{"id":"https://openalex.org/W4393036430","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10465045","title":"Cost-Effective Approximate Aggregation Queries on Geospatial Big Data","display_name":"Cost-Effective Approximate Aggregation Queries on Geospatial Big Data","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393036430","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10465045"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps58843.2023.10465045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps58843.2023.10465045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021583910","display_name":"Isam Mashhour Al Jawarneh","orcid":"https://orcid.org/0000-0002-4796-2181"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Isam Mashhour Al Jawarneh","raw_affiliation_strings":["University of Sharjah,Department of Computer Science,Sharjah,United Arab Emirates,27272"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Department of Computer Science,Sharjah,United Arab Emirates,27272","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005379518","display_name":"Rebecca Montanari","orcid":"https://orcid.org/0000-0002-3687-0361"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rebecca Montanari","raw_affiliation_strings":["University of Bologna,Dipartimento di Informatica – Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica – Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020963845","display_name":"Antonio Corradi","orcid":"https://orcid.org/0000-0002-5107-1023"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Corradi","raw_affiliation_strings":["University of Bologna,Dipartimento di Informatica – Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica – Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1313","last_page":"1318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9805999994277954,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.9154869318008423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301638126373291},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6446096897125244},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45589613914489746},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3604279160499573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35126522183418274},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.0866326093673706},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08036795258522034}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.9154869318008423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301638126373291},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6446096897125244},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45589613914489746},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3604279160499573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35126522183418274},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0866326093673706},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08036795258522034}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps58843.2023.10465045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps58843.2023.10465045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W220519675","https://openalex.org/W1568832590","https://openalex.org/W1973749534","https://openalex.org/W2295338537","https://openalex.org/W2766542373","https://openalex.org/W2885565220","https://openalex.org/W3008735605","https://openalex.org/W3020567875","https://openalex.org/W3045623656","https://openalex.org/W3090549995","https://openalex.org/W3094451066","https://openalex.org/W3097473266","https://openalex.org/W3123432870","https://openalex.org/W3169776611","https://openalex.org/W4200015544","https://openalex.org/W4210630632","https://openalex.org/W4385658025","https://openalex.org/W6731596640"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"Aggregation":[0],"queries":[1,18,112,146],"are":[2,27,80],"essential":[3],"in":[4,134,151,164],"spatial":[5],"data":[6],"analytics,":[7],"including":[8],"Top-N,":[9],"and":[10,15,47,63,95,122],"geo-statistics":[11],"such":[12,34],"as":[13,35,176],"\u2018mean\u2019":[14],"\u2018count\u2019.":[16],"Those":[17],"require":[19,114],"grouping":[20,59],"geospatial":[21,76,110],"objects":[22,60],"into":[23],"pre-defined":[24],"clusters":[25],"that":[26,100,113,126,153],"typically":[28,81],"administrative":[29],"polygons":[30,51,62,79],"representing":[31,52],"study":[32],"areas":[33],"cities.":[36],"Given":[37],"a":[38,48,53,73,98,161],"big":[39],"georeferenced":[40],"dataset":[41],"on":[42,157,167],"the":[43,55,93,105,179],"order":[44],"of":[45,50,86,97,108,136,181],"millions,":[46],"group":[49],"city,":[54],"aggregation":[56,145],"query":[57],"requires":[58],"by":[61,83,132],"determining":[64],"to":[65,173],"which":[66,171],"polygon":[67,182],"each":[68],"object":[69],"belongs.":[70],"This":[71],"is":[72],"computationally":[74],"expensive":[75],"operation":[77],"because":[78],"represented":[82],"huge":[84],"amounts":[85],"vertices.":[87,184],"In":[88],"this":[89],"paper,":[90],"we":[91,101,147,177],"show":[92,125],"design":[94],"realization":[96],"system":[99,128],"term":[102],"ApproxGeoAgg":[103],"for":[104,143],"efficient":[106],"approximation":[107],"costly":[109],"aggregate":[111],"group-by":[115],"operations.":[116],"We":[117],"have":[118],"performed":[119],"extensive":[120],"testing,":[121],"our":[123,127],"results":[124],"outperforms":[129],"plain":[130],"baselines":[131],"order-of-magnitude":[133],"terms":[135],"balancing":[137],"running":[138,165],"times":[139],"with":[140,160,169],"accuracy.":[141],"Specifically,":[142],"Top-N":[144],"obtain":[148],"tiny":[149],"loss":[150],"accuracy":[152],"reaches":[154],"0.00038%":[155],"depending":[156],"parameter":[158],"configurations,":[159],"corresponding":[162],"gain":[163],"time":[166],"par":[168],"2.6%,":[170],"escalates":[172],"circa":[174],"12%":[175],"decrease":[178],"number":[180],"boundary":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}