{"id":"https://openalex.org/W4290993991","doi":"https://doi.org/10.1109/icc45855.2022.9839005","title":"Efficient Geospatial Analytics on Time Series Big Data","display_name":"Efficient Geospatial Analytics on Time Series Big Data","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290993991","doi":"https://doi.org/10.1109/icc45855.2022.9839005"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9839005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9839005","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","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/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":"Isam Mashhour Al Jawarneh","raw_affiliation_strings":["University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067123099","display_name":"Paolo Bellavista","orcid":"https://orcid.org/0000-0003-0992-7948"},"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":"Paolo Bellavista","raw_affiliation_strings":["University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","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 &#x2013; Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073919193","display_name":"Luca Foschini","orcid":"https://orcid.org/0000-0001-9062-3647"},"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":"Luca Foschini","raw_affiliation_strings":["University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","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 &#x2013; Scienza e Ingegneria,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Dipartimento di Informatica &#x2013; Scienza e Ingegneria,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9360294"],"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":"3002","last_page":"3008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","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/T12205","display_name":"Time Series Analysis and Forecasting","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/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.9132829904556274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798631191253662},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7477661371231079},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6055241227149963},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5753475427627563},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5241987109184265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5172122716903687},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.4740152955055237},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4602490961551666},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44798827171325684},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.43145179748535156},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4161537289619446},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.41329675912857056},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.24553579092025757},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15316185355186462},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.14161908626556396},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.09115555882453918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.083793044090271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07688117027282715}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.9132829904556274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798631191253662},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7477661371231079},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6055241227149963},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5753475427627563},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5241987109184265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5172122716903687},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.4740152955055237},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4602490961551666},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44798827171325684},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.43145179748535156},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4161537289619446},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.41329675912857056},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.24553579092025757},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15316185355186462},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.14161908626556396},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.09115555882453918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.083793044090271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07688117027282715},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc45855.2022.9839005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9839005","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/905112","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/905112","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6399999856948853,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1997741691","https://openalex.org/W2028020839","https://openalex.org/W2542459869","https://openalex.org/W2753800508","https://openalex.org/W2899002048","https://openalex.org/W2901666606","https://openalex.org/W2965312081","https://openalex.org/W3008735605","https://openalex.org/W3045623656","https://openalex.org/W3090549995","https://openalex.org/W3097473266","https://openalex.org/W3123432870","https://openalex.org/W3169776611","https://openalex.org/W4200015544"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4362512700","https://openalex.org/W4366547507","https://openalex.org/W4401352344"],"abstract_inverted_index":{"In":[0],"smart":[1],"city":[2],"advanced":[3],"analytical":[4],"scenarios,":[5],"tremendous":[6],"amounts":[7],"of":[8,42],"georeferenced":[9,165],"big":[10],"time":[11,17,28,49,73,90,105,116,125,155,166,183],"series":[12,18,74,91,126,156,167],"data":[13,127],"arrive":[14],"continuously":[15],"to":[16,36,93,107,113,147],"databases,":[19],"requiring":[20],"the":[21,31,38,115,120,124,130,133,180,189],"shared":[22],"analytics":[23],"on":[24,154,163,172],"both":[25],"geospatial":[26,47,81,103,151],"and":[27,40,85,104,122],"dimensions.":[29,50],"Mostly,":[30],"focus":[32],"has":[33],"been":[34],"given":[35],"optimizing":[37],"storage":[39],"processing":[41],"each":[43],"workload":[44,98,135],"alone,":[45],"either":[46],"or":[48],"To":[51],"close":[52],"this":[53,56],"gap,":[54],"in":[55,110,179],"paper,":[57],"we":[58,66,159,170],"have":[59],"designed":[60],"a":[61,89,149,174],"pyramid-like":[62],"indexing":[63,141],"scheme":[64,142],"that":[65,128],"term":[67],"as":[68],"geoTSI":[69],"(short":[70],"for":[71,118,132],"geo":[72],"index)":[75],"which":[76],"twists":[77],"two":[78],"dimensionality":[79],"reduction":[80,178],"encoding":[82],"methods":[83],"(geohash":[84],"S2)":[86],"sequentially":[87],"with":[88],"index":[92,162],"efficiently":[94,145],"enable":[95],"such":[96],"mixed":[97,134],"scenarios.":[99],"This":[100],"method":[101,187],"enables":[102],"indexes":[106],"collaborate":[108],"synergistically":[109],"an":[111],"aim":[112],"reduce":[114],"required":[117],"accessing":[119],"disk":[121],"retrieving":[123],"comprises":[129],"answer":[131],"query.":[136],"We":[137],"show":[138],"how":[139],"our":[140,161,186],"can":[143],"be":[144],"exploited":[146],"run":[148],"hybrid":[150],"proximity":[152],"query":[153,181],"data.":[157],"Also,":[158],"evaluate":[160],"real-world":[164],"data,":[168],"where":[169],"obtain,":[171],"average,":[173],"significant":[175],"34":[176],"%":[177],"running":[182],"by":[184],"applying":[185],"against":[188],"baseline.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-08-13T00:00:00"}
