{"id":"https://openalex.org/W2337337754","doi":null,"title":"zenvisage: Effortless Visual Data Exploration.","display_name":"zenvisage: Effortless Visual Data Exploration.","publication_year":2016,"publication_date":"2016-04-12","ids":{"openalex":"https://openalex.org/W2337337754","mag":"2337337754"},"language":"en","primary_location":{"id":"mag:2337337754","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1604.03583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1604.03583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079891721","display_name":"Tarique Siddiqui","orcid":"https://orcid.org/0009-0002-0866-7275","observed_orcids":["https://orcid.org/0009-0002-0866-7275"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tarique Siddiqui","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0002-0866-7275","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101959459","display_name":"Albert Kim","orcid":"https://orcid.org/0009-0008-4692-0757","observed_orcids":["https://orcid.org/0009-0008-4692-0757"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albert Kim","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6203-5098","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383921","display_name":"John R. Lee","orcid":"https://orcid.org/0000-0002-0914-2975","observed_orcids":["https://orcid.org/0000-0002-0914-2975"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Lee","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0914-2975","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075056899","display_name":"Karrie G. Karahalios","orcid":"https://orcid.org/0000-0001-8788-3405","observed_orcids":["https://orcid.org/0000-0001-8788-3405"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karrie Karahalios","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8788-3405","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013608601","display_name":"Aditya Parameswaran","orcid":"https://orcid.org/0000-0002-4538-4752","observed_orcids":["https://orcid.org/0000-0002-4538-4752"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aditya Parameswaran","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4538-4752","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11986","display_name":"Scientific Computing and Data Management","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-data-exploration","display_name":"visual data exploration","score":0.9309999942779541},{"id":"https://openalex.org/keywords/visual-query-language","display_name":"visual query language","score":0.8399999737739563},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"visual analytics","score":0.7110000252723694},{"id":"https://openalex.org/keywords/data-visualization","display_name":"data visualization","score":0.5360000133514404},{"id":"https://openalex.org/keywords/query-optimization","display_name":"query optimization","score":0.7260000109672546},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.7099999785423279},{"id":"https://openalex.org/keywords/data-scientists","display_name":"data scientists","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8231303691864014},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7376157641410828},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6725454926490784},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6344384551048279},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5421934127807617},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5254758596420288},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5192273259162903},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4889620542526245},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4710778295993805},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4308015704154968},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.42534786462783813},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4198925495147705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2466931939125061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18932649493217468},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1663971245288849},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2337337754","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1604.03583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2337337754","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1604.03583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W86904456","https://openalex.org/W205529591","https://openalex.org/W1491318920","https://openalex.org/W1495643041","https://openalex.org/W1515560342","https://openalex.org/W1673774254","https://openalex.org/W1914972138","https://openalex.org/W1961845056","https://openalex.org/W1969937393","https://openalex.org/W1985620471","https://openalex.org/W2001670934","https://openalex.org/W2007087405","https://openalex.org/W2020865809","https://openalex.org/W2023758372","https://openalex.org/W2058978608","https://openalex.org/W2066796814","https://openalex.org/W2069811933","https://openalex.org/W2079201812","https://openalex.org/W2093189534","https://openalex.org/W2097267403","https://openalex.org/W2097627964","https://openalex.org/W2103219113","https://openalex.org/W2111736285","https://openalex.org/W2113411758","https://openalex.org/W2122646361","https://openalex.org/W2124278683","https://openalex.org/W2128061541","https://openalex.org/W2132881639","https://openalex.org/W2145829184","https://openalex.org/W2151912509","https://openalex.org/W2152922709","https://openalex.org/W2163336863"],"related_works":["https://openalex.org/W2414312413","https://openalex.org/W2963707382","https://openalex.org/W3093140190","https://openalex.org/W2905432248","https://openalex.org/W4283213358","https://openalex.org/W3176075086","https://openalex.org/W2266773988","https://openalex.org/W2584744402","https://openalex.org/W7015331147","https://openalex.org/W2532668434"],"abstract_inverted_index":{"Data":[0],"visualization":[1],"is":[2],"by":[3,14],"far":[4],"the":[5,42,80],"most":[6],"commonly":[7],"used":[8],"mechanism":[9],"to":[10,33,37,109,156,163],"explore":[11],"data,":[12],"especially":[13],"novice":[15],"data":[16,19,35,46,159],"analysts":[17,106],"and":[18,50,102,134,140],"scientists.":[20],"And":[21],"yet,":[22],"current":[23],"visual":[24,45,73,82,119],"analytics":[25],"tools":[26],"are":[27,107,161],"rather":[28],"limited":[29],"in":[30,92,126,138,145],"their":[31],"ability":[32],"guide":[34],"scientists":[36,160],"interesting":[38,60],"or":[39,63,85],"desired":[40,81],"visualizations:":[41],"process":[43],"of":[44,95],"exploration":[47],"remains":[48],"cumbersome":[49],"time-consuming.":[51],"We":[52,68,129],"propose":[53],"zenvisage,":[54],"a":[55,93,118,153],"platform":[56],"for":[57,78,142,167],"effortlessly":[58],"visualizing":[59],"patterns,":[61],"trends,":[62],"insights":[64],"from":[65,90],"large":[66],"datasets.":[67],"describe":[69,125,131],"zenvisage's":[70],"general":[71],"purpose":[72],"query":[74],"language,":[75],"ZQL":[76,111,143],"(zee-quel)":[77],"specifying":[79],"trend,":[83],"pattern,":[84],"insight":[86],"-":[87],"zenvisage":[88,116,148,166],"draws":[89],"use-cases":[91],"variety":[94],"domains,":[96],"including":[97],"biology,":[98],"mechanical":[99],"engineering,":[100],"commerce,":[101],"server":[103],"monitoring.":[104],"While":[105],"free":[108],"use":[110,165],"directly,":[112],"we":[113,123],"also":[114,124],"expose":[115],"via":[117],"specification":[120],"interface,":[121],"which":[122],"this":[127],"paper.":[128],"then":[130],"our":[132,146],"architecture":[133],"optimizations,":[135],"preliminary":[136],"experiments":[137],"supporting":[139],"optimizing":[141],"queries":[144],"initial":[147],"prototype,":[149],"as":[150,152],"well":[151],"user":[154],"study":[155],"evaluate":[157],"whether":[158],"able":[162],"effectively":[164],"real":[168],"applications.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
