{"id":"https://openalex.org/W2000472557","doi":"https://doi.org/10.1109/iv.2014.20","title":"Parallel Box: Visually Comparable Representation for Multivariate Data Analysis","display_name":"Parallel Box: Visually Comparable Representation for Multivariate Data Analysis","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2000472557","doi":"https://doi.org/10.1109/iv.2014.20","mag":"2000472557"},"language":"en","primary_location":{"id":"doi:10.1109/iv.2014.20","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv.2014.20","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 18th International Conference on Information Visualisation","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/A5059505921","display_name":"Hiroaki Kobayashi","orcid":"https://orcid.org/0000-0001-6705-9515"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroaki Kobayashi","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba","Department of Computer Science University of Tsukuba Tsukuba Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Department of Computer Science University of Tsukuba Tsukuba Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113543742","display_name":"Tadanobu Furukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]},{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadanobu Furukawa","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba","FUJITSU LABORATORIES LTD. Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"FUJITSU LABORATORIES LTD. Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004274958","display_name":"Kazuo Misue","orcid":"https://orcid.org/0000-0003-0216-8969"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuo Misue","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba","Fac. of Eng., Inf. & Syst. Univ. of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Fac. of Eng., Inf. & Syst. Univ. of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059505921"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.4878,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67776319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9998000264167786,"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":0.9998000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7810559272766113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410765886306763},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.5974886417388916},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5899295806884766},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.555263102054596},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.517275869846344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4893297553062439},{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.48421740531921387},{"id":"https://openalex.org/keywords/box-plot","display_name":"Box plot","score":0.4522075355052948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43471086025238037},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42974555492401123},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.4127305746078491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3558470606803894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2717526853084564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18926912546157837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.148197740316391}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7810559272766113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410765886306763},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.5974886417388916},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5899295806884766},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.555263102054596},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.517275869846344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4893297553062439},{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.48421740531921387},{"id":"https://openalex.org/C92560755","wikidata":"https://www.wikidata.org/wiki/Q895726","display_name":"Box plot","level":2,"score":0.4522075355052948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43471086025238037},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42974555492401123},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4127305746078491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3558470606803894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2717526853084564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18926912546157837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.148197740316391}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv.2014.20","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv.2014.20","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 18th International Conference on Information Visualisation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1775412516","https://openalex.org/W1964146567","https://openalex.org/W2030246490","https://openalex.org/W2037432955","https://openalex.org/W2042204882","https://openalex.org/W2042948671","https://openalex.org/W2047046780","https://openalex.org/W2047257058","https://openalex.org/W2050427657","https://openalex.org/W2057720927","https://openalex.org/W2068746243","https://openalex.org/W2085369494","https://openalex.org/W2110277060","https://openalex.org/W2119452648","https://openalex.org/W2141115795","https://openalex.org/W2145680370","https://openalex.org/W2176484213","https://openalex.org/W4232345992","https://openalex.org/W4242788393","https://openalex.org/W4246528899","https://openalex.org/W4252075954","https://openalex.org/W6658163861"],"related_works":["https://openalex.org/W2067923524","https://openalex.org/W1873226627","https://openalex.org/W2951177137","https://openalex.org/W3001728174","https://openalex.org/W2116732611","https://openalex.org/W2519063155","https://openalex.org/W2061132865","https://openalex.org/W72601455","https://openalex.org/W2939349690","https://openalex.org/W2124149049"],"abstract_inverted_index":{"In":[0],"visual":[1,18,61,102],"analytics,":[2],"data":[3,22,35],"comparison":[4,27,71],"is":[5,99],"a":[6,69,79,84],"means":[7],"of":[8,20,28,37,64,87,92],"analyzing":[9],"data.":[10],"We":[11,77],"developed":[12],"Parallel":[13,66,88,97],"Box":[14,67,98],"to":[15],"support":[16],"the":[17,25,34,60],"analysis":[19,82,94],"multivariate":[21,30,38],"by":[23],"facilitating":[24],"flexible":[26],"numerous":[29],"items.":[31],"To":[32],"compare":[33],"distributions":[36],"data,":[39],"we":[40],"combine":[41],"cumulative":[42],"bar":[43],"charts":[44],"and":[45],"box":[46],"plots,":[47],"tools":[48],"that":[49,96],"are":[50],"widely":[51],"used":[52],"in":[53],"statistics.":[54],"Using":[55],"shadow":[56],"expression":[57],"based":[58],"on":[59],"Gestalt":[62],"principles":[63],"grouping,":[65],"enables":[68],"direct":[70],"between":[72],"either":[73],"datasets":[74],"or":[75],"variables.":[76],"performed":[78],"social":[80],"media":[81],"as":[83],"case":[85],"study":[86],"Box.":[89],"The":[90],"results":[91],"our":[93],"confirm":[95],"useful":[100],"for":[101],"analysis.":[103]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
