{"id":"https://openalex.org/W4409919362","doi":"https://doi.org/10.1145/3733620.3733627","title":"OmniSketch: Streaming Data Analytics with Arbitrary Predicates","display_name":"OmniSketch: Streaming Data Analytics with Arbitrary Predicates","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4409919362","doi":"https://doi.org/10.1145/3733620.3733627"},"language":"en","primary_location":{"id":"doi:10.1145/3733620.3733627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3733620.3733627","pdf_url":null,"source":{"id":"https://openalex.org/S47508943","display_name":"ACM SIGMOD Record","issn_l":"0163-5808","issn":["0163-5808","1943-5835"],"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 SIGMOD Record","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.tue.nl/ws/files/359050789/3733620.3733627.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092865516","display_name":"Wieger R. Punter","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Wieger R. Punter","raw_affiliation_strings":["Eindhoven University of Technology"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074684566","display_name":"Odysseas Papapetrou","orcid":"https://orcid.org/0000-0003-0045-1648"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Odysseas Papapetrou","raw_affiliation_strings":["Eindhoven University of Technology"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023079617","display_name":"Minos Garofalakis","orcid":"https://orcid.org/0000-0003-0285-3907"},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Minos Garofalakis","raw_affiliation_strings":["ATHENA Research Center & Technical Univ. of Crete"],"affiliations":[{"raw_affiliation_string":"ATHENA Research Center & Technical Univ. of Crete","institution_ids":["https://openalex.org/I55741626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092865516"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":2.3431,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88790457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"54","issue":"1","first_page":"28","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9986000061035156,"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/T11106","display_name":"Data Management and Algorithms","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6877901554107666},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.639572262763977},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.568644106388092},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.5070269107818604},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33914631605148315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2287577986717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877901554107666},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.639572262763977},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.568644106388092},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5070269107818604},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33914631605148315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2287577986717224}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3733620.3733627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3733620.3733627","pdf_url":null,"source":{"id":"https://openalex.org/S47508943","display_name":"ACM SIGMOD Record","issn_l":"0163-5808","issn":["0163-5808","1943-5835"],"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 SIGMOD Record","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/b2157e4e-f91a-4cd3-a8e8-97a93dba0ea5","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/b2157e4e-f91a-4cd3-a8e8-97a93dba0ea5","pdf_url":"https://pure.tue.nl/ws/files/359050789/3733620.3733627.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Punter, W R, Papapetrou, O & Garofalakis, M 2025, 'OmniSketch : Streaming Data Analytics with Arbitrary Predicates', ACM SIGMOD Record, vol. 54, no. 1, pp. 28-35. https://doi.org/10.1145/3733620.3733627","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/b2157e4e-f91a-4cd3-a8e8-97a93dba0ea5","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/b2157e4e-f91a-4cd3-a8e8-97a93dba0ea5","pdf_url":"https://pure.tue.nl/ws/files/359050789/3733620.3733627.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Punter, W R, Papapetrou, O & Garofalakis, M 2025, 'OmniSketch : Streaming Data Analytics with Arbitrary Predicates', ACM SIGMOD Record, vol. 54, no. 1, pp. 28-35. https://doi.org/10.1145/3733620.3733627","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4680206264","display_name":"A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy","funder_award_id":"101057849","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6434866206","display_name":"Spatio-TEmporal Linked data tools for the AgRi-food data space","funder_award_id":"101070122","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409919362.pdf","grobid_xml":"https://content.openalex.org/works/W4409919362.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965972569","https://openalex.org/W1995437102","https://openalex.org/W2011737794","https://openalex.org/W2022858489","https://openalex.org/W2080234606","https://openalex.org/W2080745194","https://openalex.org/W2123845384","https://openalex.org/W2134786002","https://openalex.org/W2144982963","https://openalex.org/W2164235862","https://openalex.org/W2487095677","https://openalex.org/W3118593453","https://openalex.org/W3198289887","https://openalex.org/W3210289779","https://openalex.org/W4312311177","https://openalex.org/W4381621962","https://openalex.org/W4391054867"],"related_works":["https://openalex.org/W2384129116","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3092201768","https://openalex.org/W2796632413","https://openalex.org/W2740083192","https://openalex.org/W2508885301","https://openalex.org/W2794907032","https://openalex.org/W4255802207","https://openalex.org/W4298181270"],"abstract_inverted_index":{"A":[0],"key":[1],"need":[2],"in":[3,15,22,64,73],"different":[4],"disciplines":[5],"is":[6,34],"to":[7,17,40,70,118],"perform":[8],"analytics":[9,21],"over":[10],"fast-paced":[11,119],"data":[12,122,169],"streams,":[13,32,96],"similar":[14],"nature":[16],"the":[18,41,46,62,85,113,171,174,185],"traditional":[19],"OLAP":[20],"relational":[23],"databases,":[24],"i.e.,":[25],"with":[26,131,165,189],"filters":[27,100,132],"and":[28,45,97,101,120,127,151,158,167,176],"aggregates.":[29],"Storing":[30],"unbounded":[31],"however,":[33],"not":[35],"a":[36,147,152],"realistic":[37],"approach":[38],"due":[39],"high":[42],"storage":[43],"requirements,":[44],"delays":[47],"introduced":[48],"when":[49],"storing":[50,84],"massive":[51],"data.":[52],"Accordingly,":[53],"many":[54,125],"synopses/sketches":[55],"have":[56],"been":[57],"proposed":[58],"that":[59,76,116,170,177],"can":[60,79,179],"summarize":[61],"stream":[63],"small":[65,69,190],"memory":[66,191],"(usually":[67],"sufficiently":[68],"be":[71,80],"stored":[72],"RAM),":[74],"such":[75],"aggregate":[77],"queries":[78,183],"efficiently":[81],"approximated,":[82],"without":[83],"full":[86],"stream.":[87],"However,":[88],"past":[89],"synopses":[90],"predominantly":[91],"focus":[92],"on":[93,103,133],"summarizing":[94],"single-attribute":[95],"cannot":[98],"handle":[99],"constraints":[102],"arbitrary":[104],"subsets":[105],"of":[106],"multiple":[107,134],"attributes":[108],"efficiently.":[109],"We":[110,162],"propose":[111],"OmniSketch,":[112],"first":[114],"sketch":[115,142,172],"scales":[117],"complex":[121,181],"streams":[123],"(with":[124],"attributes),":[126],"supports":[128],"count":[129],"aggregates":[130],"attributes,":[135],"dynamically":[136],"chosen":[137],"at":[138],"query":[139,160],"time.":[140],"The":[141],"offers":[143],"probabilistic":[144],"error":[145],"guarantees,":[146,188],"favorable":[148],"space/accuracy":[149],"trade-off,":[150],"worst-case":[153],"logarithmic":[154],"complexity":[155],"for":[156,159],"updating":[157],"execution.":[161],"demonstrate":[163],"experimentally":[164],"real":[166],"synthetic":[168],"outperforms":[173],"state-of-the-art,":[175],"it":[178],"approximate":[180],"ad-hoc":[182],"within":[184],"configured":[186],"accuracy":[187],"requirements.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}