{"id":"https://openalex.org/W3115427319","doi":"https://doi.org/10.1109/access.2020.3047910","title":"Straightforward Working Principles Behind Modern Data Visualization Approaches","display_name":"Straightforward Working Principles Behind Modern Data Visualization Approaches","publication_year":2020,"publication_date":"2020-12-29","ids":{"openalex":"https://openalex.org/W3115427319","doi":"https://doi.org/10.1109/access.2020.3047910","mag":"3115427319"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3047910","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047910","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3047910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032131300","display_name":"Jugurta Montalv\u00e3o","orcid":"https://orcid.org/0000-0002-6659-6439"},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jugurta Montalv\u00e3o","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Sergipe, S&#xe3;o Crist&#xf3;v&#xe3;o, Brazil","UFS - Federal University of Sergipe = Universit\u00e9 f\u00e9d\u00e9rale de Sergipe (Universidade Federal de Sergipe Av. Marechal Rondon, s/n - Jardim Rosa Elze, S\u00e3o Crist\u00f3v\u00e3o - SE, 49100-000, Br\u00e9sil - Brazil)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Sergipe, S&#xe3;o Crist&#xf3;v&#xe3;o, Brazil","institution_ids":["https://openalex.org/I190085865"]},{"raw_affiliation_string":"UFS - Federal University of Sergipe = Universit\u00e9 f\u00e9d\u00e9rale de Sergipe (Universidade Federal de Sergipe Av. Marechal Rondon, s/n - Jardim Rosa Elze, S\u00e3o Crist\u00f3v\u00e3o - SE, 49100-000, Br\u00e9sil - Brazil)","institution_ids":["https://openalex.org/I190085865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083595162","display_name":"Luiz Miranda","orcid":"https://orcid.org/0000-0003-0896-5758"},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz Miranda","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Sergipe, S&#xe3;o Crist&#xf3;v&#xe3;o, Brazil","UFS - Federal University of Sergipe = Universit\u00e9 f\u00e9d\u00e9rale de Sergipe (Universidade Federal de Sergipe Av. Marechal Rondon, s/n - Jardim Rosa Elze, S\u00e3o Crist\u00f3v\u00e3o - SE, 49100-000, Br\u00e9sil - Brazil)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Sergipe, S&#xe3;o Crist&#xf3;v&#xe3;o, Brazil","institution_ids":["https://openalex.org/I190085865"]},{"raw_affiliation_string":"UFS - Federal University of Sergipe = Universit\u00e9 f\u00e9d\u00e9rale de Sergipe (Universidade Federal de Sergipe Av. Marechal Rondon, s/n - Jardim Rosa Elze, S\u00e3o Crist\u00f3v\u00e3o - SE, 49100-000, Br\u00e9sil - Brazil)","institution_ids":["https://openalex.org/I190085865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057109648","display_name":"Bernadette Dorizzi","orcid":"https://orcid.org/0000-0002-7502-1418"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bernadette Dorizzi","raw_affiliation_strings":["T\u00e9l\u00e9com SudParis, Institut Polytechnique de Paris, Palaiseau, Samovar, France","TSP - EPH - D\u00e9partement Electronique et Physique (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry Cedex - France)","ARMEDIA-SAMOVAR - ARMEDIA (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)"],"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com SudParis, Institut Polytechnique de Paris, Palaiseau, Samovar, France","institution_ids":["https://openalex.org/I4210145102"]},{"raw_affiliation_string":"TSP - EPH - D\u00e9partement Electronique et Physique (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry Cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"ARMEDIA-SAMOVAR - ARMEDIA (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","institution_ids":["https://openalex.org/I4210145102"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032131300"],"corresponding_institution_ids":["https://openalex.org/I190085865"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43559218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"4242","last_page":"4252"},"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":0.9726999998092651,"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/T13398","display_name":"Data Analysis with R","score":0.9653000235557556,"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/visualization","display_name":"Visualization","score":0.8233737349510193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.788794755935669},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5917697548866272},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4684823751449585},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.46034932136535645},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4452202320098877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4159426689147949},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40537333488464355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.383357435464859},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3763829171657562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26113879680633545}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8233737349510193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788794755935669},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5917697548866272},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4684823751449585},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.46034932136535645},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4452202320098877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4159426689147949},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40537333488464355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.383357435464859},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3763829171657562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26113879680633545}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3047910","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047910","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03122991v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03122991","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 2021, 9, pp.4242-4252. &#x27E8;10.1109/ACCESS.2020.3047910&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:68824290e21a4390aad300f80e630db7","is_oa":true,"landing_page_url":"https://doaj.org/article/68824290e21a4390aad300f80e630db7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 4242-4252 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3047910","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047910","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G3354226329","display_name":null,"funder_award_id":"308319/2018-4","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W85047175","https://openalex.org/W96676474","https://openalex.org/W1973192023","https://openalex.org/W1974851736","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2112796928","https://openalex.org/W2152825437","https://openalex.org/W2157444450","https://openalex.org/W2187089797","https://openalex.org/W2504108613","https://openalex.org/W2750384547","https://openalex.org/W2786672974","https://openalex.org/W2951527381","https://openalex.org/W3048284063","https://openalex.org/W3198926256","https://openalex.org/W6683161245","https://openalex.org/W6743688258","https://openalex.org/W6748816842"],"related_works":["https://openalex.org/W2105200106","https://openalex.org/W1574055964","https://openalex.org/W2295030662","https://openalex.org/W4225274103","https://openalex.org/W2923661510","https://openalex.org/W1938514595","https://openalex.org/W2579659702","https://openalex.org/W2147893003","https://openalex.org/W2520625499","https://openalex.org/W4312790984"],"abstract_inverted_index":{"From":[0],"state-of-the-art":[1,25,78],"visualization":[2],"algorithms,":[3],"we":[4],"distill":[5],"six":[6],"working":[7,28],"principles":[8,29],"which":[9,99],"are,":[10],"by":[11],"hypothesis,":[12],"sufficient":[13],"to":[14,20,73,102],"produce":[15,68],"visual":[16,69],"projections":[17,70],"qualitatively":[18,71],"similar":[19,72],"those":[21,74],"obtained":[22,75],"with":[23,76],"these":[24,77],"algorithms.":[26,79],"These":[27],"are":[30],"presented":[31],"through":[32,47,95],"the":[33,37,82,87],"geometrical":[34],"reasoning":[35],"of":[36,89],"classical":[38],"Multidimensional":[39],"Scaling":[40],"algorithm,":[41],"and":[42],"their":[43],"effectiveness":[44],"is":[45,93,100],"illustrated":[46],"a":[48,96],"novel":[49],"straightforward":[50],"algorithm":[51,66,98],"for":[52],"data":[53],"visualization.":[54],"We":[55],"show,":[56],"using":[57],"several":[58],"datasets":[59,92],"originated":[60],"from":[61],"various":[62],"applications,":[63],"that":[64],"our":[65],"can":[67],"Besides,":[80],"under":[81],"same":[83],"motivation":[84],"(of":[85],"simplification),":[86],"problem":[88],"visualizing":[90],"large":[91],"tackled":[94],"companion":[97],"able":[101],"embed":[103],"new":[104],"input":[105],"patterns.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
