{"id":"https://openalex.org/W3212326024","doi":"https://doi.org/10.1145/3487046","title":"Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model","display_name":"Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3212326024","doi":"https://doi.org/10.1145/3487046","mag":"3212326024"},"language":"en","primary_location":{"id":"doi:10.1145/3487046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487046","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11250/3014319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences, Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057697626","display_name":"Youcef Djenouri","orcid":"https://orcid.org/0000-0003-0135-7450"},"institutions":[{"id":"https://openalex.org/I173888879","display_name":"SINTEF","ror":"https://ror.org/01f677e56","country_code":"NO","type":"facility","lineage":["https://openalex.org/I173888879"]},{"id":"https://openalex.org/I4387930215","display_name":"SINTEF Digital","ror":"https://ror.org/028m52w57","country_code":null,"type":"facility","lineage":["https://openalex.org/I173888879","https://openalex.org/I4387930215"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Youcef Djenouri","raw_affiliation_strings":["SINTEF Digital, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"SINTEF Digital, Oslo, Norway","institution_ids":["https://openalex.org/I173888879","https://openalex.org/I4387930215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA","TW"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University, Canada and China Medical University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Brandon University, Canada and China Medical University, Taichung, Taiwan","institution_ids":["https://openalex.org/I184693016","https://openalex.org/I48890080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012566343","display_name":"Yuanfa Li","orcid":"https://orcid.org/0000-0001-9677-0752"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfa Li","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Illinois, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000640263"],"corresponding_institution_ids":["https://openalex.org/I179863766"],"apc_list":null,"apc_paid":null,"fwci":6.2556,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96544539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"26"},"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":0.984499990940094,"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":0.9782000184059143,"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":0.8826162815093994},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7820850610733032},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7361535429954529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6805498600006104},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.46259987354278564},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44311416149139404},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4287130832672119},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23788130283355713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08732962608337402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8826162815093994},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7820850610733032},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7361535429954529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6805498600006104},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.46259987354278564},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44311416149139404},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4287130832672119},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23788130283355713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08732962608337402},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3487046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487046","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:sintef.brage.unit.no:11250/3014319","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3014319","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"26","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"pmh:oai:sintef.brage.unit.no:11250/3014319","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3014319","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"26","raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317045","display_name":"H\u00f8gskulen p\u00e5 Vestlandet","ror":"https://ror.org/05phns765"},{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W40547947","https://openalex.org/W80315153","https://openalex.org/W820072188","https://openalex.org/W1842433003","https://openalex.org/W1968940768","https://openalex.org/W1990800901","https://openalex.org/W1995797177","https://openalex.org/W2015045861","https://openalex.org/W2015296596","https://openalex.org/W2017264939","https://openalex.org/W2049785083","https://openalex.org/W2056910091","https://openalex.org/W2059464296","https://openalex.org/W2074058268","https://openalex.org/W2079931838","https://openalex.org/W2100406636","https://openalex.org/W2115482638","https://openalex.org/W2125352627","https://openalex.org/W2144309138","https://openalex.org/W2144611918","https://openalex.org/W2147694185","https://openalex.org/W2151201497","https://openalex.org/W2153028052","https://openalex.org/W2157169143","https://openalex.org/W2161637667","https://openalex.org/W2173213060","https://openalex.org/W2200022554","https://openalex.org/W2227296972","https://openalex.org/W2229420030","https://openalex.org/W2328335709","https://openalex.org/W2507635762","https://openalex.org/W2512377082","https://openalex.org/W2513061279","https://openalex.org/W2737675449","https://openalex.org/W2742239345","https://openalex.org/W2773435160","https://openalex.org/W2803163798","https://openalex.org/W2899407706","https://openalex.org/W2903536154","https://openalex.org/W2960384299","https://openalex.org/W2973857687","https://openalex.org/W2973918817","https://openalex.org/W2976436416","https://openalex.org/W3003236177","https://openalex.org/W3006136924","https://openalex.org/W3015232492","https://openalex.org/W3023692241","https://openalex.org/W3023761310","https://openalex.org/W3035808318","https://openalex.org/W3102927519","https://openalex.org/W3111543298","https://openalex.org/W3111577069"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W4392910024","https://openalex.org/W1524101012"],"abstract_inverted_index":{"High-utility":[0],"sequential":[1,17,35,116],"pattern":[2,36],"mining":[3,33,57,114,162],"(HUSPM)":[4],"is":[5,62,81,86],"a":[6,97,106],"hot":[7],"research":[8],"topic":[9],"in":[10,68,72,137,153,179,182],"recent":[11],"decades":[12],"since":[13,71],"it":[14,85],"combines":[15],"both":[16],"and":[18,25,65,84,108,131,148,194],"utility":[19],"properties":[20,123],"to":[21,54,88,127,157,197],"reveal":[22],"more":[23],"information":[24],"knowledge":[26],"rather":[27],"than":[28],"the":[29,75,78,90,93,129,134,138,154,159,163,167,173,189,198],"traditional":[30],"frequent":[31],"itemset":[32],"or":[34],"mining.":[37],"Several":[38],"works":[39],"of":[40,47,77,96,133,184,188,191],"HUSPM":[41],"have":[42],"been":[43],"presented":[44],"but":[45],"most":[46],"them":[48],"are":[49,124,151],"based":[50,118],"on":[51,119],"main":[52,94],"memory":[53,95],"speed":[55],"up":[56],"performance.":[58],"However,":[59],"this":[60,101],"assumption":[61],"not":[63,66],"realistic":[64],"suitable":[67],"large-scale":[69,120,180],"environments":[70],"real":[73],"industry,":[74],"size":[76],"collected":[79],"data":[80,91,144],"very":[82],"huge":[83],"impossible":[87],"fit":[89],"into":[92],"single":[98],"machine.":[99],"In":[100,141],"article,":[102],"we":[103,169],"first":[104],"develop":[105],"parallel":[107],"distributed":[109,192],"three-stage":[110],"MapReduce":[111],"model":[112,175],"for":[113,161],"high-utility":[115],"patterns":[117,136],"databases.":[121],"Two":[122],"then":[125],"developed":[126,139,155],"hold":[128],"correctness":[130],"completeness":[132],"discovered":[135],"framework.":[140],"addition,":[142],"two":[143],"structures":[145],"called":[146],"sidset":[147],"utility-linked":[149],"list":[150],"utilized":[152],"framework":[156],"accelerate":[158],"computation":[160],"required":[164],"patterns.":[165],"From":[166],"results,":[168],"can":[170],"observe":[171],"that":[172],"designed":[174],"has":[176],"good":[177],"performance":[178],"datasets":[181],"terms":[183],"runtime,":[185],"memory,":[186],"efficiency":[187],"number":[190],"nodes,":[193],"scalability":[195],"compared":[196],"serial":[199],"HUSP-Span":[200],"approach.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}