{"id":"https://openalex.org/W1998952728","doi":"https://doi.org/10.1109/icde.2014.6816699","title":"Geometry approach for k-regret query","display_name":"Geometry approach for k-regret query","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W1998952728","doi":"https://doi.org/10.1109/icde.2014.6816699","mag":"1998952728"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2014.6816699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-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/A5021795473","display_name":"Peng Peng","orcid":"https://orcid.org/0000-0002-7801-2285"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peng Peng","raw_affiliation_strings":["The Hong Kong University of Science and Technology","The Hong Kong University of Science and Technology,  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology,  China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049858061","display_name":"Raymond Chi-Wing Wong","orcid":"https://orcid.org/0000-0001-7045-6503"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Raymond Chi-Wing Wong","raw_affiliation_strings":["The Hong Kong University of Science and Technology","The Hong Kong University of Science and Technology,  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology,  China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.7379,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.84488391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"772","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9887999892234802,"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"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/skyline","display_name":"Skyline","score":0.9208855628967285},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8452365398406982},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.8042441010475159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722257137298584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6382446885108948},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.545437753200531},{"id":"https://openalex.org/keywords/computational-geometry","display_name":"Computational geometry","score":0.4127384126186371},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38966992497444153},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38198789954185486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34568357467651367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20406386256217957},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12528592348098755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10960015654563904}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9208855628967285},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8452365398406982},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.8042441010475159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722257137298584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6382446885108948},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.545437753200531},{"id":"https://openalex.org/C29123130","wikidata":"https://www.wikidata.org/wiki/Q874709","display_name":"Computational geometry","level":2,"score":0.4127384126186371},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38966992497444153},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38198789954185486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34568357467651367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20406386256217957},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12528592348098755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10960015654563904},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2014.6816699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-60132","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1084-4627&rft.volume=&rft.issue=&rft.date=2014&rft.spage=772&rft.aulast=Peng&rft.aufirst=&rft.atitle=Geometry%20Approach%20for%20k-Regret%20Query&rft.title=2014%20IEEE%2030th%20International%20Conference%20on%20Data%20Engineering%20(ICDE%202014)","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W655485535","https://openalex.org/W1557347838","https://openalex.org/W1753876184","https://openalex.org/W1993320088","https://openalex.org/W1996760769","https://openalex.org/W1996945116","https://openalex.org/W1999334496","https://openalex.org/W2011130689","https://openalex.org/W2016400774","https://openalex.org/W2067092194","https://openalex.org/W2092181172","https://openalex.org/W2097860522","https://openalex.org/W2104211550","https://openalex.org/W2113295349","https://openalex.org/W2116396741","https://openalex.org/W2116434582","https://openalex.org/W2138271690","https://openalex.org/W2146831356","https://openalex.org/W2153516800","https://openalex.org/W2170188482","https://openalex.org/W6682780847"],"related_works":["https://openalex.org/W2904625095","https://openalex.org/W2030931773","https://openalex.org/W259531752","https://openalex.org/W2967037545","https://openalex.org/W2098338547","https://openalex.org/W2017776027","https://openalex.org/W2163693507","https://openalex.org/W1566588000","https://openalex.org/W2004796840","https://openalex.org/W3111181114"],"abstract_inverted_index":{"Returning":[0],"tuples":[1,40,77],"that":[2,58,168,213],"users":[3,42,45,59],"may":[4],"be":[5,79,158,184],"interested":[6],"in":[7,136,231],"is":[8,141,166,174],"one":[9,251],"of":[10,34,39,76,97,121,171,179,199,252],"the":[11,74,95,98,110,128,137,161,169,177,205,220,237,262],"most":[12],"important":[13],"goals":[14],"for":[15,109,127,160],"multi-criteria":[16],"decision":[17],"making.":[18],"Top-k":[19],"queries":[20,23],"and":[21,144,226,261],"skyline":[22,53],"are":[24],"two":[25,99,195],"representative":[26,100],"queries.":[27,101],"A":[28,52],"top-k":[29],"query":[30,54,249],"has":[31,55,70,132],"its":[32,56],"merit":[33,57],"returning":[35],"a":[36,86,89,119,247,258,266],"limited":[37],"number":[38,75,170],"to":[41,46,63,78,146,157,245],"but":[43,69,152,250],"requires":[44],"give":[47,64],"their":[48,65],"exact":[49,66],"utility":[50,67],"functions.":[51],"do":[60],"not":[61,133,147],"need":[62],"functions":[68],"no":[71],"control":[72],"over":[73],"returned.":[80],"In":[81,229],"this":[82],"paper,":[83],"we":[84,117,193],"study":[85],"k-regret":[87,111,129,162,248],"query,":[88,92,130],"recently":[90],"proposed":[91,215,254],"which":[93,131,200],"integrates":[94],"merits":[96],"We":[102],"first":[103],"identify":[104],"some":[105],"interesting":[106],"geometry":[107,191],"properties":[108],"query.":[112,163],"Based":[113],"on":[114,189,223,234],"these":[115],"properties,":[116,192],"define":[118],"set":[120],"candidate":[122],"points":[123,126,173],"called":[124],"happy":[125,172],"been":[134],"studied":[135],"literature.":[138],"This":[139],"result":[140],"very":[142,175],"fundamental":[143],"beneficial":[145],"only":[148],"all":[149,154,180],"existing":[150,181],"algorithms":[151,156,182,197,216],"also":[153],"new":[155],"developed":[159],"Since":[164],"it":[165],"found":[167],"small,":[176],"efficiency":[178],"can":[183],"improved":[185],"significantly.":[186],"Furthermore,":[187],"based":[188],"other":[190,263],"propose":[194],"efficient":[196],"each":[198],"performs":[201],"more":[202,241],"efficiently":[203],"than":[204,219,242],"best-known":[206,221,238],"fastest":[207],"algorithm.":[208],"Our":[209],"experimental":[210],"results":[211],"show":[212],"our":[214,232,253],"run":[217],"faster":[218],"method":[222,239],"both":[224],"synthetic":[225],"real":[227,235],"datasets.":[228],"particular,":[230],"experiments":[233],"datasets,":[236],"took":[240,256,264],"3":[243],"hours":[244],"answer":[246],"methods":[255],"about":[257],"few":[259],"minutes":[260],"within":[265],"second.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
