{"id":"https://openalex.org/W3010390614","doi":"https://doi.org/10.1145/3377325.3377516","title":"With respect to what?","display_name":"With respect to what?","publication_year":2020,"publication_date":"2020-03-04","ids":{"openalex":"https://openalex.org/W3010390614","doi":"https://doi.org/10.1145/3377325.3377516","mag":"3010390614"},"language":"en","primary_location":{"id":"doi:10.1145/3377325.3377516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377325.3377516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Intelligent User Interfaces","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/A5061311189","display_name":"John Wenskovitch","orcid":"https://orcid.org/0000-0002-0573-6442"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Wenskovitch","raw_affiliation_strings":["Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056817428","display_name":"Michelle Dowling","orcid":"https://orcid.org/0000-0002-2572-1133"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle Dowling","raw_affiliation_strings":["Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037675411","display_name":"Chris North","orcid":"https://orcid.org/0000-0002-8786-7103"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris North","raw_affiliation_strings":["Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061311189"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":1.2701,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82017544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"188"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9811000227928162,"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":0.764610767364502},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.730003833770752},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6583389639854431},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6379176378250122},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.632266640663147},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6001977324485779},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5819749236106873},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5763554573059082},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5513267517089844},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5129024982452393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5039312243461609},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.49157413840293884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4336094856262207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4312136471271515},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.38192665576934814},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37223485112190247},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34728801250457764},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3381388187408447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1293756365776062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09811955690383911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.764610767364502},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.730003833770752},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6583389639854431},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6379176378250122},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.632266640663147},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6001977324485779},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5819749236106873},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5763554573059082},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5513267517089844},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5129024982452393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5039312243461609},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.49157413840293884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4336094856262207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4312136471271515},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.38192665576934814},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37223485112190247},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34728801250457764},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3381388187408447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1293756365776062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09811955690383911},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377325.3377516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377325.3377516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Intelligent User Interfaces","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":63,"referenced_works":["https://openalex.org/W1516746461","https://openalex.org/W1571401318","https://openalex.org/W1617495083","https://openalex.org/W1836550785","https://openalex.org/W1963992598","https://openalex.org/W1990293817","https://openalex.org/W1990517717","https://openalex.org/W1991676464","https://openalex.org/W1993503217","https://openalex.org/W2005948381","https://openalex.org/W2021066455","https://openalex.org/W2037027640","https://openalex.org/W2037133710","https://openalex.org/W2041420722","https://openalex.org/W2050469140","https://openalex.org/W2051088039","https://openalex.org/W2055794105","https://openalex.org/W2061745787","https://openalex.org/W2062052951","https://openalex.org/W2064210461","https://openalex.org/W2067483552","https://openalex.org/W2087382273","https://openalex.org/W2088003405","https://openalex.org/W2089621285","https://openalex.org/W2090491854","https://openalex.org/W2097244784","https://openalex.org/W2099242680","https://openalex.org/W2103849884","https://openalex.org/W2104371487","https://openalex.org/W2105552354","https://openalex.org/W2111799631","https://openalex.org/W2132429517","https://openalex.org/W2134105458","https://openalex.org/W2146388339","https://openalex.org/W2148585001","https://openalex.org/W2152621157","https://openalex.org/W2153233077","https://openalex.org/W2153312812","https://openalex.org/W2156846700","https://openalex.org/W2159205441","https://openalex.org/W2159504010","https://openalex.org/W2161133721","https://openalex.org/W2161381700","https://openalex.org/W2162825485","https://openalex.org/W2166583218","https://openalex.org/W2185918886","https://openalex.org/W2323909273","https://openalex.org/W2340140781","https://openalex.org/W2423553421","https://openalex.org/W2509389651","https://openalex.org/W2512177572","https://openalex.org/W2517066960","https://openalex.org/W2574713010","https://openalex.org/W2612590777","https://openalex.org/W2753396776","https://openalex.org/W2753426599","https://openalex.org/W2808343117","https://openalex.org/W2888244365","https://openalex.org/W2912360407","https://openalex.org/W2969832087","https://openalex.org/W3003728098","https://openalex.org/W3120740533","https://openalex.org/W4389739628"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386","https://openalex.org/W3117538987"],"abstract_inverted_index":{"Direct":[0],"manipulation":[1],"interactions":[2,13,61,153],"on":[3],"projections":[4],"are":[5],"often":[6],"incorporated":[7],"in":[8,23,94],"visual":[9],"analytics":[10],"applications.":[11],"These":[12],"enable":[14],"analysts":[15],"to":[16,20,33,63,86,91],"provide":[17],"incremental":[18],"feedback":[19],"the":[21,30,36,40,44,56,70,78,98,113,117,141],"system":[22,71],"a":[24,47,54,64,150],"semi-supervised":[25,121],"manner,":[26],"demonstrating":[27],"relationships":[28],"that":[29,69],"analyst":[31,45,51],"wishes":[32],"find":[34],"within":[35],"data.":[37],"However,":[38,97],"determining":[39],"precise":[41],"intent":[42],"of":[43,59,66,80,100,120,135,145,152],"is":[46],"challenge.":[48],"When":[49],"an":[50,83],"interacts":[52],"with":[53],"projection,":[55],"inherent":[57],"ambiguity":[58],"some":[60],"leads":[62],"variety":[65],"possible":[67],"interpretations":[68],"could":[72],"infer.":[73],"Previous":[74],"work":[75],"has":[76],"demonstrated":[77],"utility":[79],"clusters":[81,101],"as":[82,106],"interaction":[84,103,114,133],"target":[85],"address":[87],"this":[88,109,128,155],"\"With":[89],"Respect":[90],"What\"":[92],"problem":[93],"dimension-reduced":[95],"projections.":[96],"introduction":[99],"introduces":[102],"inference":[104],"challenges":[105,134],"well.":[107],"In":[108],"work,":[110],"we":[111,130],"discuss":[112],"space":[115],"for":[116],"simultaneous":[118],"use":[119],"dimension":[122],"reduction":[123],"and":[124,143,148],"clustering":[125],"algorithms.":[126],"Within":[127],"exploration,":[129],"highlight":[131],"existing":[132],"such":[136],"interactive":[137],"analytical":[138],"systems,":[139],"describe":[140],"benefits":[142],"drawbacks":[144],"introducing":[146],"clustering,":[147],"demonstrate":[149],"set":[151],"from":[154],"space.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}