{"id":"https://openalex.org/W4391575372","doi":"https://doi.org/10.1007/s41019-024-00241-2","title":"Efficient Top-k Frequent Itemset Mining on Massive Data","display_name":"Efficient Top-k Frequent Itemset Mining on Massive Data","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391575372","doi":"https://doi.org/10.1007/s41019-024-00241-2"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-024-00241-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00241-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00241-2.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00241-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085267247","display_name":"Xiaolong Wan","orcid":"https://orcid.org/0000-0003-4502-085X"},"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":"Xiaolong Wan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","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":false,"raw_author_name":"Xixian Han","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085267247"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":12.8464,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98563829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"9","issue":"2","first_page":"177","last_page":"203"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9955999851226807,"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":0.9904000163078308,"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":0.8251715898513794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5005950927734375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32177627086639404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8251715898513794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5005950927734375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32177627086639404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-024-00241-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00241-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00241-2.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5727c5585d6148b08acd92448903c086","is_oa":true,"landing_page_url":"https://doaj.org/article/5727c5585d6148b08acd92448903c086","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 9, Iss 2, Pp 177-203 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-024-00241-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00241-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00241-2.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1083341597","display_name":null,"funder_award_id":"U21A20513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7692338205","display_name":null,"funder_award_id":"ZR2023QF059","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8565926968","display_name":null,"funder_award_id":"U21A2051","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391575372.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W188370263","https://openalex.org/W841472321","https://openalex.org/W1537336823","https://openalex.org/W1556242451","https://openalex.org/W1570170793","https://openalex.org/W1764902476","https://openalex.org/W1992119405","https://openalex.org/W1999848435","https://openalex.org/W2000846246","https://openalex.org/W2001350744","https://openalex.org/W2003209042","https://openalex.org/W2048117100","https://openalex.org/W2056910091","https://openalex.org/W2059837064","https://openalex.org/W2074418712","https://openalex.org/W2080632942","https://openalex.org/W2099404336","https://openalex.org/W2107005225","https://openalex.org/W2108419107","https://openalex.org/W2110893883","https://openalex.org/W2115482638","https://openalex.org/W2125231721","https://openalex.org/W2129836922","https://openalex.org/W2137012502","https://openalex.org/W2151953639","https://openalex.org/W2159257592","https://openalex.org/W2161291627","https://openalex.org/W2163257064","https://openalex.org/W2166064672","https://openalex.org/W2166559705","https://openalex.org/W2167087513","https://openalex.org/W2202504319","https://openalex.org/W2256820277","https://openalex.org/W2507635762","https://openalex.org/W2535481428","https://openalex.org/W2564666952","https://openalex.org/W2608853168","https://openalex.org/W2748831951","https://openalex.org/W2790530433","https://openalex.org/W2886707573","https://openalex.org/W2918543115","https://openalex.org/W2961234535","https://openalex.org/W2979517978","https://openalex.org/W3007471142","https://openalex.org/W3015842068","https://openalex.org/W3037126109","https://openalex.org/W3118141345","https://openalex.org/W4229058049","https://openalex.org/W4230765542","https://openalex.org/W4231829107","https://openalex.org/W4248966671","https://openalex.org/W4289551732"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Abstract":[0],"Top-":[1],"k":[2,7,20,37,80,109],"frequent":[3,81,110],"itemset":[4],"mining":[5,113],"(top-":[6],"FIM)":[8],"plays":[9],"an":[10],"important":[11],"role":[12],"in":[13,34,137],"many":[14],"practical":[15],"applications.":[16],"It":[17],"reports":[18],"the":[19,23,28,41,46,60,89,92,101,118,124,133,138,141,157,162,166,169,201],"itemsets":[21,82],"with":[22,123,200],"highest":[24],"supports.":[25],"Rather":[26],"than":[27],"subtle":[29],"minimum":[30],"support":[31],"threshold":[32],"specified":[33],"FIM,":[35],"top-":[36,79,108],"FIM":[38],"only":[39,128],"needs":[40],"more":[42],"understandable":[43],"parameter":[44],"of":[45,57,100,120,132,140,168],"result":[47],"number.":[48],"The":[49,172],"existing":[50],"algorithms":[51],"require":[52],"at":[53],"least":[54],"two":[55],"passes":[56],"scan":[58],"on":[59,67,178],"table,":[61],"and":[62,127,161,190],"incur":[63],"high":[64],"execution":[65,149],"cost":[66,150,198],"massive":[68,179],"data.":[69],"This":[70],"paper":[71],"develops":[72],"a":[73,129],"prefix-partitioning-based":[74],"PTF":[75,96,181],"algorithm":[76],"to":[77,116,147,185,193],"mine":[78],"efficiently,":[83],"where":[84],"each":[85],"prefix-based":[86,158],"partition":[87],"keeps":[88],"transactions":[90],"sharing":[91],"same":[93],"prefix":[94],"item.":[95],"can":[97,182],"skip":[98],"most":[99],"partitions":[102,119,159],"directly":[103],"which":[104],"cannot":[105],"generate":[106],"any":[107],"itemsets.":[111],"Vertical":[112],"is":[114],"developed":[115],"process":[117],"vertical":[121,153],"representation":[122],"high-support-first":[125],"principle,":[126],"small":[130],"fraction":[131],"items":[134],"are":[135,145],"involved":[136],"processing":[139],"partitions.":[142],"Two":[143],"improvements":[144],"proposed":[146],"reduce":[148],"further.":[151],"Hybrid":[152],"storage":[154],"mode":[155],"maintains":[156],"adaptively":[160],"candidate":[163],"pruning":[164],"reduces":[165],"number":[167],"explored":[170],"candidates.":[171],"extensive":[173],"experimental":[174],"results":[175],"show":[176],"that,":[177],"data,":[180],"achieve":[183],"up":[184,192],"1348.53":[186],"times":[187,195],"speedup":[188],"ratio":[189],"involve":[191],"355.31":[194],"less":[196],"I/O":[197],"compared":[199],"state-of-the-art":[202],"algorithms.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
