{"id":"https://openalex.org/W2063012022","doi":"https://doi.org/10.1109/icsmc.2011.6084028","title":"An OpenCL Candidate Slicing Frequent Pattern Mining algorithm on graphic processing units","display_name":"An OpenCL Candidate Slicing Frequent Pattern Mining algorithm on graphic processing units","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2063012022","doi":"https://doi.org/10.1109/icsmc.2011.6084028","mag":"2063012022"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2011.6084028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6084028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Systems, Man, and Cybernetics","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/A5063943769","display_name":"Che-Yu Lin","orcid":"https://orcid.org/0000-0002-0440-2977"},"institutions":[{"id":"https://openalex.org/I59460038","display_name":"Chung Hua University","ror":"https://ror.org/01yzz0f51","country_code":"TW","type":"education","lineage":["https://openalex.org/I59460038"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Yu Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I59460038"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan","institution_ids":["https://openalex.org/I59460038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553990","display_name":"Kun-Ming Yu","orcid":"https://orcid.org/0000-0001-8706-3490"},"institutions":[{"id":"https://openalex.org/I59460038","display_name":"Chung Hua University","ror":"https://ror.org/01yzz0f51","country_code":"TW","type":"education","lineage":["https://openalex.org/I59460038"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Ming Yu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I59460038"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan","institution_ids":["https://openalex.org/I59460038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101688979","display_name":"Wen Ouyang","orcid":"https://orcid.org/0000-0001-5558-7804"},"institutions":[{"id":"https://openalex.org/I59460038","display_name":"Chung Hua University","ror":"https://ror.org/01yzz0f51","country_code":"TW","type":"education","lineage":["https://openalex.org/I59460038"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen Ouyang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I59460038"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung-Hua University, Hsinchu 300, Taiwan","institution_ids":["https://openalex.org/I59460038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033613520","display_name":"Jiayi Zhou","orcid":"https://orcid.org/0000-0002-3274-1802"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiayi Zhou","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","Department of Computer Science, National Tsing Hua University, HsinChu 300, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, HsinChu 300, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0565,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92803785,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"44","issue":null,"first_page":"2344","last_page":"2349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9923999905586243,"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":0.9639000296592712,"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":0.884648323059082},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.7948259115219116},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6966097354888916},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5644171237945557},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5486581325531006},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.4706299304962158},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4631041884422302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4320720434188843},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.421755313873291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.406953364610672},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.34529000520706177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.884648323059082},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.7948259115219116},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6966097354888916},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5644171237945557},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5486581325531006},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.4706299304962158},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4631041884422302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4320720434188843},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.421755313873291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.406953364610672},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.34529000520706177},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2011.6084028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6084028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Systems, Man, and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1660876363","https://openalex.org/W2012028912","https://openalex.org/W2016136819","https://openalex.org/W2026048928","https://openalex.org/W2030969394","https://openalex.org/W2031420891","https://openalex.org/W2037965136","https://openalex.org/W2061385305","https://openalex.org/W2105532208","https://openalex.org/W2115482638","https://openalex.org/W2122137926","https://openalex.org/W2170634604","https://openalex.org/W6628750762","https://openalex.org/W6678493076"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W3012205960","https://openalex.org/W1483188779"],"abstract_inverted_index":{"Frequent":[0,106],"pattern":[1],"mining":[2,8],"(FPM)":[3],"is":[4,44,90,130,143,155],"important":[5],"in":[6],"data":[7,37],"field":[9],"with":[10,70],"Apriori":[11,159],"algorithm":[12,26,160],"to":[13,21,52,91,120,132,137],"be":[14,133],"one":[15],"of":[16,80,87],"the":[17,31,42,55,78,85,113,123,150],"commonly":[18],"used":[19],"approaches":[20],"solve":[22],"it.":[23],"However,":[24],"Aprori":[25,95],"encounters":[27],"an":[28,156],"issue":[29],"that":[30],"computation":[32,56,164],"time":[33,165],"increases":[34,39],"dramatically":[35],"when":[36,41],"size":[38],"and":[40,99,166],"threshold":[43],"small.":[45],"Many":[46],"parallel":[47,94,158],"algorithms":[48],"have":[49,64],"been":[50,66],"proposed":[51],"speed":[53],"up":[54],"using":[57,97],"computer":[58],"clusters":[59],"or":[60],"grid":[61],"systems.":[62],"GPUs":[63],"also":[65],"applied":[67],"on":[68],"FPM":[69],"only":[71],"few":[72],"adopting":[73],"OpenCL":[74,76],"although":[75],"has":[77],"advantage":[79],"being":[81],"platform":[82],"independent.":[83],"Thus,":[84],"aim":[86],"this":[88],"research":[89],"develop":[92],"efficient":[93,135,157],"strategy":[96,129],"GPU":[98],"OpenCL.":[100],"Our":[101],"novel":[102],"method,":[103],"Candidate":[104],"Slicing":[105],"Pattern":[107],"Mining":[108],"(CSFPM)":[109],"algorithm,":[110],"improves":[111],"over":[112],"previous":[114,151],"method":[115],"by":[116],"slicing":[117],"candidate":[118],"information":[119],"better":[121],"balance":[122],"load":[124],"between":[125],"processing":[126],"units.":[127],"This":[128],"proved":[131],"more":[134],"according":[136],"our":[138],"experiments.":[139],"For":[140],"example,":[141],"CSFPM":[142,154],"at":[144],"most":[145],"2.6":[146],"times":[147],"faster":[148],"than":[149],"method.":[152],"Therefore,":[153],"which":[161],"can":[162],"reduce":[163],"improve":[167],"overall":[168],"performance.":[169]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
