{"id":"https://openalex.org/W4383749391","doi":"https://doi.org/10.14778/3598581.3598589","title":"Towards Designing and Learning Piecewise Space-Filling Curves","display_name":"Towards Designing and Learning Piecewise Space-Filling Curves","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4383749391","doi":"https://doi.org/10.14778/3598581.3598589"},"language":"en","primary_location":{"id":"doi:10.14778/3598581.3598589","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3598581.3598589","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","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/A5088894076","display_name":"Jiangneng Li","orcid":"https://orcid.org/0000-0002-4387-5320"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jiangneng Li","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401111","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0002-7064-6267"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044528555","display_name":"Cheng Long","orcid":"https://orcid.org/0000-0001-6806-8405"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Cheng Long","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083157397","display_name":"Han Mao Kiah","orcid":"https://orcid.org/0000-0001-5611-0848"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Han Mao Kiah","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062357883","display_name":"Bin Cui","orcid":"https://orcid.org/0000-0003-1681-4677"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Cui","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088894076"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":3.0566,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92519562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"9","first_page":"2158","last_page":"2171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9983000159263611,"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":0.9976999759674072,"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/linear-subspace","display_name":"Linear subspace","score":0.7198308110237122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6989524960517883},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6571711301803589},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5800186991691589},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5592843890190125},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5501093864440918},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5243083238601685},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4696672856807709},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46295198798179626},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.4625960886478424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4610338509082794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37175384163856506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34726274013519287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21382459998130798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20704731345176697}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7198308110237122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6989524960517883},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6571711301803589},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5800186991691589},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5592843890190125},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5501093864440918},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5243083238601685},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4696672856807709},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46295198798179626},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.4625960886478424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4610338509082794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37175384163856506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34726274013519287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21382459998130798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20704731345176697},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3598581.3598589","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3598581.3598589","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1497953515","https://openalex.org/W1525420138","https://openalex.org/W1562704313","https://openalex.org/W1568832590","https://openalex.org/W1578663408","https://openalex.org/W1625390266","https://openalex.org/W1967601791","https://openalex.org/W1970805642","https://openalex.org/W1979605853","https://openalex.org/W1981561414","https://openalex.org/W1981988185","https://openalex.org/W1994669411","https://openalex.org/W2001268447","https://openalex.org/W2015190123","https://openalex.org/W2044105912","https://openalex.org/W2060454056","https://openalex.org/W2126316555","https://openalex.org/W2135961964","https://openalex.org/W2140977160","https://openalex.org/W2149122409","https://openalex.org/W2151135734","https://openalex.org/W2159772324","https://openalex.org/W2165569992","https://openalex.org/W2334782222","https://openalex.org/W2612529667","https://openalex.org/W2945486614","https://openalex.org/W2962771342","https://openalex.org/W2967062414","https://openalex.org/W2967734741","https://openalex.org/W3013630895","https://openalex.org/W3020084632","https://openalex.org/W3081786030","https://openalex.org/W3092052697","https://openalex.org/W3095297892","https://openalex.org/W3096737792","https://openalex.org/W3098304379","https://openalex.org/W3103567827","https://openalex.org/W3107842002","https://openalex.org/W3189183873","https://openalex.org/W4205381461","https://openalex.org/W4229050510","https://openalex.org/W4236783998","https://openalex.org/W4246962530","https://openalex.org/W4247365889","https://openalex.org/W4316136118"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2896134808","https://openalex.org/W2953354531","https://openalex.org/W1895366714","https://openalex.org/W841163430","https://openalex.org/W2254397067","https://openalex.org/W1575873910","https://openalex.org/W2349743712","https://openalex.org/W2164205216","https://openalex.org/W2172922018"],"abstract_inverted_index":{"To":[0],"index":[1,30],"multi-dimensional":[2],"data,":[3],"space-filling":[4],"curves":[5],"(SFCs)":[6],"have":[7],"been":[8],"used":[9,28],"to":[10,14,29,125,130],"map":[11],"the":[12,25,31,44,60,110,113,127],"data":[13,46,61,83,89,99,115],"one":[15],"dimension,":[16],"and":[17,101,105],"then":[18],"a":[19,39,49,68,88,120],"one-dimensional":[20],"indexing":[21],"method":[22,141],"such":[23],"as":[24],"B-tree":[26],"is":[27],"mapped":[32],"data.":[33],"The":[34],"existing":[35,143],"SFCs":[36,103,144],"all":[37,59],"adopt":[38],"single":[40,50],"mapping":[41,51,79],"scheme":[42,52],"for":[43,81,112],"whole":[45,114],"space.":[47,62,116],"However,":[48],"often":[53],"does":[54],"not":[55],"perform":[56],"well":[57],"on":[58],"In":[63],"this":[64],"paper,":[65],"we":[66,86,118],"propose":[67,87],"new":[69],"type":[70],"of":[71,109,147],"SFC":[72,111],"called":[73,91],"piecewise":[74],"SFCs,":[75],"which":[76,96],"adopts":[77],"different":[78,82],"schemes":[80],"subspaces.":[84],"Specifically,":[85],"structure":[90],"Bit":[92],"Merging":[93],"tree":[94],"(BMTree),":[95],"can":[97],"generate":[98],"subspaces":[100],"their":[102],"simultaneously":[104],"achieve":[106,131],"desirable":[107],"properties":[108],"Furthermore,":[117],"develop":[119],"reinforcement":[121],"learning":[122],"based":[123],"solution":[124],"build":[126],"BMTree,":[128],"aiming":[129],"excellent":[132],"query":[133,148],"performance.":[134,149],"Extensive":[135],"experiments":[136],"show":[137],"that":[138],"our":[139],"proposed":[140],"outperforms":[142],"in":[145],"terms":[146]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}