{"id":"https://openalex.org/W2095573283","doi":"https://doi.org/10.1109/vast.2014.7042514","title":"Visual analysis of missing data &amp;#x2014; To see what isn't there","display_name":"Visual analysis of missing data &amp;#x2014; To see what isn't there","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2095573283","doi":"https://doi.org/10.1109/vast.2014.7042514","mag":"2095573283"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2014.7042514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2014.7042514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5005188502","display_name":"Sara Johansson Fernstad","orcid":"https://orcid.org/0000-0003-4518-5144"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sara Johansson Fernstad","raw_affiliation_strings":["University of Cambridge","University of Cambridge,"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014283781","display_name":"Robert C. Glen","orcid":"https://orcid.org/0000-0003-1759-2914"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robert C Glen","raw_affiliation_strings":["University of Cambridge","University of Cambridge,"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005188502"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.61099151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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":0.9990000128746033,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.973800003528595,"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/missing-data","display_name":"Missing data","score":0.8725621700286865},{"id":"https://openalex.org/keywords/rigour","display_name":"Rigour","score":0.8133732080459595},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7195204496383667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6726001501083374},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6668972969055176},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6553635597229004},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6365442276000977},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5916752815246582},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.5560817718505859},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5423939228057861},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.502872884273529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4922410547733307},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4649001359939575},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4409274160861969},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3412473797798157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12526103854179382},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11568567156791687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08230262994766235}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8725621700286865},{"id":"https://openalex.org/C71008984","wikidata":"https://www.wikidata.org/wiki/Q2890076","display_name":"Rigour","level":2,"score":0.8133732080459595},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7195204496383667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726001501083374},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6668972969055176},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6553635597229004},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6365442276000977},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5916752815246582},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5560817718505859},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5423939228057861},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.502872884273529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4922410547733307},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4649001359939575},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4409274160861969},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3412473797798157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12526103854179382},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11568567156791687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08230262994766235},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vast.2014.7042514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2014.7042514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W92977396","https://openalex.org/W1500944114","https://openalex.org/W1525673468","https://openalex.org/W1972924210","https://openalex.org/W2059230219","https://openalex.org/W2169620084","https://openalex.org/W2483159976","https://openalex.org/W6603901780","https://openalex.org/W7020423687"],"related_works":["https://openalex.org/W1558485007","https://openalex.org/W3127482518","https://openalex.org/W2138646726","https://openalex.org/W2153940791","https://openalex.org/W3149746193","https://openalex.org/W2018276586","https://openalex.org/W2569272952","https://openalex.org/W3081541487","https://openalex.org/W2186165905","https://openalex.org/W3151677261"],"abstract_inverted_index":{"Missing":[0,26],"data":[1,9,13,31,74],"are":[2,5,12,28],"records":[3],"that":[4,14],"absent":[6],"from":[7],"a":[8],"set.":[10],"They":[11],"were":[15,24],"intended":[16],"to":[17,54,67,82,98],"be":[18],"recorded,":[19],"but":[20],"for":[21,58],"some":[22],"reason":[23],"not.":[25],"values":[27],"common":[29],"in":[30,35,89],"analysis":[32],"and":[33,45,75,92,100],"occur":[34],"almost":[36],"any":[37],"domain,":[38],"causing":[39],"problems":[40],"such":[41],"as":[42,79,81],"biased":[43],"results":[44],"reduced":[46],"statistical":[47],"rigour.":[48],"Visual":[49],"analytics":[50],"has":[51],"great":[52],"potential":[53],"provide":[55],"invaluable":[56],"support":[57,88],"the":[59,69,76,84,90],"investigation":[60],"of":[61,71,86],"missing":[62,73],"data.":[63],"This":[64],"poster":[65],"aims":[66],"highlight":[68],"importance":[70],"analysing":[72],"challenges":[77],"involved,":[78],"well":[80],"emphasize":[83],"lack":[85],"visualization":[87,96],"area":[91],"through":[93],"this":[94,102],"encourage":[95],"scientists":[97],"discuss":[99],"address":[101],"highly":[103],"relevant":[104],"issue.":[105]},"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":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
