{"id":"https://openalex.org/W2752202880","doi":"https://doi.org/10.1109/tvcg.2017.2745083","title":"Sequence Synopsis: Optimize Visual Summary of Temporal Event Data","display_name":"Sequence Synopsis: Optimize Visual Summary of Temporal Event Data","publication_year":2017,"publication_date":"2017-09-04","ids":{"openalex":"https://openalex.org/W2752202880","doi":"https://doi.org/10.1109/tvcg.2017.2745083","mag":"2752202880","pmid":"https://pubmed.ncbi.nlm.nih.gov/28885154"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2017.2745083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2745083","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5055175414","display_name":"Yuanzhe Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanzhe Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024059541","display_name":"Panpan Xu","orcid":"https://orcid.org/0000-0001-7966-2389"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panpan Xu","raw_affiliation_strings":["Bosch Research North America, Palo Alto, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Research North America, Palo Alto, CA","institution_ids":["https://openalex.org/I4210120115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103725392","display_name":"Liu Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liu Ren","raw_affiliation_strings":["Bosch Research North America, Palo Alto, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Research North America, Palo Alto, CA","institution_ids":["https://openalex.org/I4210120115"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2391,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.96618613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"45","last_page":"55"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9703999757766724,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9661999940872192,"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":0.8553056716918945},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7347500920295715},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7296571731567383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6564606428146362},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5840927958488464},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5553377270698547},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5367160439491272},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.49979352951049805},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.47424808144569397},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.42352554202079773},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4161393642425537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3452693223953247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33964860439300537},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.1998843550682068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8553056716918945},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7347500920295715},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7296571731567383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6564606428146362},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5840927958488464},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5553377270698547},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5367160439491272},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.49979352951049805},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.47424808144569397},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.42352554202079773},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4161393642425537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3452693223953247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33964860439300537},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.1998843550682068},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2017.2745083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2745083","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:28885154","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28885154","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":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522502157","https://openalex.org/W1523794535","https://openalex.org/W1559945916","https://openalex.org/W1580101844","https://openalex.org/W1585280831","https://openalex.org/W1656722466","https://openalex.org/W1736726159","https://openalex.org/W1920440479","https://openalex.org/W1949384561","https://openalex.org/W1953652583","https://openalex.org/W1987332428","https://openalex.org/W1988711344","https://openalex.org/W2009858410","https://openalex.org/W2014577670","https://openalex.org/W2019676294","https://openalex.org/W2023357311","https://openalex.org/W2030142516","https://openalex.org/W2031915852","https://openalex.org/W2032779105","https://openalex.org/W2036859301","https://openalex.org/W2040352438","https://openalex.org/W2044222306","https://openalex.org/W2044240216","https://openalex.org/W2049758109","https://openalex.org/W2057444996","https://openalex.org/W2057900969","https://openalex.org/W2101460669","https://openalex.org/W2106441507","https://openalex.org/W2108781142","https://openalex.org/W2109076134","https://openalex.org/W2113081107","https://openalex.org/W2122060742","https://openalex.org/W2126907894","https://openalex.org/W2128938146","https://openalex.org/W2138199375","https://openalex.org/W2141920797","https://openalex.org/W2142349824","https://openalex.org/W2142865875","https://openalex.org/W2167338201","https://openalex.org/W2167917691","https://openalex.org/W2170083989","https://openalex.org/W2183845744","https://openalex.org/W2225771498","https://openalex.org/W2297826358","https://openalex.org/W2336882399","https://openalex.org/W2344498319","https://openalex.org/W2408574227","https://openalex.org/W2510476599","https://openalex.org/W2516807252","https://openalex.org/W2600662290","https://openalex.org/W2626561790","https://openalex.org/W2750514987","https://openalex.org/W3123545922","https://openalex.org/W4300601563","https://openalex.org/W6631235637","https://openalex.org/W6633565781","https://openalex.org/W6697180670","https://openalex.org/W6743187070"],"related_works":["https://openalex.org/W2362367986","https://openalex.org/W3041760129","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2923661510","https://openalex.org/W2081749267","https://openalex.org/W2116732611","https://openalex.org/W2080934634"],"abstract_inverted_index":{"Event":[0],"sequences":[1],"analysis":[2,19,177],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,82,90,101,125,178],"many":[8],"application":[9,167],"domains":[10],"such":[11,49,119],"as":[12,120],"customer":[13],"behavior":[14],"analysis,":[15],"electronic":[16],"health":[17],"record":[18],"and":[20,31,110,113,150,188],"vehicle":[21],"fault":[22,174],"diagnosis.":[23],"Real-world":[24],"event":[25,35,74,170],"sequence":[26,75,108,171],"data":[27,76,144],"is":[28,114],"often":[29],"noisy":[30],"complex":[32],"with":[33,138,158],"high":[34],"cardinality,":[36],"making":[37],"it":[38],"a":[39,56,70,87,102,134,165],"challenging":[40],"task":[41],"to":[42,68,117,141],"construct":[43,69],"concise":[44],"yet":[45],"comprehensive":[46],"overviews":[47],"for":[48,169,180],"data.":[50,127],"In":[51],"this":[52,130],"paper,":[53],"we":[54,132],"propose":[55,133],"novel":[57],"visualization":[58,91],"technique":[59],"based":[60,194],"on":[61,129,195],"the":[62,79,98,126,148,186,191],"minimum":[63],"description":[64],"length":[65],"(MDL)":[66],"principle":[67],"coarse-level":[71],"overview":[72],"of":[73,152,190],"while":[77],"balancing":[78],"information":[80,99],"loss":[81],"it.":[83],"The":[84,104],"method":[85,105,193],"addresses":[86],"fundamental":[88],"trade-off":[89],"design:":[92],"reducing":[93],"visual":[94,135],"clutter":[95],"vs.":[96],"increasing":[97],"content":[100],"visualization.":[103],"enables":[106],"simultaneous":[107],"clustering":[109],"pattern":[111],"extraction":[112],"highly":[115],"tolerant":[116],"noises":[118],"missing":[121],"or":[122],"additional":[123],"events":[124],"Based":[128],"approach":[131,154],"analytics":[136],"framework":[137],"multiple":[139],"levels-of-detail":[140],"facilitate":[142],"interactive":[143],"exploration.":[145],"We":[146,183],"demonstrate":[147],"usability":[149],"effectiveness":[151],"our":[153],"through":[155],"case":[156],"studies":[157],"two":[159],"real-world":[160],"datasets.":[161],"One":[162],"dataset":[163],"showcases":[164],"new":[166],"domain":[168],"visualization,":[172],"i.e.,":[173],"development":[175],"path":[176],"vehicles":[179],"predictive":[181],"maintenance.":[182],"also":[184],"discuss":[185],"strengths":[187],"limitations":[189],"proposed":[192],"user":[196],"feedback.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}