{"id":"https://openalex.org/W4404914568","doi":"https://doi.org/10.1109/tkde.2024.3510100","title":"MC2LS: Towards Efficient Collective Location Selection in Competition","display_name":"MC2LS: Towards Efficient Collective Location Selection in Competition","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404914568","doi":"https://doi.org/10.1109/tkde.2024.3510100"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3510100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3510100","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5100377097","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0001-6699-6902"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6699-6902","affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mengfei Zhao","orcid":"https://orcid.org/0009-0000-8281-0426"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengfei Zhao","raw_affiliation_strings":["School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0000-8281-0426","affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423964","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-2382-6289"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","School of Computer Science and Technology, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2382-6289","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048420839","display_name":"Jiangtao Cui","orcid":"https://orcid.org/0000-0001-5569-0780"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Cui","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","School of Computer Science and Technology, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-5569-0780","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021610428","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-6200-8727"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6200-8727","affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tao Xue","orcid":"https://orcid.org/0000-0002-1509-9344"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xue","raw_affiliation_strings":["School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-1509-9344","affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"School of Computer Science &amp; The Shaanxi Key Laboratory of Clothing Intelligence, Xi&#x0027;an Polytechnic University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I27599042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22677444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"2","first_page":"766","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9419000148773193,"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":0.9419000148773193,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9333000183105469,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9168000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343460083007812},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6330775618553162},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5767053961753845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23923718929290771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343460083007812},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6330775618553162},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5767053961753845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23923718929290771},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3510100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3510100","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2837272379","display_name":null,"funder_award_id":"62372352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4970255172","display_name":null,"funder_award_id":"62272369","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":38,"referenced_works":["https://openalex.org/W320604302","https://openalex.org/W1974757757","https://openalex.org/W1978390846","https://openalex.org/W1982178888","https://openalex.org/W2008196645","https://openalex.org/W2009779426","https://openalex.org/W2030883263","https://openalex.org/W2038839332","https://openalex.org/W2057435411","https://openalex.org/W2118269922","https://openalex.org/W2120652260","https://openalex.org/W2434662852","https://openalex.org/W2625104058","https://openalex.org/W2735215129","https://openalex.org/W2738161106","https://openalex.org/W2775511139","https://openalex.org/W2775721008","https://openalex.org/W2786835571","https://openalex.org/W2796332901","https://openalex.org/W2798903611","https://openalex.org/W2801864142","https://openalex.org/W2910171316","https://openalex.org/W2949380784","https://openalex.org/W2968109206","https://openalex.org/W3026147288","https://openalex.org/W3035937838","https://openalex.org/W3058390340","https://openalex.org/W3088669211","https://openalex.org/W3120587754","https://openalex.org/W3126650620","https://openalex.org/W3134116700","https://openalex.org/W3166441787","https://openalex.org/W3175742262","https://openalex.org/W3199331975","https://openalex.org/W4293211556","https://openalex.org/W4323662816","https://openalex.org/W4385270546","https://openalex.org/W6839203581"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Collective":[0],"Location":[1],"Selection":[2],"(CLS)":[3],"has":[4],"received":[5],"significant":[6],"research":[7],"attention":[8],"in":[9,54,66,98],"the":[10,41,60,91,110,129,162,168,192,206,217],"spatial":[11],"database":[12],"community":[13],"due":[14,123],"to":[15,34,74,124,160,178,189,216],"its":[16,125],"wide":[17],"range":[18],"of":[19,27,44,79,131,167,208],"applications.":[20],"The":[21],"CLS":[22,96],"problem":[23,97],"selects":[24],"a":[25,55,77,95,120,144,157,186],"group":[26],"<i>k</i>":[28],"preferred":[29],"locations":[30],"among":[31],"candidate":[32],"sites":[33],"establish":[35],"facilities,":[36],"aimed":[37],"at":[38],"collectively":[39],"attracting":[40],"maximum":[42],"number":[43],"users.":[45],"Existing":[46],"studies":[47],"commonly":[48],"assume":[49],"every":[50],"user":[51],"is":[52,119],"located":[53],"fixed":[56],"position,":[57],"without":[58],"considering":[59],"competition":[61,99],"between":[62],"peer":[63],"facilities.":[64],"Unfortunately,":[65],"real":[67,203],"markets,":[68],"users":[69,134],"are":[70,200],"mobile":[71],"and":[72,148,164,184,213],"choose":[73],"patronize":[75],"from":[76],"host":[78],"competitors,":[80],"making":[81],"traditional":[82],"techniques":[83],"unavailable.":[84],"To":[85,127],"this":[86,88],"end,":[87],"paper":[89],"presents":[90],"first":[92],"effort":[93],"on":[94,202],"scenarios,":[100],"called":[101],"<small>mc<inline-formula><tex-math":[102,114,179],"notation=\"LaTeX\">$^{2}$</tex-math><alternatives><mml:math":[103,115,180],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math><inline-graphic":[104,116,181],"xlink:href=\"li-ieq3-3510100.gif\"":[105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"/></alternatives></inline-formula>ls</small>,":[106],"taking":[107],"into":[108],"account":[109],"mobility":[111],"factor.":[112],"Solving":[113],"xlink:href=\"li-ieq4-3510100.gif\"":[117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"/></alternatives></inline-formula>ls</small>":[118,183],"non-trivial":[121],"task":[122],"NP-hardness.":[126],"overcome":[128],"challenge":[130],"pruning":[132,152,169,211],"multi-point":[133],"with":[135],"highly":[136],"overlapped":[137],"minimum":[138],"boundary":[139],"rectangles":[140],"(MBRs),":[141],"we":[142],"exploit":[143],"position":[145],"count":[146],"threshold":[147],"design":[149],"two":[150],"square-based":[151],"rules.":[153,170],"We":[154,171],"introduce":[155],"IQuad-tree,":[156],"user-MBR-free":[158],"index,":[159],"benefit":[161],"hierarchical":[163],"batch-wise":[165],"properties":[166],"propose":[172],"an":[173],"<inline-formula><tex-math":[174],"notation=\"LaTeX\">$(1-\\frac{1}{e})$</tex-math></inline-formula>-approximate":[175],"greedy":[176],"solution":[177,214],"xlink:href=\"li-ieq6-3510100.gif\"":[182],"incorporate":[185],"candidate-pruning":[187],"strategy":[188],"further":[190],"accelerate":[191],"computation":[193],"for":[194],"handling":[195],"skewed":[196],"datasets.":[197],"Extensive":[198],"experiments":[199],"conducted":[201],"datasets,":[204],"demonstrating":[205],"superiority":[207],"our":[209],"proposed":[210],"rules":[212],"compared":[215],"state-of-the-art":[218],"techniques.":[219]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2024-12-03T00:00:00"}
