{"id":"https://openalex.org/W3160497329","doi":"https://doi.org/10.1109/tbdata.2021.3079200","title":"EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces","display_name":"EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces","publication_year":2021,"publication_date":"2021-05-11","ids":{"openalex":"https://openalex.org/W3160497329","doi":"https://doi.org/10.1109/tbdata.2021.3079200","mag":"3160497329"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2021.3079200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2021.3079200","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-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/A5015625058","display_name":"Guodao Sun","orcid":"https://orcid.org/0000-0002-8383-8153"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodao Sun","raw_affiliation_strings":["Zhejiang University of Technology, HangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, HangZhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035339066","display_name":"Sujia Zhu","orcid":"https://orcid.org/0000-0002-9109-9872"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sujia Zhu","raw_affiliation_strings":["Zhejiang University of Technology, HangZhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9109-9872","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, HangZhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695159","display_name":"Qi Jiang","orcid":"https://orcid.org/0000-0002-2732-1571"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Jiang","raw_affiliation_strings":["Zhejiang University of Technology, HangZhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2732-1571","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, HangZhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397888","display_name":"Xia Wang","orcid":"https://orcid.org/0000-0001-5655-2291"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Xia","raw_affiliation_strings":["Zhejiang University of Technology, HangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, HangZhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001531117","display_name":"Ronghua Liang","orcid":"https://orcid.org/0000-0003-2077-9608"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Liang","raw_affiliation_strings":["Zhejiang University of Technology, HangZhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2077-9608","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, HangZhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.7763,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73197239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":"6","first_page":"1566","last_page":"1579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.998199999332428,"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":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9653000235557556,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8596886396408081},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7347875833511353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.705337643623352},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6386303901672363},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47828373312950134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47039875388145447},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4227524697780609},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3810468018054962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22284576296806335}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8596886396408081},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7347875833511353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705337643623352},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6386303901672363},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47828373312950134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47039875388145447},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4227524697780609},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3810468018054962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22284576296806335},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2021.3079200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2021.3079200","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G165409281","display_name":"\u9762\u5411\u5927\u89c4\u6a21\u77ed\u6587\u672c\u6570\u636e\u7684\u65f6\u7a7a\u8bed\u4e49\u7406\u89e3\u548c\u53ef\u89c6\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972356","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2861150812","display_name":null,"funder_award_id":"62036009","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1540016502","https://openalex.org/W1563099561","https://openalex.org/W1673310716","https://openalex.org/W1945230793","https://openalex.org/W1951518548","https://openalex.org/W1965102791","https://openalex.org/W1977810187","https://openalex.org/W2006533296","https://openalex.org/W2011735049","https://openalex.org/W2014347547","https://openalex.org/W2031281270","https://openalex.org/W2046945904","https://openalex.org/W2048183727","https://openalex.org/W2057753721","https://openalex.org/W2066898552","https://openalex.org/W2067752346","https://openalex.org/W2079361215","https://openalex.org/W2085995966","https://openalex.org/W2089468765","https://openalex.org/W2098996270","https://openalex.org/W2119452648","https://openalex.org/W2121887149","https://openalex.org/W2125775272","https://openalex.org/W2128999403","https://openalex.org/W2133136052","https://openalex.org/W2152621157","https://openalex.org/W2157379557","https://openalex.org/W2159205441","https://openalex.org/W2170280625","https://openalex.org/W2181629642","https://openalex.org/W2345907131","https://openalex.org/W2517066960","https://openalex.org/W2575781893","https://openalex.org/W2586761003","https://openalex.org/W2592128618","https://openalex.org/W2660674426","https://openalex.org/W2732406731","https://openalex.org/W2751305043","https://openalex.org/W2761926807","https://openalex.org/W2896302278","https://openalex.org/W2906112079","https://openalex.org/W2943863288","https://openalex.org/W2970412667","https://openalex.org/W2971566752","https://openalex.org/W3037098067","https://openalex.org/W3212838649","https://openalex.org/W4226350789","https://openalex.org/W4238957295","https://openalex.org/W4241492945","https://openalex.org/W6644810804","https://openalex.org/W6685962498","https://openalex.org/W6732510986","https://openalex.org/W6739698863","https://openalex.org/W6780640855","https://openalex.org/W7006111876"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1,64,80,97,122,142,160,195],"is":[2,21,34],"commonly":[3],"used":[4],"for":[5,40,162],"identifying":[6],"and":[7,45,53,58,87,92,168,187,206,218],"analyzing":[8],"patterns":[9],"in":[10,26],"the":[11,60,75,90,130,138,148,151,154,158,166,192,209],"visual":[12,110],"analysis":[13],"of":[14,19,62,78,132,140,153,157,172,208],"multi-dimensional":[15,223],"datasets.":[16,224],"The":[17,124,204],"selection":[18],"subspaces":[20,67,119,198],"a":[22,38,108,215],"core":[23],"building":[24],"block":[25],"projecting":[27],"high-dimensional":[28],"data":[29],"to":[30,42,114,136],"low-dimensional":[31],"space,":[32],"which":[33],"usually":[35],"illustrated":[36],"as":[37],"scatterplot":[39],"analysts":[41],"easily":[43],"understand":[44,117],"explore.":[46],"This":[47],"process":[48],"involves":[49],"human":[50],"prior":[51],"knowledge":[52],"domain-specific":[54],"requirements.":[55],"Thus,":[56],"quantifying":[57],"tracking":[59,137],"changes":[61,77,171],"dimensionality":[63,79,96,121,141,159,194],"results":[65,81,143,161,196],"across":[66,144,197],"remain":[68],"challenging.":[69],"Existing":[70],"methods":[71],"can":[72],"neither":[73],"quantify":[74],"subsets-based":[76],"when":[82],"switching":[83],"subspaces,":[84],"nor":[85],"automatically":[86],"comprehensively":[88],"display":[89],"overall":[91,155],"subtle":[93],"differences":[94],"among":[95,191],"results.":[98,123],"To":[99],"address":[100],"this,":[101],"we":[102],"developed":[103],"<italic":[104,178],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105,179],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">EvoSets</i>":[106],",":[107],"novel":[109],"analytics":[111],"system":[112,149,210],"designed":[113],"help":[115],"users":[116,164],"how":[118],"affect":[120],"effects":[125],"are":[126,184,189,211],"quantified":[127],"based":[128,174,199],"on":[129,175,200,222],"distribution":[131],"subsets":[133,173],"within":[134],"projections":[135],"sensitivity":[139],"subspaces.":[145],"In":[146],"addition,":[147],"supports":[150],"exploration":[152],"evolution":[156],"helping":[163],"track":[165],"convergence":[167],"divergence":[169],"behavior":[170],"an":[176],"extended":[177],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Bubble":[180],"Sets</i>":[181],"visualization.":[182],"Similarities":[183],"intuitively":[185],"illustrated,":[186],"dissimilarities":[188],"highlighted":[190],"generated":[193],"different":[201],"layout":[202],"constraints.":[203],"usefulness":[205],"effectiveness":[207],"further":[212],"evaluated":[213],"with":[214],"user":[216],"study":[217],"two":[219],"case":[220],"studies":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}