{"id":"https://openalex.org/W3092806605","doi":"https://doi.org/10.1109/tvcg.2020.3030432","title":"Evaluation of Sampling Methods for Scatterplots","display_name":"Evaluation of Sampling Methods for Scatterplots","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3092806605","doi":"https://doi.org/10.1109/tvcg.2020.3030432","mag":"3092806605","pmid":"https://pubmed.ncbi.nlm.nih.gov/33074820"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.3030432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3030432","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/A5000944164","display_name":"Jun Yuan","orcid":"https://orcid.org/0000-0002-8160-6383"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yuan","raw_affiliation_strings":["BNRist, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081274814","display_name":"Shouxing Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouxing Xiang","raw_affiliation_strings":["BNRist, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079986783","display_name":"Jiazhi Xia","orcid":"https://orcid.org/0000-0003-4629-6268"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazhi Xia","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109722197","display_name":"Lingyun Yu","orcid":"https://orcid.org/0009-0001-7700-9025"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyun Yu","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shixia Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixia Liu","raw_affiliation_strings":["BNRist, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7409,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.92118153,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":"2","first_page":"1720","last_page":"1730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9957000017166138,"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":0.9957000017166138,"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/T13398","display_name":"Data Analysis with R","score":0.9772999882698059,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9718999862670898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7742881774902344},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7633366584777832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761313259601593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.507276713848114},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.495036780834198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47742971777915955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4257323145866394},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3627500534057617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19397595524787903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1530064046382904}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7742881774902344},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7633366584777832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761313259601593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.507276713848114},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.495036780834198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47742971777915955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4257323145866394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3627500534057617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19397595524787903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1530064046382904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2020.3030432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3030432","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:33074820","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33074820","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":[],"awards":[{"id":"https://openalex.org/G2855469915","display_name":null,"funder_award_id":"61936002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3078503644","display_name":"\u57fa\u4e8e\u5f31\u8f93\u5165\u4fe1\u606f\u7684\u9ad8\u7ef4\u6570\u636e\u53ef\u89c6\u5206\u6790\u7406\u8bba\u7814\u7a76","funder_award_id":"61872389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3665848037","display_name":null,"funder_award_id":"61761136020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5207934879","display_name":"\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u53c2\u6570\u8c03\u6574\u53ef\u89c6\u5206\u6790\u7814\u7a76","funder_award_id":"61672308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6766780905","display_name":null,"funder_award_id":"61672307","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":73,"referenced_works":["https://openalex.org/W1513214262","https://openalex.org/W1582500501","https://openalex.org/W1963992598","https://openalex.org/W1972717260","https://openalex.org/W1974184852","https://openalex.org/W1974767305","https://openalex.org/W1988363436","https://openalex.org/W1988424866","https://openalex.org/W2002707070","https://openalex.org/W2012343510","https://openalex.org/W2015755066","https://openalex.org/W2020457555","https://openalex.org/W2025661610","https://openalex.org/W2026377765","https://openalex.org/W2027475784","https://openalex.org/W2037894060","https://openalex.org/W2041232552","https://openalex.org/W2044880890","https://openalex.org/W2053744708","https://openalex.org/W2057753721","https://openalex.org/W2058203255","https://openalex.org/W2068688638","https://openalex.org/W2069428670","https://openalex.org/W2088009038","https://openalex.org/W2091288935","https://openalex.org/W2096080031","https://openalex.org/W2101234009","https://openalex.org/W2105039113","https://openalex.org/W2112796928","https://openalex.org/W2131340577","https://openalex.org/W2146008005","https://openalex.org/W2150085383","https://openalex.org/W2153935912","https://openalex.org/W2161868490","https://openalex.org/W2204875540","https://openalex.org/W2212819718","https://openalex.org/W2238226741","https://openalex.org/W2319278070","https://openalex.org/W2343061342","https://openalex.org/W2460847700","https://openalex.org/W2507350365","https://openalex.org/W2509053658","https://openalex.org/W2516213098","https://openalex.org/W2517066960","https://openalex.org/W2590401502","https://openalex.org/W2591448937","https://openalex.org/W2751722336","https://openalex.org/W2752662042","https://openalex.org/W2753615759","https://openalex.org/W2776558668","https://openalex.org/W2793551774","https://openalex.org/W2888449044","https://openalex.org/W2896302278","https://openalex.org/W2904982178","https://openalex.org/W2912745464","https://openalex.org/W2958296246","https://openalex.org/W2958488638","https://openalex.org/W2961401069","https://openalex.org/W2968865716","https://openalex.org/W2969631174","https://openalex.org/W2969700220","https://openalex.org/W2969826675","https://openalex.org/W2969838481","https://openalex.org/W2970007690","https://openalex.org/W2972458663","https://openalex.org/W2980046740","https://openalex.org/W3108010663","https://openalex.org/W3120740533","https://openalex.org/W4240044365","https://openalex.org/W4255446233","https://openalex.org/W6674426842","https://openalex.org/W6675354045","https://openalex.org/W7008511162"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"Given":[0],"a":[1,12,24,30,38,75,194],"scatterplot":[2,28],"with":[3,150],"tens":[4],"of":[5,7,37,45,55,63,74,106,193],"thousands":[6],"points":[8],"or":[9],"even":[10],"more,":[11],"natural":[13],"question":[14],"is":[15,58,134],"which":[16],"sampling":[17,47,64,89,125,133,143,146,154,173,184],"method":[18],"should":[19],"be":[20],"used":[21],"to":[22,59,102],"create":[23],"small":[25],"but":[26],"\"good\"":[27],"for":[29,136],"better":[31],"abstraction.":[32],"We":[33,97],"present":[34],"the":[35,43,61,68,83,104,124,151,175,186,190],"results":[36,128],"user":[39],"study":[40,57],"that":[41],"investigates":[42],"influence":[44],"different":[46,107],"strategies":[48,90,108,155],"on":[49],"multi-class":[50,153],"scatterplots.":[51],"The":[52,127],"main":[53],"goal":[54],"this":[56,78],"understand":[60,103],"capability":[62],"methods":[65],"in":[66,109,123,156,177,188],"preserving":[67,137,157],"density,":[69],"outliers,":[70],"and":[71,85,119,144,170,180],"overall":[72,121,191],"shape":[73,122,192],"scatterplot.":[76,195],"To":[77],"end,":[79],"we":[80],"comprehensively":[81],"review":[82],"literature":[84],"select":[86],"seven":[87],"typical":[88],"as":[91,93],"well":[92],"eight":[94],"representative":[95],"datasets.":[96],"then":[98],"design":[99],"four":[100],"experiments":[101],"performance":[105,149],"maintaining:":[110],"1)":[111,131],"region":[112,138],"density;":[113,116,139,159],"2)":[114,140],"class":[115,158],"3)":[117,160],"outliers;":[118,179],"4)":[120,181],"results.":[126],"show":[129],"that:":[130],"random":[132,145],"preferred":[135],"blue":[141,171,182],"noise":[142,172,183],"have":[147],"comparable":[148],"three":[152],"outlier":[161],"biased":[162],"density":[163],"based":[164,168],"sampling,":[165,169],"recursive":[166],"subdivision":[167],"perform":[174],"best":[176],"keeping":[178],"outperforms":[185],"others":[187],"maintaining":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}