{"id":"https://openalex.org/W4386096278","doi":"https://doi.org/10.1145/3617378","title":"A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates","display_name":"A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386096278","doi":"https://doi.org/10.1145/3617378"},"language":"en","primary_location":{"id":"doi:10.1145/3617378","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3617378","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/A5100669732","display_name":"Lizhen Wang","orcid":"https://orcid.org/0000-0003-2214-2299"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lizhen Wang","raw_affiliation_strings":["Dianchi College of Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Dianchi College of Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077540441","display_name":"Vanha Tran","orcid":"https://orcid.org/0000-0003-2714-6707"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Vanha Tran","raw_affiliation_strings":["FPT University, Vietnam"],"affiliations":[{"raw_affiliation_string":"FPT University, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051369379","display_name":"Thanh-Cong Do","orcid":"https://orcid.org/0009-0002-5781-6708"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanhcong Do","raw_affiliation_strings":["FPT University, Vietnam"],"affiliations":[{"raw_affiliation_string":"FPT University, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100669732"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.9739,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75567233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"18","issue":"1","first_page":"1","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9973000288009644,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7885532379150391},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.7790831327438354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6886172890663147},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6379729509353638},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48398733139038086},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.48382750153541565},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4769279360771179},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.42027658224105835},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4155256748199463},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.4126836359500885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15087229013442993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1230204701423645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885532379150391},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.7790831327438354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6886172890663147},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6379729509353638},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48398733139038086},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.48382750153541565},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4769279360771179},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.42027658224105835},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4155256748199463},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.4126836359500885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15087229013442993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1230204701423645},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3617378","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3617378","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":[{"id":"https://openalex.org/G1631702679","display_name":null,"funder_award_id":"61966036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2037669490","display_name":null,"funder_award_id":"62276227, 61966036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G2319307816","display_name":null,"funder_award_id":"62276227","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/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/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","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/G7142876994","display_name":null,"funder_award_id":"6196603","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1737158080","https://openalex.org/W1921428968","https://openalex.org/W2004359385","https://openalex.org/W2082276182","https://openalex.org/W2098268836","https://openalex.org/W2101484267","https://openalex.org/W2105425696","https://openalex.org/W2107990165","https://openalex.org/W2126194848","https://openalex.org/W2129501055","https://openalex.org/W2134367288","https://openalex.org/W2136171062","https://openalex.org/W2171898708","https://openalex.org/W2248228299","https://openalex.org/W2468789976","https://openalex.org/W2599361181","https://openalex.org/W2623481471","https://openalex.org/W2736249605","https://openalex.org/W2750037802","https://openalex.org/W2762034449","https://openalex.org/W2763111993","https://openalex.org/W2766887464","https://openalex.org/W2783672779","https://openalex.org/W2794435965","https://openalex.org/W2798667295","https://openalex.org/W2808096899","https://openalex.org/W2889051001","https://openalex.org/W2890279180","https://openalex.org/W2890532424","https://openalex.org/W2912606856","https://openalex.org/W2912861773","https://openalex.org/W2913023635","https://openalex.org/W2925324114","https://openalex.org/W2926748974","https://openalex.org/W2937111329","https://openalex.org/W2951676852","https://openalex.org/W2963214893","https://openalex.org/W2967658526","https://openalex.org/W2969819904","https://openalex.org/W3003236177","https://openalex.org/W3023391139","https://openalex.org/W3036805285","https://openalex.org/W3039970146","https://openalex.org/W3043581150","https://openalex.org/W3135474149","https://openalex.org/W3165149972","https://openalex.org/W3198153609","https://openalex.org/W3213647562","https://openalex.org/W4205853101"],"related_works":["https://openalex.org/W2227807207","https://openalex.org/W2370014100","https://openalex.org/W4287264924","https://openalex.org/W3137108924","https://openalex.org/W1852009617","https://openalex.org/W1979110442","https://openalex.org/W2042819006","https://openalex.org/W2170165007","https://openalex.org/W2156660460","https://openalex.org/W2362866566"],"abstract_inverted_index":{"Groups":[0],"of":[1,25,95,140,173],"spatial":[2,48],"features":[3,35],"whose":[4],"instances":[5,26,33,124,151],"frequently":[6],"appear":[7],"together":[8],"in":[9,30,60,179],"nearby":[10],"areas":[11],"are":[12,153,166,177,192],"regarded":[13],"as":[14],"prevalent":[15],"co-location":[16,57],"patterns":[17,58,142,190],"(PCPs).":[18],"Traditional":[19],"PCP":[20],"mining":[21,96,112,197],"ignores":[22],"the":[23,39,84,89,137,161,174,189,196,204],"significance":[24],"and":[27,34,171,182,195],"features.":[28],"However,":[29],"reality,":[31],"these":[32,129],"have":[36],"different":[37],"significance,":[38],"traditional":[40],"PCPs":[41],"may":[42],"not":[43,87],"sufficiently":[44],"expose":[45],"knowledge":[46],"from":[47],"data.":[49],"This":[50,119],"study":[51],"focuses":[52],"on":[53,148,160],"discovering":[54],"high":[55],"utility":[56,67,77],"(HUCPs)":[59],"which":[61],"each":[62],"instance":[63],"is":[64,81,98,114,199],"assigned":[65],"a":[66,132,157,186],"to":[68,184,203],"reflect":[69],"its":[70],"significance.":[71],"To":[72],"filter":[73],"HUCPs,":[74],"an":[75,109],"adaptive":[76,138],"participation":[78],"index":[79],"(UPI)":[80],"designed.":[82],"Unfortunately,":[83],"UPI":[85,139],"does":[86],"hold":[88],"downward":[90],"closure":[91],"property.":[92],"The":[93,169],"performance":[94,198],"HUCPs":[97,165],"very":[99],"inefficient":[100],"since":[101],"unnecessary":[102],"candidates":[103],"cannot":[104],"be":[105,144],"early":[106],"pruned.":[107],"Thus,":[108],"efficient":[110],"clique-querying":[111],"framework":[113,120],"devised":[115],"without":[116],"generating":[117],"candidates.":[118],"first":[121],"divides":[122],"neighboring":[123],"into":[125,131],"cliques,":[126],"then":[127],"compacts":[128],"cliques":[130],"hash":[133,162],"table":[134],"structure.":[135],"Next,":[136],"any":[141],"can":[143],"quickly":[145],"calculated":[146],"based":[147],"their":[149],"participating":[150],"that":[152,188],"obtained":[154],"by":[155],"executing":[156],"querying":[158],"scheme":[159],"table.":[163],"Finally,":[164],"filtered":[167],"efficiently.":[168],"effectiveness":[170],"efficiency":[172],"proposed":[175],"method":[176],"proved":[178],"both":[180],"theory":[181],"experiments":[183],"make":[185],"promise":[187],"mined":[191],"more":[193],"meaningful":[194],"significantly":[200],"improved":[201],"compared":[202],"previous":[205],"methods.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}