{"id":"https://openalex.org/W1582654626","doi":"https://doi.org/10.1186/s40537-015-0022-3","title":"Cabinet Tree: an orthogonal enclosure approach to visualizing and exploring big data","display_name":"Cabinet Tree: an orthogonal enclosure approach to visualizing and exploring big data","publication_year":2015,"publication_date":"2015-07-21","ids":{"openalex":"https://openalex.org/W1582654626","doi":"https://doi.org/10.1186/s40537-015-0022-3","mag":"1582654626"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-015-0022-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-015-0022-3","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-015-0022-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-015-0022-3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050126617","display_name":"Yalong Yang","orcid":"https://orcid.org/0000-0001-9414-9911"},"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"]},{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]},{"id":"https://openalex.org/I4210114009","display_name":"Caulfield Hospital","ror":"https://ror.org/01fcxf261","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I4210114009","https://openalex.org/I4210163178"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Yalong Yang","raw_affiliation_strings":["Caulfield School of Information Technology, Monash University, 900 Dandenong Road, Caulfield East, Melbourne, 3145, Australia","School of Computer Software, Tianjin University, 92 Weijin Road, Tianjin, 300072, China","Tianjin University","Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Caulfield School of Information Technology, Monash University, 900 Dandenong Road, Caulfield East, Melbourne, 3145, Australia","institution_ids":["https://openalex.org/I4210114009"]},{"raw_affiliation_string":"School of Computer Software, Tianjin University, 92 Weijin Road, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin University","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432244","display_name":"Kang Zhang","orcid":"https://orcid.org/0000-0003-3802-7535"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Zhang","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, 800 West Campbell Road, Richardson, 75080-3021, TX, USA","Department of Computer Science, The University of Texas at Dallas, Richardson, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, 800 West Campbell Road, Richardson, 75080-3021, TX, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003658","display_name":"Jianrong Wang","orcid":"https://orcid.org/0000-0002-8980-1634"},"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":"Jianrong Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, 92 Weijin Road, Tianjin, 300072, China","Tianjin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, 92 Weijin Road, Tianjin, 300072, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052630735","display_name":"Quang Vinh Nguy\u1ec5n","orcid":"https://orcid.org/0000-0002-0815-6224"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quang Vinh Nguyen","raw_affiliation_strings":["MARCS Institute and School of Computing, Eng. and Maths, University of Western Sydney, 179 Locked Bag, South Penrith DC, Sydney, 2751, Australia","MARCS Institute and School of Computing, Eng. and Maths, University of Western Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MARCS Institute and School of Computing, Eng. and Maths, University of Western Sydney, 179 Locked Bag, South Penrith DC, Sydney, 2751, Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"MARCS Institute and School of Computing, Eng. and Maths, University of Western Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050126617"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I2801239119","https://openalex.org/I4210114009","https://openalex.org/I56590836"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.7486,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78312759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2","issue":"1","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":1.0,"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":1.0,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9750999808311462,"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/computer-science","display_name":"Computer science","score":0.8622595071792603},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7219942212104797},{"id":"https://openalex.org/keywords/cabinet","display_name":"Cabinet (room)","score":0.6697536706924438},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5274869799613953},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5161322355270386},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.49181321263313293},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4212193191051483},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4176919758319855},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41071611642837524},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39079388976097107},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38143983483314514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24096345901489258},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15136808156967163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622595071792603},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7219942212104797},{"id":"https://openalex.org/C54745167","wikidata":"https://www.wikidata.org/wiki/Q1515062","display_name":"Cabinet (room)","level":2,"score":0.6697536706924438},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5274869799613953},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5161322355270386},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49181321263313293},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4212193191051483},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4176919758319855},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41071611642837524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39079388976097107},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38143983483314514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24096345901489258},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15136808156967163},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-015-0022-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-015-0022-3","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-015-0022-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-159871","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-159871","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1186/s40537-015-0022-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-015-0022-3","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-015-0022-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1582654626.pdf","grobid_xml":"https://content.openalex.org/works/W1582654626.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W140895219","https://openalex.org/W1607587848","https://openalex.org/W1735790193","https://openalex.org/W1969684495","https://openalex.org/W2001458422","https://openalex.org/W2018444363","https://openalex.org/W2019757102","https://openalex.org/W2025092066","https://openalex.org/W2029330339","https://openalex.org/W2043262812","https://openalex.org/W2052606569","https://openalex.org/W2083896568","https://openalex.org/W2089463122","https://openalex.org/W2090278973","https://openalex.org/W2102798042","https://openalex.org/W2105474021","https://openalex.org/W2106588364","https://openalex.org/W2110641362","https://openalex.org/W2111421274","https://openalex.org/W2112125769","https://openalex.org/W2112426855","https://openalex.org/W2116984520","https://openalex.org/W2118331541","https://openalex.org/W2121760846","https://openalex.org/W2121955354","https://openalex.org/W2125227611","https://openalex.org/W2128496306","https://openalex.org/W2135361094","https://openalex.org/W2135415614","https://openalex.org/W2138199375","https://openalex.org/W2141894283","https://openalex.org/W2143193594","https://openalex.org/W2146872957","https://openalex.org/W2150925050","https://openalex.org/W2154504498","https://openalex.org/W2170606151","https://openalex.org/W2296269484","https://openalex.org/W2415316393","https://openalex.org/W3003834643","https://openalex.org/W4230696817","https://openalex.org/W4234779140","https://openalex.org/W4242039080","https://openalex.org/W4244857585","https://openalex.org/W4245022905","https://openalex.org/W4245891287","https://openalex.org/W4247556202","https://openalex.org/W4253932798"],"related_works":["https://openalex.org/W2501469987","https://openalex.org/W4255516540","https://openalex.org/W2466009385","https://openalex.org/W4255186370","https://openalex.org/W4239115058","https://openalex.org/W2473974764","https://openalex.org/W1600996553","https://openalex.org/W4249077291","https://openalex.org/W626558242","https://openalex.org/W2505983936"],"abstract_inverted_index":{"Abstract":[0],"Treemaps":[1,33],"are":[2],"well-known":[3],"for":[4,37,62,115],"visualizing":[5],"hierarchical":[6],"data.":[7],"Most":[8],"related":[9],"approaches":[10],"have":[11],"been":[12],"focused":[13],"on":[14],"layout":[15,61],"algorithms":[16],"and":[17,25,64,72,79,91,118],"paid":[18],"little":[19],"attention":[20],"to":[21,39,53,75,95],"other":[22],"display":[23],"properties":[24],"interactions.":[26],"Furthermore,":[27],"the":[28,66,87,103],"structural":[29],"information":[30],"in":[31],"conventional":[32],"is":[34],"too":[35],"implicit":[36],"viewers":[38],"perceive.":[40],"This":[41],"paper":[42],"presents":[43],"Cabinet":[44,110],"Tree,":[45],"an":[46],"approach":[47],"that:":[48],"i)":[49],"draws":[50],"branches":[51],"explicitly":[52],"show":[54],"relational":[55],"structures,":[56],"ii)":[57],"adapts":[58],"a":[59],"space-optimized":[60],"leaves":[63],"maximizes":[65],"space":[67],"utilization,":[68],"iii)":[69],"uses":[70],"coloring":[71],"labeling":[73],"strategies":[74],"clearly":[76],"reveal":[77],"patterns":[78],"contrast":[80],"different":[81,100],"attributes":[82],"intuitively.":[83],"We":[84],"also":[85],"apply":[86],"continuous":[88],"node":[89],"selection":[90],"detail":[92],"window":[93],"techniques":[94],"support":[96],"user":[97],"interaction":[98],"with":[99],"levels":[101],"of":[102],"hierarchies.":[104],"Our":[105],"quantitative":[106],"evaluations":[107],"demonstrate":[108],"that":[109],"Tree":[111],"achieves":[112],"good":[113],"scalability":[114],"increased":[116],"resolutions":[117],"big":[119],"datasets.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
