{"id":"https://openalex.org/W2999597194","doi":"https://doi.org/10.1007/s11036-019-01455-9","title":"Double-Arc Parallel Coordinates and its Axes re-Ordering Methods","display_name":"Double-Arc Parallel Coordinates and its Axes re-Ordering Methods","publication_year":2020,"publication_date":"2020-01-08","ids":{"openalex":"https://openalex.org/W2999597194","doi":"https://doi.org/10.1007/s11036-019-01455-9","mag":"2999597194"},"language":"en","primary_location":{"id":"doi:10.1007/s11036-019-01455-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-019-01455-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-019-01455-9.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11036-019-01455-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049664274","display_name":"Liangfu Lu","orcid":"https://orcid.org/0000-0001-8731-9775"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangfu Lu","raw_affiliation_strings":["School of Mathematics, Tianjin University, Tianjin, People\u2019s Republic of China, 300072","School of Mathematics, Tianjin University, Tianjin, People's Republic of China, 300072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Tianjin University, Tianjin, People\u2019s Republic of China, 300072","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Mathematics, Tianjin University, Tianjin, People's Republic of China, 300072","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350674","display_name":"Wenbo Wang","orcid":"https://orcid.org/0000-0002-6418-1555"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Wang","raw_affiliation_strings":["SIST, ShanghaiTech University, Shanghai, People\u2019s Republic of China, 200120","SIST, ShanghaiTech University, Shanghai, People's Republic of China, 200120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIST, ShanghaiTech University, Shanghai, People\u2019s Republic of China, 200120","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"SIST, ShanghaiTech University, Shanghai, People's Republic of China, 200120","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044811454","display_name":"Zhiyuan Tan","orcid":"https://orcid.org/0000-0001-5420-2554"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhiyuan Tan","raw_affiliation_strings":["School of Computing, Edinburgh Napier University, Edinburgh, EH10 5DT, UK"],"raw_orcid":"https://orcid.org/0000-0001-5420-2554","affiliations":[{"raw_affiliation_string":"School of Computing, Edinburgh Napier University, Edinburgh, EH10 5DT, UK","institution_ids":["https://openalex.org/I251738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044811454"],"corresponding_institution_ids":["https://openalex.org/I251738"],"apc_list":null,"apc_paid":null,"fwci":0.2942,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54323564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"25","issue":"4","first_page":"1376","last_page":"1391"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.984000027179718,"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/T11106","display_name":"Data Management and Algorithms","score":0.9595999717712402,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parallel-coordinates","display_name":"Parallel coordinates","score":0.945879340171814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8276872634887695},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.6457820534706116},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6169168949127197},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5996659994125366},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48355910181999207},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.45795878767967224},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4486829340457916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36770033836364746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35986071825027466},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.33650073409080505},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1652785837650299},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11622914671897888}],"concepts":[{"id":"https://openalex.org/C60011546","wikidata":"https://www.wikidata.org/wiki/Q932996","display_name":"Parallel coordinates","level":4,"score":0.945879340171814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276872634887695},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.6457820534706116},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6169168949127197},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5996659994125366},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48355910181999207},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.45795878767967224},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4486829340457916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36770033836364746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35986071825027466},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.33650073409080505},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1652785837650299},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11622914671897888},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11036-019-01455-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-019-01455-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-019-01455-9.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},{"id":"pmh:oai:napier-surface.worktribe.com:2195402","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/2195402/1/Double-Arc%20Parallel%20Coordinates%20and%20its%20Axes%20Re-ordering%20Methods","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:repository@napier.ac.uk:2195402","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/2195402","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s11036-019-01455-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-019-01455-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-019-01455-9.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6427411219","display_name":null,"funder_award_id":"51877144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7827321566","display_name":null,"funder_award_id":"No.51877144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320619","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999597194.pdf","grobid_xml":"https://content.openalex.org/works/W2999597194.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W574078859","https://openalex.org/W1613201427","https://openalex.org/W1969133212","https://openalex.org/W1976160686","https://openalex.org/W1992878451","https://openalex.org/W1995007314","https://openalex.org/W1997452664","https://openalex.org/W2047046780","https://openalex.org/W2093475520","https://openalex.org/W2097089704","https://openalex.org/W2109727435","https://openalex.org/W2110084720","https://openalex.org/W2115681694","https://openalex.org/W2126321334","https://openalex.org/W2142115640","https://openalex.org/W2148329479","https://openalex.org/W2163925089","https://openalex.org/W2210405806","https://openalex.org/W2219394041","https://openalex.org/W2221590122","https://openalex.org/W2331699509","https://openalex.org/W2580703541","https://openalex.org/W2752257308"],"related_works":["https://openalex.org/W2762482744","https://openalex.org/W2153229514","https://openalex.org/W2241588737","https://openalex.org/W4320303648","https://openalex.org/W2770767919","https://openalex.org/W3019306865","https://openalex.org/W2070275453","https://openalex.org/W1983314790","https://openalex.org/W2093133953","https://openalex.org/W2059973664"],"abstract_inverted_index":{"Abstract":[0],"The":[1,98,219],"Parallel":[2],"Coordinates":[3,56],"Plot":[4,57],"(PCP)":[5],"is":[6,36,59,91,210,254,266,319],"a":[7,60,158,204,250,292,366],"popular":[8,61],"technique":[9],"for":[10],"the":[11,47,85,92,105,111,114,117,151,168,171,179,183,186,194,213,222,229,235,244,257,271,275,283,308,333,338,356,360],"exploration":[12],"of":[13,46,94,107,116,170,185,225,228,259,311,335],"high-dimensional":[14,314],"data.":[15,30,324],"In":[16,76],"many":[17],"cases,":[18],"researchers":[19],"apply":[20],"it":[21],"as":[22,141,268],"an":[23,133],"effective":[24],"method":[25,96,136,161,206,294],"to":[26,63,120,165,239,306,321,331],"analyze":[27],"and":[28,41,69,126,188,233,263,280,317,337],"mine":[29],"However,":[31],"when":[32,110],"today\u2019s":[33],"data":[34,42,118,195,230,315],"volume":[35],"getting":[37],"larger,":[38],"visual":[39,95,152,357,368],"clutter":[40,153,180,358],"clarity":[43],"become":[44],"two":[45,100,278,284],"main":[48,82],"challenges":[49],"in":[50,123,154,193,207,241,246,270,313,348,359],"parallel":[51,173],"coordinates":[52,144,174],"plot.":[53],"Although":[54],"Arc":[55],"(ACP)":[58],"approach":[62,90,220],"address":[64],"these":[65],"challenges,":[66],"few":[67],"optimization":[68,164],"improvement":[70,93,106],"have":[71],"been":[72],"made":[73],"on":[74,84,104,138,212,256,296],"it.":[75],"this":[77],"paper,":[78],"we":[79,197,290,326],"do":[80,346],"three":[81],"contributions":[83],"state-of-the-art":[86],"PCP":[87],"methods.":[88],"One":[89],"itself.":[97],"other":[99],"approaches":[101,343],"are":[102],"mainly":[103,302],"perceptual":[108],"scalability":[109],"scale":[112],"or":[113],"dimensions":[115,236,279,285,312],"turn":[119],"be":[121],"large":[122],"some":[124],"mobile":[125],"wireless":[127],"practical":[128],"applications.":[129],"1)":[130],"We":[131,301],"present":[132],"improved":[134],"visualization":[135],"based":[137,211,255,295],"ACP,":[139,155],"termed":[140],"double":[142],"arc":[143],"plot":[145,175],"(DACP).":[146],"It":[147],"not":[148,344],"only":[149,345],"reduces":[150],"but":[156,352],"use":[157,303,327],"dimension-based":[159],"bundling":[160],"with":[162,167,287],"further":[163],"deals":[166],"issues":[169],"conventional":[172,361],"(PCP).":[176],"2)To":[177],"reduce":[178],"caused":[181],"by":[182],"order":[184],"axes":[187],"reveal":[189],"patterns":[190],"that":[191,341],"hidden":[192],"sets,":[196],"propose":[198,291],"our":[199,342],"first":[200],"dimensional":[201],"reordering":[202,293],"method,":[203,252],"contribution-based":[205],"DACP,":[208,336],"which":[209,253,363],"singular":[214],"value":[215],"decomposition":[216],"(SVD)":[217],"algorithm.":[218],"computes":[221],"importance":[223],"score":[224,245],"attributes":[226],"(dimensions)":[227],"using":[231],"SVD":[232,264,318],"visualize":[234],"from":[237],"left":[238],"right":[240],"DACP":[242],"according":[243],"SVD.":[247],"3)":[248],"Moreover,":[249],"similarity-based":[251],"combination":[258],"nonlinear":[260],"correlation":[261,276,298],"coefficient":[262],"algorithm,":[265],"proposed":[267],"well":[269,347],"paper.":[272],"To":[273],"measure":[274,322],"between":[277],"explains":[281],"how":[282],"interact":[286],"each":[288],"other,":[289],"non-linear":[297],"information":[299,305],"measurements.":[300],"mutual":[304],"calculate":[307],"partial":[309],"similarity":[310],"visualization,":[316],"used":[320],"global":[323],"Lastly,":[325],"five":[328],"case":[329],"scenarios":[330],"evaluate":[332],"effectiveness":[334],"results":[339],"show":[340],"visualizing":[349],"multivariate":[350],"dataset,":[351],"also":[353],"effectively":[354],"alleviate":[355],"PCP,":[362],"bring":[364],"users":[365],"better":[367],"experience.":[369]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}