{"id":"https://openalex.org/W3048661974","doi":"https://doi.org/10.1145/3402126","title":"Using Deep Learning for Big Spatial Data Partitioning","display_name":"Using Deep Learning for Big Spatial Data Partitioning","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048661974","doi":"https://doi.org/10.1145/3402126","mag":"3048661974"},"language":"en","primary_location":{"id":"doi:10.1145/3402126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402126","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3402126","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061246132","display_name":"Tin Vu","orcid":"https://orcid.org/0000-0003-4088-7091"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tin Vu","raw_affiliation_strings":["University of California, Riverside"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048471838","display_name":"Alberto Belussi","orcid":null},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Belussi","raw_affiliation_strings":["University of Verona, Verona VR, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Verona, Verona VR, Italy","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042554325","display_name":"Sara Migliorini","orcid":null},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Migliorini","raw_affiliation_strings":["University of Verona, Verona VR, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Verona, Verona VR, Italy","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112556228","display_name":"Ahmed Eldway","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Eldway","raw_affiliation_strings":["University of California, Riverside"],"raw_orcid":"https://orcid.org/0000-0002-6584-1455","affiliations":[{"raw_affiliation_string":"University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061246132"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":1.5194,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83297449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8098621368408203},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.633192777633667},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5956903100013733},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.5702876448631287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5318719148635864},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5237253308296204},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5230304002761841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4926955997943878},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.48133835196495056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47567930817604065},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.45369720458984375},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42177626490592957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22779464721679688},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13713553547859192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09126338362693787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098621368408203},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.633192777633667},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5956903100013733},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.5702876448631287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5318719148635864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5237253308296204},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5230304002761841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4926955997943878},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.48133835196495056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47567930817604065},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.45369720458984375},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42177626490592957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22779464721679688},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13713553547859192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09126338362693787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3402126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402126","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3402126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402126","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2575769966","display_name":null,"funder_award_id":"IIS-1838222,CNS-1924694","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6479385919","display_name":null,"funder_award_id":"IIS-1838222","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6994161918","display_name":null,"funder_award_id":"1838222","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7239962327","display_name":null,"funder_award_id":"A1521","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G7671967541","display_name":null,"funder_award_id":"1924694","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320311030","display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\"","ror":"https://ror.org/01vx64p53"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320334079","display_name":"Gruppo Nazionale per il Calcolo Scientifico","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048661974.pdf","grobid_xml":"https://content.openalex.org/works/W3048661974.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1659797312","https://openalex.org/W2035579749","https://openalex.org/W2049003051","https://openalex.org/W2052611179","https://openalex.org/W2079348595","https://openalex.org/W2102723596","https://openalex.org/W2151135734","https://openalex.org/W2171419575","https://openalex.org/W2187025990","https://openalex.org/W2197411628","https://openalex.org/W2265297126","https://openalex.org/W2280230190","https://openalex.org/W2295338537","https://openalex.org/W2429954913","https://openalex.org/W2436533802","https://openalex.org/W2614354041","https://openalex.org/W2893116155","https://openalex.org/W2900961355","https://openalex.org/W2901028997","https://openalex.org/W2902240649","https://openalex.org/W2950376321","https://openalex.org/W2954887489","https://openalex.org/W2962771342","https://openalex.org/W2963213486","https://openalex.org/W2971209732","https://openalex.org/W2994911478","https://openalex.org/W2998368829","https://openalex.org/W3007271321","https://openalex.org/W3013624159","https://openalex.org/W3093354955","https://openalex.org/W4292081072"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W3014300295","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W4293567684","https://openalex.org/W3189515467","https://openalex.org/W4285783495","https://openalex.org/W3043871878","https://openalex.org/W2053326733"],"abstract_inverted_index":{"This":[0,72],"article":[1,73],"explores":[2],"the":[3,22,29,41,51,68,87,90,94,97,139,144,157,177,204,207,213,217,226,233,236],"use":[4,162],"of":[5,24,31,96,206,222,235],"deep":[6,79,166],"learning":[7,80,167],"to":[8,39,45,48,59,81,163,175,187],"choose":[9,61],"an":[10,62,192],"appropriate":[11,63],"spatial":[12,25,33,198],"partitioning":[13,64,98,128,179,228],"technique":[14,65,180,229],"for":[15,224],"big":[16,32,197],"data.":[17],"The":[18,112,153,169],"exponential":[19],"increase":[20],"in":[21,28,106,220],"volumes":[23],"datasets":[26,145],"resulted":[27],"development":[30],"data":[34,42,70,91,118,154],"frameworks.":[35],"These":[36],"systems":[37],"need":[38],"partition":[40],"across":[43],"machines":[44],"be":[46,188],"able":[47],"scale":[49],"out":[50],"computation.":[52],"Unfortunately,":[53],"there":[54],"is":[55],"no":[56],"current":[57],"method":[58,219],"automatically":[60],"based":[66,119],"on":[67,120,196],"input":[69],"distribution.":[71],"addresses":[74],"this":[75,173],"problem":[76],"by":[77,230],"using":[78,125,134,146],"train":[82,164],"a":[83,102,147,165,182],"model":[84,174,215],"that":[85,104,185,212],"captures":[86],"relationship":[88],"between":[89],"distribution":[92],"and":[93,110,130,149,156,200],"quality":[95,133,136,158],"techniques.":[99],"We":[100,190,210],"propose":[101],"solution":[103],"runs":[105],"two":[107],"phases,":[108],"training":[109,114],"application.":[111],"offline":[113],"phase":[115,171],"generates":[116],"synthetic":[117],"diverse":[121],"distributions,":[122],"partitions":[123],"them":[124],"six":[126],"different":[127],"techniques,":[129],"measures":[131],"their":[132],"four":[135],"metrics.":[137],"At":[138],"same":[140],"time,":[141],"it":[142],"summarizes":[143],"histogram":[148],"well-designed":[150],"skewness":[151],"measures.":[152],"summaries":[155],"metrics":[159],"are":[160],"then":[161],"model.":[168],"second":[170],"uses":[172],"predict":[176],"best":[178,227],"given":[181],"new":[183],"dataset":[184],"needs":[186],"partitioned.":[189],"run":[191],"extensive":[193],"experimental":[194],"evaluation":[195],"data,":[199],"we":[201],"experimentally":[202],"show":[203,211],"applicability":[205],"proposed":[208,214],"technique.":[209],"outperforms":[216],"baseline":[218],"terms":[221],"accuracy":[223],"choosing":[225],"only":[231],"analyzing":[232],"summary":[234],"datasets.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
