{"id":"https://openalex.org/W2791620354","doi":"https://doi.org/10.3390/e20030159","title":"IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering","display_name":"IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2791620354","doi":"https://doi.org/10.3390/e20030159","mag":"2791620354","pmid":"https://pubmed.ncbi.nlm.nih.gov/33265250"},"language":"en","primary_location":{"id":"doi:10.3390/e20030159","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20030159","pdf_url":"https://www.mdpi.com/1099-4300/20/3/159/pdf?version=1520488715","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/20/3/159/pdf?version=1520488715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023978917","display_name":"Yuejun Guo","orcid":"https://orcid.org/0000-0002-5535-2420"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"Universitat de Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Yuejun Guo","raw_affiliation_strings":["Department of Inform\u00e0tica i Matem\u00e0tica Aplicada, University of Girona, 17071 Girona, Spain"],"raw_orcid":"https://orcid.org/0000-0002-5535-2420","affiliations":[{"raw_affiliation_string":"Department of Inform\u00e0tica i Matem\u00e0tica Aplicada, University of Girona, 17071 Girona, Spain","institution_ids":["https://openalex.org/I251424209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077573837","display_name":"Qing Xu","orcid":"https://orcid.org/0000-0002-8243-6670"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qing Xu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin 300350, China"],"raw_orcid":"https://orcid.org/0000-0002-8243-6670","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin 300350, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045086893","display_name":"Mateu Sbert","orcid":"https://orcid.org/0000-0003-2164-6858"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"Universitat de Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Mateu Sbert","raw_affiliation_strings":["Department of Inform\u00e0tica i Matem\u00e0tica Aplicada, University of Girona, 17071 Girona, Spain","School of Computer Science and Technology, Tianjin University, Tianjin 300350, China"],"raw_orcid":"https://orcid.org/0000-0003-2164-6858","affiliations":[{"raw_affiliation_string":"Department of Inform\u00e0tica i Matem\u00e0tica Aplicada, University of Girona, 17071 Girona, Spain","institution_ids":["https://openalex.org/I251424209"]},{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin 300350, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045086893","https://openalex.org/A5077573837"],"corresponding_institution_ids":["https://openalex.org/I251424209"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.104,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40903647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"3","first_page":"159","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9973999857902527,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"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/cluster-analysis","display_name":"Cluster analysis","score":0.881616473197937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7973143458366394},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7875708341598511},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.7668415307998657},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7664133310317993},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6349711418151855},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6280485391616821},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.49434638023376465},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4699300229549408},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45093995332717896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.329231858253479},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.26994407176971436}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.881616473197937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973143458366394},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7875708341598511},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.7668415307998657},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7664133310317993},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6349711418151855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6280485391616821},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.49434638023376465},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4699300229549408},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45093995332717896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.329231858253479},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26994407176971436},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e20030159","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20030159","pdf_url":"https://www.mdpi.com/1099-4300/20/3/159/pdf?version=1520488715","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33265250","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33265250","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:dnet:dugidocsuniv::95367204cf603c184328d6be95c89f5d","is_oa":true,"landing_page_url":"http://hdl.handle.net/10256/15124","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:ffbaea72a6b345869865c456df5b8453","is_oa":true,"landing_page_url":"https://doaj.org/article/ffbaea72a6b345869865c456df5b8453","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 20, Iss 3, p 159 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/20/3/159/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e20030159","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 20; Issue 3; Pages: 159","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7512675","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7512675","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e20030159","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20030159","pdf_url":"https://www.mdpi.com/1099-4300/20/3/159/pdf?version=1520488715","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1072600101","display_name":null,"funder_award_id":"61179067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5640373591","display_name":null,"funder_award_id":"61771335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321505","display_name":"Generalitat de Catalunya","ror":"https://ror.org/01bg62x04"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2791620354.pdf","grobid_xml":"https://content.openalex.org/works/W2791620354.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1004198444","https://openalex.org/W1520667079","https://openalex.org/W1622017247","https://openalex.org/W1673310716","https://openalex.org/W1814491495","https://openalex.org/W1960686809","https://openalex.org/W1967086114","https://openalex.org/W1994882049","https://openalex.org/W2009858410","https://openalex.org/W2011430131","https://openalex.org/W2023622049","https://openalex.org/W2029661605","https://openalex.org/W2036721747","https://openalex.org/W2046466133","https://openalex.org/W2056911178","https://openalex.org/W2071949039","https://openalex.org/W2095897464","https://openalex.org/W2098759488","https://openalex.org/W2103933565","https://openalex.org/W2122646361","https://openalex.org/W2126194848","https://openalex.org/W2127218421","https://openalex.org/W2133649345","https://openalex.org/W2135979612","https://openalex.org/W2143559571","https://openalex.org/W2146950091","https://openalex.org/W2150879893","https://openalex.org/W2153940791","https://openalex.org/W2155833512","https://openalex.org/W2163145488","https://openalex.org/W2299778380","https://openalex.org/W2405656763","https://openalex.org/W2495571292","https://openalex.org/W2526144852","https://openalex.org/W2726748953","https://openalex.org/W6675471587","https://openalex.org/W6682832954"],"related_works":["https://openalex.org/W1504394672","https://openalex.org/W2622284819","https://openalex.org/W3089381707","https://openalex.org/W3034190530","https://openalex.org/W4285254085","https://openalex.org/W2741297526","https://openalex.org/W4295728955","https://openalex.org/W4210310791","https://openalex.org/W3129794609","https://openalex.org/W2062940763"],"abstract_inverted_index":{"Analyzing":[0],"trajectory":[1,37,72,107,163,176],"data":[2,73,164],"plays":[3],"an":[4,48,93,102],"important":[5],"role":[6],"in":[7,39,185],"practical":[8],"applications,":[9],"and":[10,47,74,121,138,143,174,199],"clustering":[11,24,65,75,124,141],"is":[12,196],"one":[13],"of":[14,44,63,70,105,119,158,180],"the":[15,45,60,116,122,140,146,190],"most":[16],"widely":[17],"used":[18],"techniques":[19],"for":[20,36,160,168,201],"this":[21,86,89,149],"task.":[22],"The":[23,178],"approach":[25],"based":[26],"on":[27,152],"information":[28],"bottleneck":[29],"(IB)":[30],"principle":[31],"has":[32,182],"shown":[33],"its":[34],"effectiveness":[35],"data,":[38],"which":[40],"a":[41,81],"predefined":[42],"number":[43],"clusters":[46],"explicit":[49],"distance":[50],"measure":[51],"between":[52],"trajectories":[53],"are":[54],"not":[55],"required.":[56],"However,":[57],"presenting":[58],"directly":[59],"final":[61],"results":[62],"IB":[64,120,159],"gives":[66],"no":[67],"clear":[68],"idea":[69],"both":[71],"process.":[76],"Visual":[77],"analytics":[78,96],"actually":[79],"provides":[80,110],"powerful":[82],"methodology":[83],"to":[84,100,113,136,144,154,171],"address":[85],"issue.":[87],"In":[88,148,188],"paper,":[90],"we":[91],"present":[92,115],"interactive":[94],"visual":[95],"prototype":[97],"called":[98],"IBVis":[99,109,181,195],"supply":[101],"expressive":[103],"investigation":[104],"IB-based":[106],"clustering.":[108],"various":[111],"views":[112,131],"graphically":[114],"key":[117],"components":[118],"current":[123],"results.":[125,147],"Rich":[126],"user":[127,192],"interactions":[128],"drive":[129],"different":[130,161],"work":[132],"together,":[133],"so":[134],"as":[135],"monitor":[137],"steer":[139],"procedure":[142],"refine":[145],"way,":[150],"insights":[151],"how":[153],"make":[155],"better":[156,172],"use":[157],"featured":[162],"can":[165],"be":[166],"gained":[167],"users,":[169],"leading":[170],"analyzing":[173],"understanding":[175],"data.":[177],"applicability":[179],"been":[183],"evidenced":[184],"usage":[186],"scenarios.":[187],"addition,":[189],"conducted":[191],"study":[193],"shows":[194],"well":[197],"designed":[198],"helpful":[200],"users.":[202]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}