{"id":"https://openalex.org/W2918543115","doi":"https://doi.org/10.1109/access.2019.2902602","title":"Efficiently Mining Frequent Itemsets on Massive Data","display_name":"Efficiently Mining Frequent Itemsets on Massive Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2918543115","doi":"https://doi.org/10.1109/access.2019.2902602","mag":"2918543115"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2902602","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902602","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2902602","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006689000","display_name":"Xixian Han","orcid":"https://orcid.org/0000-0001-5477-9249"},"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":true,"raw_author_name":"Xixian Han","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044789592","display_name":"Xianmin Liu","orcid":"https://orcid.org/0000-0002-4229-636X"},"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":"Xianmin Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756751","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0003-0799-2455"},"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":"Jian Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103093647","display_name":"Guojun Lai","orcid":"https://orcid.org/0009-0008-4312-7665"},"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":"Guojun Lai","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070851627","display_name":"Hong Gao","orcid":"https://orcid.org/0000-0002-2000-6683"},"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":"Hong Gao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387065","display_name":"Jianzhong Li","orcid":"https://orcid.org/0000-0002-4119-0571"},"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":"Jianzhong Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006689000"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.0872,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95595871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"31409","last_page":"31421"},"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":0.9778000116348267,"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":0.9753999710083008,"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":0.8175387978553772},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.7774338722229004},{"id":"https://openalex.org/keywords/precomputation","display_name":"Precomputation","score":0.7216227054595947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6828776001930237},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.665613055229187},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5816525816917419},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5487754940986633},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4564738869667053},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.4152153730392456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32449644804000854},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21650195121765137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8175387978553772},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.7774338722229004},{"id":"https://openalex.org/C159379195","wikidata":"https://www.wikidata.org/wiki/Q7239568","display_name":"Precomputation","level":3,"score":0.7216227054595947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6828776001930237},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.665613055229187},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5816525816917419},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5487754940986633},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4564738869667053},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4152153730392456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32449644804000854},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21650195121765137},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2902602","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902602","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:38a0dfc7cd6f4d2f9e486fa8ea116b79","is_oa":true,"landing_page_url":"https://doaj.org/article/38a0dfc7cd6f4d2f9e486fa8ea116b79","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 31409-31421 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2902602","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902602","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1416903654","display_name":null,"funder_award_id":"2016YFB1000703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G24145680","display_name":null,"funder_award_id":"61632010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4894050043","display_name":null,"funder_award_id":"61832003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7765297859","display_name":null,"funder_award_id":"61872106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8464659086","display_name":null,"funder_award_id":"61502121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W841472321","https://openalex.org/W1484413656","https://openalex.org/W1497209257","https://openalex.org/W1498871448","https://openalex.org/W1553696291","https://openalex.org/W1597161471","https://openalex.org/W1983524036","https://openalex.org/W1997708946","https://openalex.org/W2002544066","https://openalex.org/W2003819708","https://openalex.org/W2054520963","https://openalex.org/W2069356553","https://openalex.org/W2080632942","https://openalex.org/W2099404336","https://openalex.org/W2100406636","https://openalex.org/W2110893883","https://openalex.org/W2115482638","https://openalex.org/W2116396873","https://openalex.org/W2125231721","https://openalex.org/W2151953639","https://openalex.org/W2166559705","https://openalex.org/W2256820277","https://openalex.org/W2293888039","https://openalex.org/W2294178609","https://openalex.org/W2790530433","https://openalex.org/W3150565720","https://openalex.org/W4231069483","https://openalex.org/W4254618077","https://openalex.org/W4256515882","https://openalex.org/W6628750762","https://openalex.org/W6629658345","https://openalex.org/W6633402183","https://openalex.org/W6635733350","https://openalex.org/W6697044326"],"related_works":["https://openalex.org/W126258643","https://openalex.org/W2157769033","https://openalex.org/W2096978683","https://openalex.org/W414359703","https://openalex.org/W2687399516","https://openalex.org/W2170398238","https://openalex.org/W2543067032","https://openalex.org/W3029113864","https://openalex.org/W2020308516","https://openalex.org/W4242327143"],"abstract_inverted_index":{"Frequent":[0],"itemset":[1,70],"mining":[2,71],"is":[3,167],"an":[4],"important":[5],"operation":[6],"to":[7,74,155,169],"return":[8,137],"all":[9],"itemsets":[10,35,78,113,141,174],"in":[11],"the":[12,27,47,57,76,85,91,99,111,115,122,125,130,138,143,147,157,160,172,176,199,210],"transaction":[13,86],"table,":[14],"which":[15,54],"occur":[16],"as":[17,88],"a":[18,23,66,195],"subset":[19],"of":[20,26,124,159,206],"at":[21],"least":[22],"specified":[24,131],"fraction":[25],"transactions.":[28],"The":[29,180],"existing":[30,200],"algorithms":[31,201],"cannot":[32],"compute":[33,75],"frequent":[34,69,77,140],"on":[36,46,60,80,114,142,185],"massive":[37,61,81],"data":[38,52,97,189],"efficiently,":[39],"since":[40],"they":[41],"either":[42],"require":[43],"multiple-pass":[44],"scans":[45],"table":[48,87,94,103,117,144],"or":[49],"construct":[50],"complex":[51],"structures":[53],"normally":[55],"exceed":[56],"available":[58],"memory":[59],"data.":[62,82,107],"This":[63],"paper":[64],"proposes":[65],"novel":[67],"precomputation-based":[68],"(PFIM)":[72],"algorithm":[73],"quickly":[79,136],"PFIM":[83,108,134,193],"treats":[84],"two":[89,204],"parts:":[90],"large":[92],"old":[93,116],"storing":[95,104],"historical":[96],"and":[98,187,202],"relatively":[100],"small":[101],"new":[102],"newly":[105],"generated":[106],"first":[109],"pre-constructs":[110],"quasi-frequent":[112,148,173],"whose":[118],"supports":[119],"are":[120,153,178],"above":[121],"lower-bound":[123],"practical":[126],"support":[127,132],"level.":[128],"Given":[129],"threshold,":[133],"can":[135],"required":[139],"by":[145],"utilizing":[146],"itemsets.":[149],"Three":[150],"pruning":[151],"rules":[152],"presented":[154],"reduce":[156],"size":[158],"involved":[161],"candidates.":[162],"An":[163],"incremental":[164],"update":[165],"strategy":[166],"devised":[168],"efficiently":[170],"re-construct":[171],"when":[175],"tables":[177],"merged.":[179],"extensive":[181],"experimental":[182],"results,":[183],"conducted":[184],"synthetic":[186],"real-life":[188],"sets,":[190],"show":[191],"that":[192],"has":[194],"significant":[196],"advantage":[197],"over":[198],"runs":[203],"orders":[205],"magnitude":[207],"faster":[208],"than":[209],"latest":[211],"algorithm.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}