{"id":"https://openalex.org/W2002701075","doi":"https://doi.org/10.1109/isi.2013.6578783","title":"From when and what to where: Linking spatio-temporal visualizations in visual analytics","display_name":"From when and what to where: Linking spatio-temporal visualizations in visual analytics","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2002701075","doi":"https://doi.org/10.1109/isi.2013.6578783","mag":"2002701075"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2013.6578783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2013.6578783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Intelligence and Security Informatics","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/A5100409186","display_name":"Yingjie Chen","orcid":"https://orcid.org/0000-0001-6705-3535"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yingjie Victor Chen","raw_affiliation_strings":["Computer Graphics Technology, Purdue University, West Lafayette, IN, USA","Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Computer Graphics Technology, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101738811","display_name":"Zhenyu Cheryl Qian","orcid":"https://orcid.org/0000-0002-7310-8608"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyu Cheryl Qian","raw_affiliation_strings":["Interaction Design, Purdue University, West Lafayette, IN, USA","Interaction Design, Purdue Univ., West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Interaction Design, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Interaction Design, Purdue Univ., West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100409186"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57897055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"39","last_page":"44"},"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9763000011444092,"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/computer-science","display_name":"Computer science","score":0.7989089488983154},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7192245721817017},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.716846227645874},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6562562584877014},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5727927684783936},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.5721345543861389},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5520772933959961},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49779295921325684},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46235451102256775},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4610013961791992},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.4460257589817047},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4372750222682953},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4342975318431854},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37929800152778625},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.25732341408729553},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1695776879787445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11239239573478699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989089488983154},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7192245721817017},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.716846227645874},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6562562584877014},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5727927684783936},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.5721345543861389},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5520772933959961},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49779295921325684},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46235451102256775},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4610013961791992},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.4460257589817047},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4372750222682953},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4342975318431854},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37929800152778625},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.25732341408729553},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1695776879787445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11239239573478699},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2013.6578783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2013.6578783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Intelligence and Security Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1487235154","https://openalex.org/W1977497913","https://openalex.org/W1982397956","https://openalex.org/W2019966888","https://openalex.org/W2044145621","https://openalex.org/W2058148593","https://openalex.org/W2095150117","https://openalex.org/W2095351408","https://openalex.org/W2103201239","https://openalex.org/W2107993771","https://openalex.org/W2124262094","https://openalex.org/W2125793385","https://openalex.org/W2130673717","https://openalex.org/W2133884005","https://openalex.org/W2138199375","https://openalex.org/W2166279335","https://openalex.org/W2166432599","https://openalex.org/W2345124655","https://openalex.org/W2574519416","https://openalex.org/W2950416404","https://openalex.org/W3146166473","https://openalex.org/W4205525631","https://openalex.org/W4241115065","https://openalex.org/W6674657515","https://openalex.org/W6679554851"],"related_works":["https://openalex.org/W2888733525","https://openalex.org/W2147539779","https://openalex.org/W1995144346","https://openalex.org/W3022092363","https://openalex.org/W1984700945","https://openalex.org/W3043419493","https://openalex.org/W2171519016","https://openalex.org/W2564910138","https://openalex.org/W1991558104","https://openalex.org/W2906663394"],"abstract_inverted_index":{"This":[0,132,156],"paper":[1],"proposes":[2],"an":[3,16],"autolinking":[4,107],"approach":[5,133,157],"to":[6,38,48,82,144,151],"help":[7],"analysts":[8,57],"investigate":[9],"spatial":[10,51],"details":[11],"of":[12,21,43,71,115,138,178],"suspicious":[13],"sections":[14],"from":[15],"overview":[17,70],"temporal":[18,41,69],"visualization.":[19],"Analysis":[20],"spatial-temporal":[22],"network":[23],"security":[24],"data":[25,45],"takes":[26],"place":[27],"both":[28],"conditionally":[29],"and":[30,46,73,174],"in":[31,91,160],"sequence.":[32],"Many":[33],"systems":[34],"use":[35,179],"time-series":[36,65,93],"curves":[37,66],"visualize":[39],"the":[40,44,50,56,74,77,80,106,110,118,123,127,135,139,146,152,181],"perspectives":[42],"maps":[47],"show":[49],"information.":[52],"To":[53],"identify":[54],"anomalies,":[55],"frequently":[58],"shift":[59],"across":[60],"different":[61],"visualizations.":[62],"In":[63,167],"essence,":[64],"provide":[67],"a":[68,92,96,98,100,103,113,116],"data,":[72],"map":[75,128],"anchors":[76],"locations":[78],"for":[79,85,129],"users":[81],"drill":[83],"down":[84],"details.":[86],"Anomalies":[87],"may":[88],"be":[89],"reflected":[90],"curve":[94],"as":[95],"jump,":[97],"dive,":[99],"peak,":[101],"or":[102],"valley.":[104],"With":[105],"mechanism,":[108],"after":[109],"analyst":[111],"selects":[112],"segment":[114],"curve,":[117],"system":[119,165],"can":[120],"automatically":[121],"highlight":[122],"related":[124],"area":[125],"on":[126],"further":[130],"investigation.":[131],"adopts":[134],"slicing":[136],"operation":[137],"Online":[140],"Analytical":[141],"Process":[142],"(OLAP)":[143],"find":[145],"basic":[147],"granularities":[148],"that":[149],"contribute":[150],"overall":[153],"value":[154],"change.":[155],"is":[158],"implemented":[159],"our":[161],"award-winning":[162],"visual":[163],"analytics":[164],"SemanticPrism.":[166],"this":[168],"paper,":[169],"we":[170],"describe":[171],"its":[172],"structure":[173],"demonstrate":[175],"three":[176],"examples":[177],"with":[180],"VAST":[182],"2012":[183],"Minichallenge":[184],"1":[185],"data.":[186]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}