{"id":"https://openalex.org/W2604199453","doi":"https://doi.org/10.3233/ida-170874","title":"Efficiently mining high utility sequential patterns in static and streaming data","display_name":"Efficiently mining high utility sequential patterns in static and streaming data","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2604199453","doi":"https://doi.org/10.3233/ida-170874","mag":"2604199453"},"language":"en","primary_location":{"id":"doi:10.3233/ida-170874","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-170874","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5037298220","display_name":"Morteza Zihayat","orcid":"https://orcid.org/0000-0002-1144-7364"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Morteza Zihayat","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006012039","display_name":"Chengwei Wu","orcid":"https://orcid.org/0000-0001-9600-0205"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Wei Wu","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009394818","display_name":"Aijun An","orcid":"https://orcid.org/0000-0003-1765-5751"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aijun An","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043399804","display_name":"Vincent S. Tseng","orcid":"https://orcid.org/0000-0002-4853-1594"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vincent S. Tseng","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108737916","display_name":"Chien Liang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien Lin","raw_affiliation_strings":["Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan","institution_ids":["https://openalex.org/I3141939062"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037298220"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":1.9841,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89270382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":null,"first_page":"S103","last_page":"S135"},"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":0.9921000003814697,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9785000085830688,"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":0.8457871675491333},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.8421894311904907},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7577134966850281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7504386901855469},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6806313395500183},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5002522468566895},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.45851609110832214},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.43649280071258545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3418491780757904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8457871675491333},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.8421894311904907},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7577134966850281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7504386901855469},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6806313395500183},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5002522468566895},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.45851609110832214},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.43649280071258545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3418491780757904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-170874","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-170874","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336958","display_name":"Institute for Information Industry, Ministry of Science and Technology, Taiwan","ror":"https://ror.org/01d8kr740"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1966426226","https://openalex.org/W1983765024","https://openalex.org/W1984488826","https://openalex.org/W1990800901","https://openalex.org/W1991704213","https://openalex.org/W1999192179","https://openalex.org/W2015045861","https://openalex.org/W2049785083","https://openalex.org/W2068383400","https://openalex.org/W2071242348","https://openalex.org/W2099398039","https://openalex.org/W2111240842","https://openalex.org/W2114423174","https://openalex.org/W2115274736","https://openalex.org/W2118343364","https://openalex.org/W2126046032","https://openalex.org/W2144309138","https://openalex.org/W2151028259","https://openalex.org/W2151607268","https://openalex.org/W2158454296","https://openalex.org/W2161637667","https://openalex.org/W2168196587","https://openalex.org/W2329285245","https://openalex.org/W2650744762","https://openalex.org/W4250607653","https://openalex.org/W6636681434","https://openalex.org/W6646041112","https://openalex.org/W6654360545","https://openalex.org/W6667358830","https://openalex.org/W6676749458","https://openalex.org/W6676885305","https://openalex.org/W6677809688","https://openalex.org/W6679216401","https://openalex.org/W6682641223","https://openalex.org/W6684256206","https://openalex.org/W6739809580"],"related_works":["https://openalex.org/W1995430839","https://openalex.org/W807005383","https://openalex.org/W2356691358","https://openalex.org/W2738041616","https://openalex.org/W4319987593","https://openalex.org/W2364279976","https://openalex.org/W1995121461","https://openalex.org/W2005454484","https://openalex.org/W2074496324","https://openalex.org/W2281719210"],"abstract_inverted_index":{"High":[0],"utility":[1,37,84,130],"sequential":[2,38,85],"pattern":[3],"(HUSP)":[4],"mining":[5,46,82,118,174],"has":[6],"emerged":[7],"as":[8],"a":[9,31,67,78,128,165],"novel":[10,79,129],"topic":[11],"in":[12,48,120,143,160,226],"data":[13,56,61,97,191,208,249,255],"mining.":[14,145],"Although":[15],"some":[16],"preliminary":[17],"works":[18],"have":[19],"been":[20],"conducted":[21],"on":[22,45,212],"this":[23,93],"topic,":[24],"they":[25,42],"incur":[26],"the":[27,140,194,201,222,248],"problem":[28],"of":[29,196,228,235,244],"producing":[30],"large":[32],"search":[33,141],"space":[34,142],"for":[35,81,117,137],"high":[36,68,83],"patterns.":[39],"In":[40,92,126],"addition,":[41,127],"mainly":[43],"focus":[44],"HUSPs":[47,119,159,189,206,253],"static":[49,88,161],"databases":[50,162],"and":[51,64,89,104,123,184,187,215,233,251],"do":[52],"not":[53],"take":[54],"streaming":[55,90],"into":[57],"account,":[58],"where":[59],"unbounded":[60],"come":[62],"continuously":[63],"often":[65],"at":[66],"speed.":[69],"To":[70,193],"efficiently":[71],"deal":[72],"with":[73],"both":[74,121,213],"problems,":[75],"we":[76],"propose":[77,147],"framework":[80],"patterns":[86],"over":[87,175,190,207,254],"databases.":[91],"regard,":[94],"two":[95],"efficient":[96],"structures":[98,250],"named":[99,150,168],"ItemUtilLists":[100,183],"(Item":[101],"Utility":[102,107,134,153,171],"Lists)":[103],"HUSP-Tree":[105,185],"(High":[106,152,170],"Sequential":[108,154,172],"Pattern":[109,155,173],"Tree)":[110],"are":[111],"proposed":[112,136,179],"to":[113,157,180,204,246],"maintain":[114],"essential":[115],"information":[116],"offline":[122],"online":[124,186],"fashions.":[125],"model":[131],"called":[132],"Sequence-Suffix":[133],"is":[135,178,200],"effectively":[138],"pruning":[139],"HUSP":[144],"We":[146],"an":[148],"algorithm":[149,167],"HUSP-Miner":[151,220],"Miner)":[156],"find":[158,188,205],"efficiently.":[163],"Then,":[164],"one-pass":[166],"HUSP-Stream":[169,199,245],"Data":[176],"Streams)":[177],"incrementally":[181],"update":[182,247],"streams.":[192,209,256],"best":[195],"our":[197],"knowledge,":[198],"first":[202],"method":[203],"Experimental":[210],"results":[211],"real":[214],"synthetic":[216],"datasets":[217],"show":[218],"that":[219],"outperforms":[221],"compared":[223],"algorithms":[224],"substantially":[225],"terms":[227],"execution":[229],"time,":[230],"memory":[231],"usage":[232],"number":[234],"generated":[236],"candidates.":[237],"The":[238],"experiments":[239],"also":[240],"demonstrate":[241],"impressive":[242],"performance":[243],"discover":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}