{"id":"https://openalex.org/W3003236177","doi":"https://doi.org/10.1145/3363571","title":"High-Utility Itemset Mining with Effective Pruning Strategies","display_name":"High-Utility Itemset Mining with Effective Pruning Strategies","publication_year":2019,"publication_date":"2019-11-11","ids":{"openalex":"https://openalex.org/W3003236177","doi":"https://doi.org/10.1145/3363571","mag":"3003236177"},"language":"en","primary_location":{"id":"doi:10.1145/3363571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3363571","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5071914288","display_name":"Jimmy Ming\u2010Tai Wu","orcid":"https://orcid.org/0000-0003-3740-2102"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jimmy Ming-Tai Wu","raw_affiliation_strings":["Shandong University of Science and Technology, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences, Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083962363","display_name":"Ashish Kumar Tamrakar","orcid":"https://orcid.org/0000-0003-4666-741X"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Tamrakar","raw_affiliation_strings":["University of Nevada, Las Vegas, NV"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas, NV","institution_ids":["https://openalex.org/I133999245"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071914288"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":24.6123,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.99488385,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"13","issue":"6","first_page":"1","last_page":"22"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9843999743461609,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9757000207901001,"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/pruning","display_name":"Pruning","score":0.7879576683044434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.787821352481842},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6704999804496765},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6701977849006653},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5518414378166199},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.521992564201355},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.4175231158733368},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.41456136107444763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3440118134021759},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2497614324092865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19679483771324158}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7879576683044434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787821352481842},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6704999804496765},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6701977849006653},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5518414378166199},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.521992564201355},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.4175231158733368},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.41456136107444763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3440118134021759},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2497614324092865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19679483771324158},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3363571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3363571","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1587039015","https://openalex.org/W1603563923","https://openalex.org/W1856796869","https://openalex.org/W1983595396","https://openalex.org/W2041650550","https://openalex.org/W2045029544","https://openalex.org/W2049785083","https://openalex.org/W2053309697","https://openalex.org/W2059464296","https://openalex.org/W2071242348","https://openalex.org/W2079935819","https://openalex.org/W2094830079","https://openalex.org/W2102580500","https://openalex.org/W2114423174","https://openalex.org/W2125352627","https://openalex.org/W2151028259","https://openalex.org/W2151201497","https://openalex.org/W2153028052","https://openalex.org/W2161637667","https://openalex.org/W2166481266","https://openalex.org/W2188351697","https://openalex.org/W2313140552","https://openalex.org/W2318974702","https://openalex.org/W2360114527","https://openalex.org/W2514829721","https://openalex.org/W2580448867","https://openalex.org/W2594388115","https://openalex.org/W2596993382","https://openalex.org/W2604029285","https://openalex.org/W2736317519","https://openalex.org/W2773435160","https://openalex.org/W2777804614","https://openalex.org/W2783483776","https://openalex.org/W2899407706","https://openalex.org/W2997016033","https://openalex.org/W4252403066"],"related_works":["https://openalex.org/W3036124657","https://openalex.org/W2155763376","https://openalex.org/W1644817283","https://openalex.org/W2358897243","https://openalex.org/W2020967122","https://openalex.org/W2062772856","https://openalex.org/W2024635070","https://openalex.org/W2397043421","https://openalex.org/W1554957648","https://openalex.org/W2405566691"],"abstract_inverted_index":{"High-utility":[0],"itemset":[1],"mining":[2,7,164,203],"is":[3,57,88,232],"a":[4,53,65,229],"popular":[5],"data":[6],"problem":[8,239],"that":[9,38,79,190],"considers":[10],"utility":[11],"factors,":[12],"such":[13],"as":[14],"quantity":[15],"and":[16,35,63,162,211],"unit":[17],"profit":[18],"of":[19,98,111,147,154,166,209,213,219,240],"items":[20],"besides":[21],"frequency":[22],"measure":[23],"from":[24,143],"the":[25,32,46,60,92,96,109,115,120,124,138,151,155,163,167,180,191,199,204,220,225,238],"transactional":[26,61],"database.":[27],"It":[28],"helps":[29],"to":[30,41,74,107,136,235],"find":[31,75],"most":[33],"valuable":[34],"profitable":[36],"products/items":[37],"are":[39,70,134],"difficult":[40],"track":[42],"by":[43,123,141],"using":[44],"only":[45],"frequent":[47],"itemsets.":[48],"An":[49],"item":[50],"might":[51],"have":[52],"high-profit":[54],"value":[55],"which":[56,118],"rare":[58],"in":[59,114,207],"database":[62,182],"has":[64],"tremendous":[66],"importance.":[67],"While":[68],"there":[69],"many":[71],"existing":[72],"algorithms":[73,201],"high-utility":[76],"itemsets":[77],"(HUIs)":[78],"generate":[80],"comparatively":[81],"large":[82],"candidate":[83],"sets,":[84],"our":[85],"main":[86],"focus":[87],"on":[89,184],"significantly":[90,178],"reducing":[91],"computation":[93,139],"time":[94,121,140,169],"with":[95,194],"introduction":[97],"new":[99,130],"pruning":[100,104,196],"strategies.":[101],"The":[102,173,216],"designed":[103,135,192,221],"strategies":[105,175,197],"help":[106],"reduce":[108,137],"visitation":[110],"unnecessary":[112,145],"nodes":[113,146],"search":[116,152],"space,":[117],"reduces":[119],"required":[122,205],"algorithm.":[125],"In":[126],"this":[127],"article,":[128],"two":[129,195],"stricter":[131],"upper":[132],"bounds":[133],"refraining":[142],"visiting":[144],"an":[148],"itemset.":[149],"Thus,":[150],"space":[153],"potential":[156],"HUIs":[157,206],"can":[158,170,176],"be":[159,171],"greatly":[160],"reduced,":[161],"procedure":[165],"execution":[168],"improved.":[172],"proposed":[174],"also":[177,223,233],"minimize":[179],"transaction":[181],"generated":[183],"each":[185],"node.":[186],"Experimental":[187],"results":[188],"showed":[189],"algorithm":[193,222],"outperform":[198],"state-of-the-art":[200,226],"for":[202],"terms":[208],"runtime":[210],"number":[212],"revised":[214],"candidates.":[215],"memory":[217],"usage":[218],"outperforms":[224],"approach.":[227],"Moreover,":[228],"multi-thread":[230],"concept":[231],"discussed":[234],"further":[236],"handle":[237],"big":[241],"datasets.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":41},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
