{"id":"https://openalex.org/W2967650639","doi":"https://doi.org/10.1109/cec.2019.8790144","title":"PBAR: Parallelized Brain Storm Optimization for Association Rule Mining","display_name":"PBAR: Parallelized Brain Storm Optimization for Association Rule Mining","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967650639","doi":"https://doi.org/10.1109/cec.2019.8790144","mag":"2967650639"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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/A5068061222","display_name":"Lianbo Ma","orcid":"https://orcid.org/0000-0002-9969-211X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianbo Ma","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375762","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-0432-2942"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431163","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-9048-2979"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103818253","display_name":"Guangming Yang","orcid":"https://orcid.org/0009-0003-2596-0163"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Yang","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616612","display_name":"Yichuan Zhang","orcid":"https://orcid.org/0000-0002-7411-3409"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Zhang","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.7232,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78727427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.996999979019165,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9941999912261963,"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/T10320","display_name":"Neural Networks and Applications","score":0.9919000267982483,"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":0.767256498336792},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7192730903625488},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.675843358039856},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.672560453414917},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6649296283721924},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.537476658821106},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5008580684661865},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.430752694606781},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3971702754497528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3937244117259979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3534262776374817},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.31780990958213806},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.15258362889289856},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12152761220932007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767256498336792},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7192730903625488},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.675843358039856},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.672560453414917},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6649296283721924},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.537476658821106},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5008580684661865},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.430752694606781},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3971702754497528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3937244117259979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3534262776374817},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.31780990958213806},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.15258362889289856},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12152761220932007},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2366346","https://openalex.org/W137929096","https://openalex.org/W1545144002","https://openalex.org/W1801960522","https://openalex.org/W1977556410","https://openalex.org/W2023059235","https://openalex.org/W2037693214","https://openalex.org/W2064853889","https://openalex.org/W2073459066","https://openalex.org/W2098009945","https://openalex.org/W2108399535","https://openalex.org/W2119738171","https://openalex.org/W2135432106","https://openalex.org/W2136078606","https://openalex.org/W2150789866","https://openalex.org/W2152195021","https://openalex.org/W2166559705","https://openalex.org/W2189465200","https://openalex.org/W2475409967","https://openalex.org/W2490475725","https://openalex.org/W2508627537","https://openalex.org/W2528981102","https://openalex.org/W2557282805","https://openalex.org/W2568138291","https://openalex.org/W2570131193","https://openalex.org/W2612479140","https://openalex.org/W2666560826","https://openalex.org/W2794841009","https://openalex.org/W2807831334","https://openalex.org/W2865341353","https://openalex.org/W2883306544","https://openalex.org/W3134954698","https://openalex.org/W6600097058","https://openalex.org/W6605545324","https://openalex.org/W6632410164","https://openalex.org/W6644682428","https://openalex.org/W6656318772","https://openalex.org/W6668990524","https://openalex.org/W6674798378","https://openalex.org/W6687322159","https://openalex.org/W6730095537","https://openalex.org/W6737701272","https://openalex.org/W6750500961","https://openalex.org/W6752544354"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"The":[0,63,120,171],"brain":[1,22,54],"storm":[2,55],"optimization":[3],"(BSO)":[4],"algorithm":[5,108],"is":[6,27,66,94,114,124,153],"a":[7,52,105,143,163],"new":[8,92,106],"and":[9,39,75],"promising":[10],"swarm":[11],"intelligence":[12,18],"paradigm,":[13],"based":[14,57,111],"on":[15,58,112,129,162],"the":[16,20,32,69,84,88,157,175],"emerging":[17],"of":[19,72,91,122,177],"human":[21],"storming":[23],"process.":[24],"However,":[25],"BSO":[26,79,98,128],"ineffective":[28],"to":[29,67,82,96,155],"deal":[30],"with":[31,137],"large":[33],"data":[34],"sets":[35],"because":[36],"its":[37],"clustering":[38,74],"idea":[40,65,76],"updating":[41,77],"operations":[42,71],"are":[43],"computationally":[44],"expensive.":[45],"Aiming":[46],"at":[47],"this":[48],"issue,":[49],"we":[50],"propose":[51],"parallelized":[53,107],"optimizer":[56],"Spark":[59],"framework":[60],"called":[61,109],"PLBSO.":[62],"basic":[64],"parallelize":[68],"complex":[70,130],"population":[73],"in":[78],"so":[80],"as":[81],"reduce":[83],"computation":[85],"cost.":[86],"Especially,":[87],"generation":[89],"process":[90],"ideas":[93],"modified":[95],"make":[97],"more":[99],"suitable":[100],"for":[101,116],"parallelism.":[102],"In":[103],"addition,":[104],"PBAR":[110,152],"PLBSO":[113,123,140],"proposed":[115],"association":[117,158],"rule":[118,159],"mining.":[119],"performance":[121],"evaluated":[125],"over":[126],"serialized":[127,138],"multimodal":[131],"benchmarks.":[132],"Results":[133],"show":[134],"that,":[135],"compared":[136],"BSO,":[139],"can":[141],"acquire":[142],"350%":[144],"speedup":[145],"approximately":[146],"while":[147],"keeping":[148],"similar":[149],"accuracy.":[150],"Finally,":[151],"adopted":[154],"resolve":[156],"mining":[160],"problem":[161],"transactional":[164],"dataset":[165],"taken":[166],"from":[167],"IBM":[168],"SPSS":[169],"modeler.":[170],"encouraging":[172],"results":[173],"prove":[174],"validity":[176],"our":[178],"algorithms.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}