{"id":"https://openalex.org/W2144309138","doi":"https://doi.org/10.1145/2339530.2339636","title":"USpan","display_name":"USpan","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2144309138","doi":"https://doi.org/10.1145/2339530.2339636","mag":"2144309138"},"language":"en","primary_location":{"id":"doi:10.1145/2339530.2339636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5053701170","display_name":"Junfu Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Junfu Yin","raw_affiliation_strings":["University of Technology, Sydney, Sydney, Australia","University of Technology Sydney, Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney (Australia)","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110028271","display_name":"Zhigang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhigang Zheng","raw_affiliation_strings":["University of Technology, Sydney, Sydney, Australia","University of Technology Sydney, Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney (Australia)","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000798681","display_name":"Longbing Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Longbing Cao","raw_affiliation_strings":["University of Technology, Sydney, Sydney, Australia","University of Technology Sydney, Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney (Australia)","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053701170"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":30.4356,"has_fulltext":false,"cited_by_count":249,"citation_normalized_percentile":{"value":0.99599526,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"660","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9789999723434448,"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/computer-science","display_name":"Computer science","score":0.788697361946106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6309274435043335},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6292005181312561},{"id":"https://openalex.org/keywords/lexicographical-order","display_name":"Lexicographical order","score":0.5550810098648071},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49103379249572754},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48042988777160645},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.47512251138687134},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4645632803440094},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.45411208271980286},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42338958382606506},{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.41689008474349976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40863025188446045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40648046135902405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788697361946106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6309274435043335},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6292005181312561},{"id":"https://openalex.org/C159254197","wikidata":"https://www.wikidata.org/wiki/Q1144915","display_name":"Lexicographical order","level":2,"score":0.5550810098648071},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49103379249572754},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48042988777160645},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.47512251138687134},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4645632803440094},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.45411208271980286},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42338958382606506},{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.41689008474349976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40863025188446045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40648046135902405},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/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},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2339530.2339636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W1584003909","https://openalex.org/W1608194207","https://openalex.org/W1842433003","https://openalex.org/W1968259950","https://openalex.org/W2015045861","https://openalex.org/W2015296596","https://openalex.org/W2068383400","https://openalex.org/W2076404872","https://openalex.org/W2106178644","https://openalex.org/W2125352627","https://openalex.org/W2143428105","https://openalex.org/W2146606092","https://openalex.org/W2147694185","https://openalex.org/W2151028259","https://openalex.org/W2158454296"],"related_works":["https://openalex.org/W1994126304","https://openalex.org/W2087306197","https://openalex.org/W1973297295","https://openalex.org/W2316530548","https://openalex.org/W2505069962","https://openalex.org/W3096764880","https://openalex.org/W2039842051","https://openalex.org/W2317048282","https://openalex.org/W2214117870","https://openalex.org/W3008667352"],"abstract_inverted_index":{"Sequential":[0],"pattern":[1,41,53,87],"mining":[2,97],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7],"many":[8,25],"applications,":[9],"such":[10,71],"as":[11,72],"bioinformatics":[12],"and":[13,89,131,142,155],"consumer":[14],"behavior":[15],"analysis.":[16],"However,":[17],"the":[18,52,117,124,137],"classic":[19],"frequency-based":[20],"framework":[21,92],"often":[22],"leads":[23],"to":[24,48,106,122],"patterns":[26,63],"being":[27],"identified,":[28],"most":[29],"of":[30,127,139],"which":[31,66],"are":[32,64],"not":[33],"informative":[34],"enough":[35],"for":[36,93,108,135],"business":[37,69],"decision-making.":[38],"In":[39,79,113],"frequent":[40],"mining,":[42,88],"a":[43,90,140],"recent":[44],"effort":[45],"has":[46],"been":[47],"incorporate":[49,83],"utility":[50,59,84,95,110,129,138,164],"into":[51,85],"selection":[54],"framework,":[55],"so":[56],"that":[57,159],"high":[58,94,109,128,163],"(frequent":[60],"or":[61],"infrequent)":[62],"mined":[65],"address":[67],"typical":[68],"concerns":[70],"dollar":[73],"value":[74],"associated":[75],"with":[76,145,170],"each":[77],"pattern.":[78],"this":[80],"paper,":[81],"we":[82,115],"sequential":[86,111],"generic":[91],"sequence":[96,120],"is":[98,104],"defined.":[99],"An":[100],"efficient":[101],"algorithm,":[102],"USpan,":[103,114],"presented":[105],"mine":[107],"patterns.":[112],"introduce":[116],"lexicographic":[118],"quantitative":[119],"tree":[121],"extract":[123],"complete":[125],"set":[126],"sequences":[130,165],"design":[132],"concatenation":[133],"mechanisms":[134],"calculating":[136],"node":[141],"its":[143],"children":[144],"two":[146],"effective":[147],"pruning":[148],"strategies.":[149],"Substantial":[150],"experiments":[151],"on":[152],"both":[153],"synthetic":[154],"real":[156],"datasets":[157],"show":[158],"USpan":[160],"efficiently":[161],"identifies":[162],"from":[166],"large":[167],"scale":[168],"data":[169],"very":[171],"low":[172],"minimum":[173],"utility.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":5}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2016-06-24T00:00:00"}