{"id":"https://openalex.org/W2165438843","doi":"https://doi.org/10.14778/2733004.2733066","title":"Faster visual analytics through pixel-perfect aggregation","display_name":"Faster visual analytics through pixel-perfect aggregation","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2165438843","doi":"https://doi.org/10.14778/2733004.2733066","mag":"2165438843"},"language":"en","primary_location":{"id":"doi:10.14778/2733004.2733066","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2733004.2733066","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5063997221","display_name":"Uwe Jugel","orcid":"https://orcid.org/0000-0003-0722-4544"},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe Jugel","raw_affiliation_strings":["SAP, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAP, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006578340","display_name":"Zbigniew Jerzak","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zbigniew Jerzak","raw_affiliation_strings":["SAP, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAP, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065868199","display_name":"Gregor Hackenbroich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Hackenbroich","raw_affiliation_strings":["SAP, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAP, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002413906","display_name":"Volker Markl","orcid":"https://orcid.org/0009-0009-0964-026X"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Markl","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2361,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84374625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"13","first_page":"1705","last_page":"1708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973999857902527,"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":0.9506000280380249,"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":0.8410133123397827},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7556201219558716},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6036254167556763},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5869226455688477},{"id":"https://openalex.org/keywords/visitor-pattern","display_name":"Visitor pattern","score":0.5591802597045898},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5137039422988892},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4367738366127014},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43626222014427185},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.410930335521698},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40122881531715393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21112394332885742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8410133123397827},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7556201219558716},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6036254167556763},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5869226455688477},{"id":"https://openalex.org/C48947383","wikidata":"https://www.wikidata.org/wiki/Q830719","display_name":"Visitor pattern","level":2,"score":0.5591802597045898},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5137039422988892},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4367738366127014},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43626222014427185},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.410930335521698},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40122881531715393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21112394332885742},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/2733004.2733066","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2733004.2733066","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.636.5493","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.5493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/vol7/p1705-jugel.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1489091441","https://openalex.org/W1967295774","https://openalex.org/W1988313157","https://openalex.org/W2043498719","https://openalex.org/W2106595237","https://openalex.org/W2120422643","https://openalex.org/W2122430112","https://openalex.org/W2133665775","https://openalex.org/W2143545446","https://openalex.org/W2294510862","https://openalex.org/W2917732394","https://openalex.org/W3160903453","https://openalex.org/W4244857585","https://openalex.org/W4251696430"],"related_works":["https://openalex.org/W2564956852","https://openalex.org/W2739642562","https://openalex.org/W4378086562","https://openalex.org/W4312876099","https://openalex.org/W2081749267","https://openalex.org/W2143428259","https://openalex.org/W2595222372","https://openalex.org/W2148525144","https://openalex.org/W2018276586","https://openalex.org/W2181693928"],"abstract_inverted_index":{"State-of-the-art":[0],"visual":[1],"data":[2,17,41,50,56,69,82,92,115,133,152,178],"analysis":[3],"tools":[4],"ignore":[5],"bandwidth":[6],"limitations.":[7],"They":[8],"fetch":[9,72],"millions":[10,131],"of":[11,13,49,76,106,112,114,130,132,150,160],"records":[12],"high-volume":[14],"time":[15,109],"series":[16],"from":[18],"an":[19,164],"underlying":[20],"RDBMS":[21],"to":[22,65,71,144,171],"eventually":[23],"draw":[24],"only":[25],"a":[26,38,77,80,103,126],"few":[27,104],"thousand":[28],"pixels":[29],"on":[30],"the":[31,47,55,68,86,96,139,146,157,169],"screen.":[32],"In":[33],"this":[34],"work,":[35],"we":[36],"demonstrate":[37],"pixel-aware":[39,137],"big":[40,151],"visualization":[42,87,129],"system":[43,100,162],"that":[44,84],"dynamically":[45],"adapts":[46],"number":[48],"points":[51,70],"transmitted":[52],"and":[53,125,148,154,174],"thus":[54],"rate,":[57],"while":[58],"preserving":[59],"pixel-perfect":[60],"visualizations.":[61],"We":[62],"show":[63],"how":[64],"carefully":[66],"select":[67],"for":[73,110],"each":[74],"pixel":[75],"visualization,":[78],"using":[79],"visualization-driven":[81],"aggregation":[83],"models":[85],"process.":[88],"Defining":[89],"all":[90],"required":[91],"reduction":[93,179],"operators":[94],"at":[95],"query":[97,107],"level,":[98],"our":[99,136,161],"trades":[101],"off":[102],"milliseconds":[105],"execution":[108],"dozens":[111],"seconds":[113],"transfer":[116],"time.":[117],"The":[118],"results":[119],"are":[120],"significantly":[121],"reduced":[122],"response":[123],"times":[124],"near":[127],"real-time":[128],"points.":[134],"Using":[135],"system,":[138],"audience":[140],"will":[141],"be":[142],"able":[143],"enjoy":[145],"speed":[147],"ease":[149],"visualizations":[153],"learn":[155],"about":[156],"scientific":[158],"background":[159],"through":[163],"interactive":[165],"evaluation":[166],"component,":[167],"allowing":[168],"visitor":[170],"measure,":[172],"visualize,":[173],"compare":[175],"competing":[176],"visualization-related":[177],"techniques.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
