{"id":"https://openalex.org/W2594004273","doi":"https://doi.org/10.1109/escience.2016.7870890","title":"Fast window aggregate on array database by recursive incremental computation","display_name":"Fast window aggregate on array database by recursive incremental computation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2594004273","doi":"https://doi.org/10.1109/escience.2016.7870890","mag":"2594004273"},"language":"en","primary_location":{"id":"doi:10.1109/escience.2016.7870890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2016.7870890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on e-Science (e-Science)","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/A5053801300","display_name":"Li Jiang","orcid":"https://orcid.org/0000-0002-7353-8798"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Li Jiang","raw_affiliation_strings":["University of Tsukuba"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110952614","display_name":"Hideyuki Kawashima","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Kawashima","raw_affiliation_strings":["University of Tsukuba"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009328856","display_name":"Osamu Tatebe","orcid":"https://orcid.org/0000-0003-4714-2164"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Tatebe","raw_affiliation_strings":["University of Tsukuba"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053801300"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20054781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":null,"first_page":"101","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9959999918937683,"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":0.9959999918937683,"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":0.9945999979972839,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9930999875068665,"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":0.7956200838088989},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.731024444103241},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6868085861206055},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5848244428634644},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5266566276550293},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.48409926891326904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27791255712509155},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15195664763450623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956200838088989},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.731024444103241},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6868085861206055},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5848244428634644},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5266566276550293},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.48409926891326904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27791255712509155},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15195664763450623},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/escience.2016.7870890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2016.7870890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on e-Science (e-Science)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W56918557","https://openalex.org/W1578172527","https://openalex.org/W2019869665","https://openalex.org/W2031683879","https://openalex.org/W2041839949","https://openalex.org/W2048946519","https://openalex.org/W2101717554","https://openalex.org/W2101850227","https://openalex.org/W2132624318","https://openalex.org/W2144019624","https://openalex.org/W2149351176","https://openalex.org/W2167341360","https://openalex.org/W2407963066","https://openalex.org/W2760361228","https://openalex.org/W3019609263","https://openalex.org/W3142730227","https://openalex.org/W6602324189","https://openalex.org/W6634782047","https://openalex.org/W6680938227","https://openalex.org/W6682208585","https://openalex.org/W6713608323"],"related_works":["https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W4230691760","https://openalex.org/W4391923333","https://openalex.org/W2393847170","https://openalex.org/W85049056","https://openalex.org/W158465905","https://openalex.org/W577521963","https://openalex.org/W2054277467","https://openalex.org/W4231775656"],"abstract_inverted_index":{"An":[0],"array":[1,22],"database":[2],"is":[3,17,89],"effective":[4],"for":[5],"managing":[6],"and":[7,13,71,107],"analyzing":[8],"multidimensional":[9],"scientific":[10],"big":[11],"data,":[12],"the":[14,31,38,77,83],"window":[15,41,79,126],"aggregate":[16,47],"an":[18,73,103],"important":[19],"operator":[20],"in":[21,92],"databases.":[23],"This":[24,86],"paper":[25],"proposes":[26],"a":[27,98,109,117],"method":[28,65,88],"that":[29],"exploits":[30],"scheme":[32],"of":[33,40,46,53,76,100,111],"incremental":[34,63],"computation":[35,64,70],"to":[36,56],"accelerate":[37],"execution":[39],"aggregates":[42],"considerably.":[43],"Six":[44],"types":[45],"are":[48],"improved":[49,95],"using":[50],"different":[51],"designs":[52],"buffer":[54],"tools":[55],"eliminate":[57],"redundant":[58,69],"computation.":[59],"Our":[60],"proposed":[61,87],"recursive":[62],"completely":[66],"eliminates":[67],"all":[68],"achieves":[72],"improvement":[74],"factor":[75,99,110],"total":[78],"size":[80],"compared":[81,122],"with":[82,116,123],"naive":[84],"method.":[85],"fully":[90],"implemented":[91],"SciDB.":[93],"It":[94],"performance":[96],"by":[97,108],"10":[101],"on":[102,113],"earth":[104],"science":[105],"benchmark":[106],"64":[112],"synthetic":[114],"workloads":[115],"certain":[118],"data":[119],"setting":[120],"when":[121],"SciDB's":[124],"built-in":[125],"operator.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}