{"id":"https://openalex.org/W2560015249","doi":"https://doi.org/10.1109/icumt.2016.7765363","title":"Explore maximal frequent itemsets for big data pre-processing based on small sample in cloud computing","display_name":"Explore maximal frequent itemsets for big data pre-processing based on small sample in cloud computing","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2560015249","doi":"https://doi.org/10.1109/icumt.2016.7765363","mag":"2560015249"},"language":"en","primary_location":{"id":"doi:10.1109/icumt.2016.7765363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt.2016.7765363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","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/A5101127949","display_name":"Gaochao Xu","orcid":"https://orcid.org/0000-0002-4450-7941"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gaochao Xu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068477244","display_name":"Yan Ding","orcid":"https://orcid.org/0000-0002-8636-9831"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ding","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103050318","display_name":"Chunyi Wu","orcid":"https://orcid.org/0000-0002-2186-3433"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyi Wu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091839687","display_name":"Yunan Zhai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunan Zhai","raw_affiliation_strings":["Jilin Communications Polytechnic, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin Communications Polytechnic, Changchun, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044953356","display_name":"Jia Zhao","orcid":"https://orcid.org/0000-0002-3652-1903"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Zhao","raw_affiliation_strings":["High-Assurance Software Laboratory, ChangChun University of Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"High-Assurance Software Laboratory, ChangChun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101127949"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":1.327,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87064832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"235","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.994700014591217,"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/T11106","display_name":"Data Management and Algorithms","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7983452677726746},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.7094360589981079},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6878321170806885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740475296974182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38862869143486023},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3255760669708252},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15625059604644775}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7983452677726746},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.7094360589981079},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6878321170806885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740475296974182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38862869143486023},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3255760669708252},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15625059604644775},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icumt.2016.7765363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt.2016.7765363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1073581072","https://openalex.org/W1484413656","https://openalex.org/W1543461373","https://openalex.org/W1964083923","https://openalex.org/W1968818631","https://openalex.org/W1974871916","https://openalex.org/W1975930001","https://openalex.org/W1976914761","https://openalex.org/W1993892970","https://openalex.org/W1995797177","https://openalex.org/W2016058782","https://openalex.org/W2029576328","https://openalex.org/W2066070009","https://openalex.org/W2073035820","https://openalex.org/W2078500352","https://openalex.org/W2087252221","https://openalex.org/W2090072113","https://openalex.org/W2113718594","https://openalex.org/W2114148599","https://openalex.org/W2129714679","https://openalex.org/W2153028052","https://openalex.org/W2160311168","https://openalex.org/W2543331515","https://openalex.org/W2998574808","https://openalex.org/W6628750762","https://openalex.org/W6677253773"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"The":[0,144],"data":[1,6,29,81,95],"mining":[2,33,96],"issue":[3],"in":[4,79,97],"big":[5,80],"processing":[7],"which":[8,35,89],"is":[9,133],"based":[10,61],"on":[11,51,62,103],"cloud":[12,87],"computing":[13,88],"has":[14,65],"become":[15],"a":[16,54,70],"hot":[17],"research":[18],"topic.":[19],"Generally,":[20],"most":[21,76,120],"of":[22,74,85,94,140,155,177],"the":[23,28,31,75,86,92,104,117,119,131,138,163,169,174],"previous":[24],"work":[25],"directly":[26,101],"analyzes":[27],"through":[30,135],"existing":[32],"approaches,":[34],"may":[36],"cause":[37],"problems":[38],"such":[39],"as":[40],"redundant":[41],"computation,":[42],"high":[43],"time":[44],"complexity,":[45],"and":[46,107,172],"large":[47],"storage":[48,170],"space.":[49],"Based":[50],"this":[52],"argument,":[53],"novel":[55],"heuristic":[56],"approach":[57],"called":[58],"PASS":[59,100,150],"(Pre-processing":[60],"Small":[63],"Sample)":[64],"been":[66],"proposed":[67],"for":[68],"finding":[69],"small":[71],"sample":[72],"composed":[73],"frequent":[77,121,165],"transactions":[78,110,122],"pre-processing.":[82],"Taking":[83],"advantage":[84],"can":[90,123],"solve":[91],"bottleneck":[93],"distributed":[98],"environment,":[99],"operates":[102],"transaction":[105,128,142],"database":[106],"groups":[108],"all":[109,137],"according":[111],"to":[112],"different":[113],"dimensions.":[114],"By":[115],"using":[116],"Bitmap-Sort,":[118],"be":[124],"screened":[125],"from":[126,159],"each":[127,141],"set.":[129,143],"Finally,":[130],"best-transaction-set":[132],"obtained":[134],"aggregating":[136],"transaction-elects":[139],"experimental":[145],"results":[146],"have":[147],"shown":[148],"that":[149],"significantly":[151],"avoids":[152],"producing":[153],"plenty":[154],"candidate":[156],"sets":[157],"resulting":[158],"join":[160],"operation,":[161],"accelerates":[162],"maximal":[164],"itemsets":[166],"mining,":[167],"economizes":[168],"space,":[171],"improves":[173],"utilization":[175],"rate":[176],"resources":[178],"simultaneously.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}