{"id":"https://openalex.org/W3003718360","doi":"https://doi.org/10.1177/1473871619896101","title":"Visualization in the preprocessing phase: Getting insights from enterprise professionals","display_name":"Visualization in the preprocessing phase: Getting insights from enterprise professionals","publication_year":2020,"publication_date":"2020-01-30","ids":{"openalex":"https://openalex.org/W3003718360","doi":"https://doi.org/10.1177/1473871619896101","mag":"3003718360"},"language":"en","primary_location":{"id":"doi:10.1177/1473871619896101","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871619896101","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10923/18962","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000759414","display_name":"Alessandra Maciel Paz Milani","orcid":"https://orcid.org/0000-0001-8900-4179"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Alessandra Maciel Paz Milani","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-8900-4179","affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009099532","display_name":"Fernando V. Paulovich","orcid":"https://orcid.org/0000-0002-2316-760X"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fernando V. Paulovich","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"raw_orcid":"https://orcid.org/0000-0002-2316-760X","affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006120617","display_name":"Isabel Harb Manssour","orcid":"https://orcid.org/0000-0001-9446-6757"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Isabel Harb Manssour","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000759414"],"corresponding_institution_ids":["https://openalex.org/I45643870"],"apc_list":null,"apc_paid":null,"fwci":1.275,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8209714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"273","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T13398","display_name":"Data Analysis with R","score":0.9869999885559082,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8174681663513184},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7613288760185242},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.721961259841919},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7019405364990234},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5208492875099182},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5140708684921265},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5070545673370361},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.46913573145866394},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4674322009086609},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.46056514978408813},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4362087547779083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38537782430648804},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3458991050720215},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16347268223762512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11194545030593872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8174681663513184},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7613288760185242},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.721961259841919},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7019405364990234},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5208492875099182},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5140708684921265},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5070545673370361},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.46913573145866394},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4674322009086609},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.46056514978408813},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4362087547779083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38537782430648804},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3458991050720215},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16347268223762512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11194545030593872},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.1177/1473871619896101","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871619896101","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.pucrs.br:10923/18962","is_oa":true,"landing_page_url":"https://hdl.handle.net/10923/18962","pdf_url":null,"source":{"id":"https://openalex.org/S4377196369","display_name":"PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45643870","host_organization_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","host_organization_lineage":["https://openalex.org/I45643870"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:repositorio.pucrs.br:10923/18962","is_oa":true,"landing_page_url":"https://hdl.handle.net/10923/18962","pdf_url":null,"source":{"id":"https://openalex.org/S4377196369","display_name":"PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45643870","host_organization_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","host_organization_lineage":["https://openalex.org/I45643870"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311135","display_name":"Canadian Bureau for International Education","ror":"https://ror.org/05eerek96"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W104553443","https://openalex.org/W382458928","https://openalex.org/W1551385575","https://openalex.org/W1979900513","https://openalex.org/W1987269142","https://openalex.org/W1989505216","https://openalex.org/W2018821139","https://openalex.org/W2044102377","https://openalex.org/W2058203255","https://openalex.org/W2114587936","https://openalex.org/W2119111481","https://openalex.org/W2126415191","https://openalex.org/W2131850886","https://openalex.org/W2140190241","https://openalex.org/W2151122362","https://openalex.org/W2187089797","https://openalex.org/W2517444746","https://openalex.org/W2527276559","https://openalex.org/W2534722177","https://openalex.org/W2625478334","https://openalex.org/W2751110224","https://openalex.org/W2904955348","https://openalex.org/W2953965357","https://openalex.org/W2998778915","https://openalex.org/W4229800322","https://openalex.org/W4238410479","https://openalex.org/W4254690344","https://openalex.org/W4285719527","https://openalex.org/W6605586908"],"related_works":["https://openalex.org/W3086422166","https://openalex.org/W3016972457","https://openalex.org/W2953976309","https://openalex.org/W3005749067","https://openalex.org/W2414493750","https://openalex.org/W3120548213","https://openalex.org/W2244828372","https://openalex.org/W2969239687","https://openalex.org/W3003718360","https://openalex.org/W594515629"],"abstract_inverted_index":{"The":[0,123],"current":[1,94],"information":[2],"age":[3],"has":[4],"increasingly":[5],"required":[6],"organizations":[7],"to":[8,90,174],"become":[9],"data-driven.":[10],"However,":[11],"analyzing":[12],"and":[13,53,65,109,128,159,198],"managing":[14],"raw":[15],"data":[16,24,45,100,121,176,179,191,208],"is":[17],"still":[18],"a":[19,77,139,163],"challenging":[20],"part":[21],"of":[22,80,85,96,134,141,156,166,189],"the":[23,44,50,59,62,83,93,106,126,132,135,149,154,187,190,193,199],"mining":[25,46,101,209],"process.":[26],"Even":[27],"though":[28],"we":[29,115,182],"can":[30,69],"find":[31],"interview":[32],"studies":[33],"proposing":[34],"design":[35],"implications":[36],"or":[37],"recommendations":[38],"for":[39,168],"future":[40,169],"visualization":[41,68,111,170],"solutions":[42],"in":[43,99,103,138,178,207,211],"scope,":[47],"they":[48,73,196,204],"cover":[49],"entire":[51],"workflow":[52],"do":[54,74],"not":[55,75],"fully":[56],"focus":[57],"on":[58,66,131,186],"challenges":[60,127,195],"during":[61,105],"preprocessing":[63,107],"phase":[64],"how":[67,110],"support":[70],"it.":[71],"Moreover,":[72],"organize":[76],"final":[78],"list":[79,140,145],"insights":[81],"consolidating":[82],"findings":[84,158],"other":[86],"related":[87,151],"studies.":[88],"Hence,":[89],"better":[91],"understand":[92],"practice":[95],"enterprise":[97],"professionals":[98],"workflows,":[102],"particular,":[104],"phase,":[108],"supports":[112],"this":[113],"process,":[114],"conducted":[116],"semi-structured":[117],"interviews":[118],"with":[119,148],"13":[120],"analysts.":[122],"discussion":[124],"about":[125],"opportunities":[129,200],"based":[130],"responses":[133],"interviewees":[136],"resulted":[137],"10":[142],"insights.":[143],"This":[144],"was":[146],"compared":[147],"closest":[150],"works,":[152],"improving":[153],"reliability":[155],"our":[157],"providing":[160],"background,":[161],"as":[162],"consolidated":[164],"set":[165],"requirements,":[167],"research":[171],"articles":[172],"applied":[173],"visual":[175],"exploration":[177],"mining.":[180],"Furthermore,":[181],"provide":[183],"greater":[184],"details":[185],"profile":[188],"analysts,":[192],"main":[194],"face,":[197],"that":[201],"arise":[202],"while":[203],"are":[205],"engaged":[206],"projects":[210],"diverse":[212],"organizational":[213],"areas.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}