{"id":"https://openalex.org/W2584045454","doi":"https://doi.org/10.1109/bigdata.2016.7840678","title":"Distributed and parallel high utility sequential pattern mining","display_name":"Distributed and parallel high utility sequential pattern mining","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584045454","doi":"https://doi.org/10.1109/bigdata.2016.7840678","mag":"2584045454"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (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/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":false,"raw_author_name":"Morteza Zihayat","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038579484","display_name":"Zane Zhenhua Hut","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zane Zhenhua Hut","raw_affiliation_strings":["Platform Computing, IBM, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Platform Computing, IBM, Toronto, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"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 Electrical Engineering and Computer Science, York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002737263","display_name":"Yonggang Hut","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yonggang Hut","raw_affiliation_strings":["York University, Toronto, ON, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2843,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9752692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"853","last_page":"862"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9846000075340271,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9811000227928162,"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":0.8598568439483643},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7246221899986267},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7182766199111938},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6384674906730652},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.523832380771637},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5144415497779846},{"id":"https://openalex.org/keywords/distributed-memory","display_name":"Distributed memory","score":0.4672930836677551},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.43972596526145935},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4347188472747803},{"id":"https://openalex.org/keywords/distributed-computing-environment","display_name":"Distributed Computing Environment","score":0.41997385025024414},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3664848208427429},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2562599182128906},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.24463129043579102},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1571042537689209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598568439483643},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7246221899986267},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7182766199111938},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6384674906730652},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.523832380771637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5144415497779846},{"id":"https://openalex.org/C91481028","wikidata":"https://www.wikidata.org/wiki/Q1054686","display_name":"Distributed memory","level":3,"score":0.4672930836677551},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.43972596526145935},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4347188472747803},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.41997385025024414},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3664848208427429},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2562599182128906},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.24463129043579102},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1571042537689209},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1017116093","https://openalex.org/W1562218786","https://openalex.org/W1573197814","https://openalex.org/W1966426226","https://openalex.org/W1968940768","https://openalex.org/W1983765024","https://openalex.org/W1985716338","https://openalex.org/W2015045861","https://openalex.org/W2023770077","https://openalex.org/W2071242348","https://openalex.org/W2137548844","https://openalex.org/W2144309138","https://openalex.org/W2146606092","https://openalex.org/W2158454296","https://openalex.org/W2158741508","https://openalex.org/W2164364358","https://openalex.org/W2166951489","https://openalex.org/W2189465200","https://openalex.org/W2200022554","https://openalex.org/W2329285245","https://openalex.org/W2464981846","https://openalex.org/W4241444809","https://openalex.org/W6646041112","https://openalex.org/W6687322159","https://openalex.org/W6719666754"],"related_works":["https://openalex.org/W3009866696","https://openalex.org/W127900883","https://openalex.org/W997248972","https://openalex.org/W2013919567","https://openalex.org/W2368240274","https://openalex.org/W2539081058","https://openalex.org/W2509957587","https://openalex.org/W2368359320","https://openalex.org/W2393611108","https://openalex.org/W2152545933"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,28,34,117,151],"mining":[3,81,154],"high":[4],"utility":[5],"sequential":[6],"patterns":[7],"(HUSP)":[8],"has":[9],"been":[10],"studied":[11],"recently.":[12],"Existing":[13],"solutions":[14],"are":[15,48,58],"mostly":[16],"memory-based,":[17],"which":[18],"assume":[19],"that":[20],"data":[21,54,57,109],"can":[22],"fit":[23],"into":[24],"the":[25,52,149],"main":[26],"memory":[27],"a":[29,69,77,115,125],"computer.":[30],"However,":[31],"with":[32,67,141],"advent":[33],"big":[35,53,84],"data,":[36],"such":[37],"an":[38],"assumption":[39],"does":[40],"not":[41,49],"hold":[42],"any":[43],"longer.":[44],"Hence,":[45],"existing":[46],"algorithms":[47],"applicable":[50],"to":[51,64,95,107,120],"environments,":[55],"where":[56],"often":[59],"distributed":[60,87,126],"and":[61,88,128,132,144],"too":[62],"large":[63,145,157],"be":[65],"dealt":[66],"by":[68],"single":[70],"machine.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76,114],"new":[78],"framework":[79],"for":[80,153],"HUSPs":[82,97,155],"in":[83,110,124],"data.":[85],"A":[86],"parallel":[89],"algorithm":[90],"called":[91],"BigHUSP":[92,102,152],"is":[93],"proposed":[94],"discover":[96],"efficiently.":[98],"At":[99],"its":[100],"heart,":[101],"uses":[103],"multiple":[104],"MapReduce-like":[105],"steps":[106],"process":[108],"parallel.":[111],"We":[112],"also":[113],"number":[116],"pruning":[118],"strategies":[119],"minimize":[121],"search":[122],"space":[123],"environment,":[127],"thus":[129],"decrease":[130],"computational":[131],"communication":[133],"costs,":[134],"while":[135],"still":[136],"maintaining":[137],"correctness.":[138],"Our":[139],"experiments":[140],"real":[142],"life":[143],"synthetic":[146],"datasets":[147],"validate":[148],"effectiveness":[150],"from":[156],"sequence":[158],"datasets.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
