{"id":"https://openalex.org/W4410996929","doi":"https://doi.org/10.1177/1088467x251346483","title":"Discovering worthy spatial co-location patterns based on pattern distributions through clustering","display_name":"Discovering worthy spatial co-location patterns based on pattern distributions through clustering","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4410996929","doi":"https://doi.org/10.1177/1088467x251346483"},"language":"en","primary_location":{"id":"doi:10.1177/1088467x251346483","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1088467x251346483","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","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/A5080696960","display_name":"Xuguang Bao","orcid":"https://orcid.org/0000-0001-9950-0053"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Bao","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0001-9950-0053","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108101151","display_name":"Y.-C. Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Huang","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0009-0002-3084-9008","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107915664","display_name":"S. Yuan","orcid":"https://orcid.org/0009-0007-8151-9451"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaikang Yuan","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0009-0007-8151-9451","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015299890","display_name":"Liang Chang","orcid":"https://orcid.org/0000-0002-7262-4707"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Chang","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-7262-4707","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015299890"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12359323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"2","first_page":"317","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9937999844551086,"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":0.9937999844551086,"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":0.9908000230789185,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.6448010206222534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44827035069465637},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4389578104019165},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4258395731449127},{"id":"https://openalex.org/keywords/co-occurrence","display_name":"Co-occurrence","score":0.4210028648376465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3884383738040924},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3695197105407715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26990553736686707},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1447262167930603}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6448010206222534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44827035069465637},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4389578104019165},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4258395731449127},{"id":"https://openalex.org/C154290570","wikidata":"https://www.wikidata.org/wiki/Q1756768","display_name":"Co-occurrence","level":2,"score":0.4210028648376465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3884383738040924},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3695197105407715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26990553736686707},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1447262167930603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1088467x251346483","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1088467x251346483","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3771204046","display_name":null,"funder_award_id":"No. 2025GXNSFAA069551","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G8847488212","display_name":null,"funder_award_id":"No. 61966009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8872176036","display_name":null,"funder_award_id":"No. U22A2099","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8946224547","display_name":null,"funder_award_id":"No. 62006057","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/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1515526911","https://openalex.org/W1525898800","https://openalex.org/W1921428968","https://openalex.org/W1964570589","https://openalex.org/W2050419399","https://openalex.org/W2100015990","https://openalex.org/W2107990165","https://openalex.org/W2136171062","https://openalex.org/W2171898708","https://openalex.org/W2468789976","https://openalex.org/W2520481607","https://openalex.org/W2585439946","https://openalex.org/W2598972150","https://openalex.org/W2762034449","https://openalex.org/W2782627203","https://openalex.org/W2794803089","https://openalex.org/W2901284887","https://openalex.org/W2912861773","https://openalex.org/W2926748974","https://openalex.org/W2937111329","https://openalex.org/W3000279467","https://openalex.org/W3135759237","https://openalex.org/W3165149972","https://openalex.org/W3204657272","https://openalex.org/W4210521116","https://openalex.org/W4220858864","https://openalex.org/W4220980588","https://openalex.org/W4283384836","https://openalex.org/W4309047520","https://openalex.org/W4310137298","https://openalex.org/W4312883019","https://openalex.org/W4318704867","https://openalex.org/W4385756607","https://openalex.org/W4389782325","https://openalex.org/W4392380502","https://openalex.org/W4392911767","https://openalex.org/W4396768005","https://openalex.org/W4399619479"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W3025157844"],"abstract_inverted_index":{"Spatial":[0],"co-location":[1,29,48,56,70,97,108],"pattern":[2],"mining":[3,28],"aims":[4],"to":[5,13,94,105,128,152],"uncover":[6],"associations":[7],"among":[8],"spatial":[9,18,22],"features,":[10],"enabling":[11],"users":[12],"discover":[14,106],"correlation":[15],"knowledge":[16],"from":[17,72,142],"datasets.":[19],"However,":[20],"as":[21],"datasets":[23,165],"grow,":[24],"traditional":[25],"frameworks":[26],"for":[27],"patterns":[30,71,109],"produce":[31],"an":[32],"overwhelming":[33],"number":[34],"of":[35,54,175],"redundant":[36],"results,":[37],"which":[38,50],"complicates":[39],"further":[40],"analysis.":[41],"This":[42],"paper":[43],"focuses":[44],"on":[45,135,160],"extracting":[46],"worthy":[47,140],"patterns,":[49],"are":[51],"concise":[52],"summaries":[53],"prevalent":[55,96,107],"patterns.":[57,98],"We":[58],"introduce":[59],"two":[60],"similarity":[61,63],"measures\u2014feature-based":[62],"and":[64,75,110,118,133,163,178],"distribution-based":[65],"similarity\u2014to":[66],"evaluate":[67],"redundancy":[68],"between":[69],"both":[73,161],"feature":[74],"instance":[76],"perspectives.":[77],"Using":[78],"these":[79],"measures,":[80],"we":[81,100,124,147],"propose":[82],"a":[83,102,149],"novel":[84],"approach":[85],"called":[86],"the":[87,126,130,139,143],"Worthy":[88,154],"Co-location":[89,115,120,156],"Patterns":[90,116,121,157],"Mining":[91],"algorithm":[92,151],"(WCPM)":[93],"condense":[95],"Initially,":[99],"employ":[101],"clique-based":[103],"method":[104],"categorize":[111],"them":[112],"into":[113],"Maximal":[114],"(MCPs)":[117],"Non-Maximal":[119,155],"(NMCPs).":[122],"Subsequently,":[123],"cluster":[125],"MCPs":[127,141],"extract":[129],"feature-similar":[131],"MCPs,":[132],"based":[134],"distribution":[136],"similarity,":[137],"identify":[138],"clustering":[144],"results.":[145],"Finally,":[146],"design":[148],"top-down":[150],"mine":[153],"(WNMCPs).":[158],"Experiments":[159],"synthetic":[162],"real":[164],"demonstrate":[166],"that":[167],"WCPM":[168],"outperforms":[169],"similar":[170],"state-of-the-art":[171],"approaches":[172],"in":[173],"terms":[174],"compression":[176],"power":[177],"running":[179],"time.":[180]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}