{"id":"https://openalex.org/W3120576909","doi":"https://doi.org/10.1145/3425498","title":"Beyond Frequency","display_name":"Beyond Frequency","publication_year":2021,"publication_date":"2021-01-05","ids":{"openalex":"https://openalex.org/W3120576909","doi":"https://doi.org/10.1145/3425498","mag":"3120576909"},"language":"en","primary_location":{"id":"doi:10.1145/3425498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3425498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3425498","source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"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 Internet Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3425498","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000962921","display_name":"Wensheng Gan","orcid":"https://orcid.org/0000-0002-5781-8116"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wensheng Gan","raw_affiliation_strings":["Jinan University, China"],"affiliations":[{"raw_affiliation_string":"Jinan University, China","institution_ids":["https://openalex.org/I159948400"]}]},{"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, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038682039","display_name":"Philippe Fournier\u2010Viger","orcid":"https://orcid.org/0000-0002-7680-9899"},"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":"Philippe Fournier-Viger","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen), China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102824651","display_name":"Han\u2010Chieh Chao","orcid":"https://orcid.org/0000-0003-3222-1708"},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Han-Chieh Chao","raw_affiliation_strings":["National Dong Hwa University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Dong Hwa University, Taiwan","institution_ids":["https://openalex.org/I33096239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000962921"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":1.992,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88463242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"32"},"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":0.9969000220298767,"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":0.9814000129699707,"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":0.9200188517570496},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6425884366035461},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5498757362365723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5186330676078796},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4923938512802124},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4291197955608368},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.136459082365036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9200188517570496},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6425884366035461},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5498757362365723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5186330676078796},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4923938512802124},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4291197955608368},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.136459082365036},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3425498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3425498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3425498","source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"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 Internet Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3425498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3425498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3425498","source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"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 Internet Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1849341056","display_name":null,"funder_award_id":"III-1763325, III-1909323, and SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2142201510","display_name":"III: Small: Exploiting the Massive User Generated Utterances for Intent Mining under Scarce Annotations","funder_award_id":"1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3118254216","display_name":"III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation","funder_award_id":"1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4324503165","display_name":null,"funder_award_id":"200213","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","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/G7633400475","display_name":null,"funder_award_id":"III-1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7817793019","display_name":null,"funder_award_id":"III-1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G883900857","display_name":null,"funder_award_id":"SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8904899382","display_name":null,"funder_award_id":"62002136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G979281235","display_name":"SaTC: CORE: Small: Collaborative: Learning Dynamic and Robust Defenses Against Co-Adaptive Spammers","funder_award_id":"1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3120576909.pdf","grobid_xml":"https://content.openalex.org/works/W3120576909.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W196065500","https://openalex.org/W1484413656","https://openalex.org/W1510033442","https://openalex.org/W1515087027","https://openalex.org/W1602215006","https://openalex.org/W1641039719","https://openalex.org/W1965895350","https://openalex.org/W1967379043","https://openalex.org/W1968259950","https://openalex.org/W1968940768","https://openalex.org/W2000106226","https://openalex.org/W2003073717","https://openalex.org/W2003206731","https://openalex.org/W2044306058","https://openalex.org/W2045016939","https://openalex.org/W2048528401","https://openalex.org/W2049785083","https://openalex.org/W2053309697","https://openalex.org/W2059464296","https://openalex.org/W2067403986","https://openalex.org/W2068346543","https://openalex.org/W2076395601","https://openalex.org/W2094830079","https://openalex.org/W2099398039","https://openalex.org/W2102297485","https://openalex.org/W2115482638","https://openalex.org/W2121536640","https://openalex.org/W2125352627","https://openalex.org/W2143428105","https://openalex.org/W2144309138","https://openalex.org/W2146712929","https://openalex.org/W2151028259","https://openalex.org/W2151201497","https://openalex.org/W2153028052","https://openalex.org/W2157169143","https://openalex.org/W2161637667","https://openalex.org/W2164173709","https://openalex.org/W2166559705","https://openalex.org/W2171513952","https://openalex.org/W2183819092","https://openalex.org/W2227296972","https://openalex.org/W2229420030","https://openalex.org/W2251030740","https://openalex.org/W2288489242","https://openalex.org/W2288772698","https://openalex.org/W2481305591","https://openalex.org/W2508886577","https://openalex.org/W2522192076","https://openalex.org/W2587325413","https://openalex.org/W2593237442","https://openalex.org/W2604029285","https://openalex.org/W2612937853","https://openalex.org/W2736317519","https://openalex.org/W2783483776","https://openalex.org/W2783672779","https://openalex.org/W2805697508","https://openalex.org/W2900897168","https://openalex.org/W2907464021","https://openalex.org/W2913208025","https://openalex.org/W2913593077","https://openalex.org/W2937863287","https://openalex.org/W2973857687","https://openalex.org/W2998574808","https://openalex.org/W3102927519","https://openalex.org/W4232571606"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2373300491","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W2378744544","https://openalex.org/W2295196644","https://openalex.org/W4285312748","https://openalex.org/W3151146928","https://openalex.org/W2157743338","https://openalex.org/W3203767529"],"abstract_inverted_index":{"Consumer":[0],"behavior":[1,16],"plays":[2],"a":[3,46,62,149],"very":[4],"important":[5],"role":[6],"in":[7,77,168,212,243],"economics":[8],"and":[9,24,40,156,160,183,194,215,235,249],"targeted":[10],"marketing.":[11],"However,":[12],"understanding":[13,50],"economic":[14,51],"consumer":[15,52],"is":[17,45,101,113,134],"quite":[18],"challenging,":[19],"such":[20],"as":[21],"finding":[22],"credible":[23],"reliable":[25],"information":[26],"on":[27],"product":[28],"profitability.":[29],"Different":[30],"from":[31],"frequent":[32],"pattern":[33,129],"mining,":[34],"utility-oriented":[35,128],"mining":[36,44,57,130,137],"integrates":[37],"utility":[38,65,152],"theory":[39],"data":[41],"mining.":[42],"Utility":[43],"useful":[47],"tool":[48],"for":[49,56,136],"behavior.":[53],"Traditional":[54],"algorithms":[55,242,254],"high-utility":[58],"patterns":[59,105,119],"(HUPs)":[60],"applies":[61],"single/uniform":[63],"minimum":[64,142],"threshold":[66],"(":[67],"minutil":[68,100,108,112],")":[69],"to":[70,178,204],"obtain":[71],"the":[72,104,116,157,161,174,180,191,206,218,222,229,240,252,256],"set":[73,102,114],"of":[74,118,245],"HUPs,":[75],"but":[76,91],"some":[78,81,96],"real-life":[79],"circumstances,":[80],"specific":[82],"products":[83],"may":[84,94],"bring":[85],"lower":[86],"utilities":[87],"compared":[88],"with":[89,106,139],"others,":[90],"their":[92],"profit":[93],"offer":[95],"vital":[97],"information.":[98],"If":[99],"high,":[103],"low":[107],"are":[109,166,201],"missed;":[110],"if":[111],"low,":[115],"number":[117],"becomes":[120],"unmanageable.":[121],"In":[122,170],"this":[123,185],"article,":[124],"an":[125],"efficient":[126],"one-phase":[127,186,224],"algorithm,":[131],"called":[132,148],"HIMU,":[133],"proposed":[135],"HUPs":[138],"varied":[140],"item-specific":[141],"utility.":[143],"A":[144],"novel":[145],"tree":[146,154],"structure":[147,177],"multiple":[150],"item":[151,232],"set-enumeration":[153],"(MIU-tree)":[155],"global":[158],"sorted":[159],"conditional":[162],"downward":[163],"closure":[164],"properties":[165],"introduced":[167],"HIMU.":[169],"addition,":[171],"we":[172],"extended":[173,203],"compact":[175],"utility-list":[176],"keep":[179],"necessary":[181],"information,":[182],"thus":[184],"HIMU":[187,225,258],"model":[188],"greatly":[189],"reduces":[190],"computational":[192],"costs":[193],"memory":[195,247],"requirements.":[196],"Moreover,":[197],"two":[198],"pruning":[199],"strategies":[200],"then":[202],"enhance":[205],"performance.":[207],"We":[208],"conducted":[209],"extensive":[210],"experiments":[211],"several":[213],"synthetic":[214],"real-world":[216],"datasets;":[217],"results":[219],"indicate":[220],"that":[221],"designed":[223],"algorithm":[226],"can":[227],"address":[228],"\u201c":[230],"rare":[231],"problem":[233],"\u201d":[234],"has":[236],"better":[237],"performance":[238],"than":[239],"state-of-the-art":[241],"terms":[244],"runtime,":[246],"usage,":[248],"scalability.":[250],"Furthermore,":[251],"enhanced":[253],"outperform":[255],"non-optimized":[257],"approach.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2021-01-18T00:00:00"}
