.org/W2158454296","https://openalex.org/W4252403066","https://openalex.org/W6628750762","https://openalex.org/W6628973722","https://openalex.org/W6629284157","https://openalex.org/W6632828760","https://openalex.org/W6635226022","https://openalex.org/W6635637936","https://openalex.org/W6991825655"],"related_works":["https://openalex.org/W2390900636","https://openalex.org/W4390176295","https://openalex.org/W2112284452","https://openalex.org/W4285106477","https://openalex.org/W2370815826","https://openalex.org/W1932159282","https://openalex.org/W2433057514","https://openalex.org/W4243663106","https://openalex.org/W2136066520","https://openalex.org/W2365525049"],"abstract_inverted_index":{"Due":[0],"to":[1,24,46,60,90,93],"the":[2,54,74,94,115,141,147,153,156,162,165,187,192],"importance":[3],"of":[4,135,143,155,164],"Frequent":[5],"Pattern":[6],"Mining":[7],"(FPM)":[8],"in":[9,53,100,146],"bioinformatics,":[10],"web":[11,176,193],"mining,":[12],"social":[13],"networks":[14],"and":[15,26,71,113,179],"so":[16],"on,":[17],"researchers":[18],"have":[19,73],"been":[20],"paying":[21],"significant":[22],"attention":[23],"FPM":[25],"its":[27,171],"various":[28],"forms.":[29],"In":[30,44,82],"this":[31],"study,":[32],"we":[33,39,103,160],"introduce":[34],"a":[35,79,105,110,125],"new":[36],"form":[37],"that":[38,63,72],"call":[40],"super-sequence":[41,57,86],"pattern":[42,49],"mining.":[43],"contrast":[45],"frequent":[47,56,85,189],"sub-sequence":[48],"mining":[50,58],"studied":[51],"significantly":[52],"literature,":[55],"requires":[59],"identify":[61],"super-sequences":[62,190],"may":[64],"contain":[65],"sequential":[66,107],"parts":[67],"from":[68],"different":[69,144],"sequences":[70],"total":[75],"support":[76],"larger":[77],"than":[78],"given":[80,106],"threshold.":[81],"essence,":[83],"finding":[84],"patterns":[87],"turns":[88],"out":[89,181],"be":[91],"related":[92],"well-known":[95],"NP-hard":[96],"longest":[97,119],"path":[98,120],"problem":[99,116],"graphs.":[101],"Accordingly,":[102],"transform":[104],"dataset":[108,178],"into":[109],"sequence":[111,148],"graph":[112],"formulate":[114],"as":[117],"k-hop":[118],"problem.":[121],"We":[122,168],"then":[123],"propose":[124],"heuristic":[126],"algorithm":[127],"using":[128],"dynamic":[129],"programming":[130],"techniques.":[131],"The":[132],"running":[133],"time":[134],"our":[136],"solution":[137],"is":[138],"depending":[139],"on":[140,152,173,186,191],"number":[142],"items":[145],"set":[149],"but":[150],"not":[151],"size":[154],"dataset.":[157,195],"Through":[158],"experiments,":[159],"demonstrate":[161],"effectiveness":[163],"proposed":[166],"solution.":[167],"also":[169],"illustrate":[170],"use":[172],"an":[174],"actual":[175],"log":[177,194],"find":[180],"some":[182],"interesting":[183],"facts":[184],"based":[185],"identified":[188]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
