{"id":"https://openalex.org/W2293450524","doi":"https://doi.org/10.5220/0005498601010110","title":"Determining Top-K Candidates by Reverse Constrained Skyline Queries","display_name":"Determining Top-K Candidates by Reverse Constrained Skyline Queries","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2293450524","doi":"https://doi.org/10.5220/0005498601010110","mag":"2293450524"},"language":"en","primary_location":{"id":"doi:10.5220/0005498601010110","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005498601010110","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 4th International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005498601010110","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023475478","display_name":"Ruei Sian Jheng","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ruei Sian Jheng","raw_affiliation_strings":["National Tsing-Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112053407","display_name":"En Tzu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"En Tzu Wang","raw_affiliation_strings":["Industrial Technology Research Institute, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082498558","display_name":"Arbee L. P. Chen","orcid":"https://orcid.org/0000-0003-2872-4484"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Arbee L. P. Chen","raw_affiliation_strings":["National Chengchi University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chengchi University, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023475478"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.2872,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59235075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9951000213623047,"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":0.9951000213623047,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9545000195503235,"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/skyline","display_name":"Skyline","score":0.9834295511245728},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7583919763565063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299888134002686},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6719868183135986},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6476887464523315},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5500024557113647},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5114821195602417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5091435313224792},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43530505895614624},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4335685074329376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28091564774513245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24514079093933105},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1304967701435089},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1253414750099182}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9834295511245728},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7583919763565063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299888134002686},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6719868183135986},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6476887464523315},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5500024557113647},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5114821195602417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5091435313224792},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43530505895614624},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4335685074329376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28091564774513245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24514079093933105},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1304967701435089},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1253414750099182},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005498601010110","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005498601010110","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 4th International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005498601010110","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005498601010110","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 4th International Conference on Data Management Technologies and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1994126304","https://openalex.org/W2087306197","https://openalex.org/W1973297295","https://openalex.org/W2316530548","https://openalex.org/W2505069962","https://openalex.org/W3096764880","https://openalex.org/W2039842051","https://openalex.org/W2214117870","https://openalex.org/W4285312748","https://openalex.org/W3203767529"],"abstract_inverted_index":{"Given":[0,52],"a":[1,31,48,59,86,110,128,173],"set":[2,87],"of":[3,55,88,109,118,163],"criteria,":[4,89],"an":[5,145],"object":[6,13,39],"o":[7,16],"is":[8,17,113,125,187],"defined":[9,114],"to":[10,95,122,158,167],"dominate":[11],"another":[12],"o'":[14,21],"if":[15],"no":[18],"worse":[19],"than":[20,127],"in":[22,28,58,63,73],"each\r\n\r\ncriterion":[23],"and":[24,66,78,132,153,189],"has":[25,81],"better":[26],"outcomes":[27],"at":[29],"least":[30],"specific":[32],"criterion.":[33],"A":[34,161],"skyline":[35,139],"query":[36],"returns":[37],"each":[38,76],"that":[40,101,183],"is\r\n\r\nnot":[41],"dominated":[42],"by":[43],"any":[44],"other":[45],"objects.":[46],"Consider":[47],"scenario":[49],"as":[50,115,137],"follows.":[51],"three":[53],"types":[54],"datasets,":[56],"including\r\n\r\nresidents":[57],"city,":[60,65],"existing":[61],"restaurants":[62,72],"the":[64,97,103,116,150,169,176,184,190],"candidate":[67,79,99,111,124,136],"places":[68,100],"for":[69],"opening":[70],"new":[71],"the\r\n\r\ncity,":[74],"where":[75],"restaurant":[77],"place":[80,112],"its":[82],"respective":[83],"rank":[84],"on":[85,149],"e.g.,":[90],"convenience\r\n\r\nof":[91],"parking,":[92],"we":[93],"want":[94],"find":[96],"top-k":[98],"have":[102],"most":[104],"potential":[105],"customers.":[106],"The":[107,179],"potential\r\n\r\ncustomers":[108],"number":[117],"residents":[119],"whose":[120],"distance":[121,130],"this":[123,135,142],"no\r\n\r\nlarger":[126],"given":[129],"r":[131],"also":[133],"regard":[134],"their":[138],"restaurants.":[140],"In":[141],"paper,":[143],"we\r\n\r\npropose":[144],"efficient":[146],"method":[147,171,186],"based":[148],"quad-tree":[151],"index":[152],"use":[154],"four":[155],"pruning":[156,191],"strategies":[157,192],"solve":[159],"this\r\n\r\nproblem.":[160],"series":[162],"experiments":[164],"are":[165],"performed":[166],"compare":[168],"proposed":[170,185],"with":[172],"straightforward\r\n\r\nmethod":[174],"using":[175],"R-tree":[177],"index.":[178],"experiment":[180],"results":[181],"demonstrate":[182],"very\r\n\r\nefficient,":[188],"very":[193],"powerful.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}