{"id":"https://openalex.org/W3216201365","doi":"https://doi.org/10.1109/vis49827.2021.9623303","title":"An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets","display_name":"An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3216201365","doi":"https://doi.org/10.1109/vis49827.2021.9623303","mag":"3216201365"},"language":"en","primary_location":{"id":"doi:10.1109/vis49827.2021.9623303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vis49827.2021.9623303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Visualization Conference (VIS)","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/A5101693254","display_name":"Jun Yuan","orcid":"https://orcid.org/0000-0003-1952-5221"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Yuan","raw_affiliation_strings":["New York University"],"affiliations":[{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007172071","display_name":"Oded Nov","orcid":"https://orcid.org/0000-0001-6410-2995"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oded Nov","raw_affiliation_strings":["New York University"],"affiliations":[{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102923390","display_name":"Enrico Bertini","orcid":"https://orcid.org/0000-0002-9932-0551"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enrico Bertini","raw_affiliation_strings":["New York University"],"affiliations":[{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101693254"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":1.4957,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85937591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9907000064849854,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9907000064849854,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9904999732971191,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9829000234603882,"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/computer-science","display_name":"Computer science","score":0.7969505190849304},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.6761506199836731},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.5748120546340942},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.5384215712547302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5041815042495728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45196208357810974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38287487626075745},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3369657099246979},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14512917399406433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7969505190849304},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.6761506199836731},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.5748120546340942},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.5384215712547302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5041815042495728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45196208357810974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38287487626075745},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3369657099246979},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14512917399406433},{"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/vis49827.2021.9623303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vis49827.2021.9623303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1541145887","https://openalex.org/W1927345150","https://openalex.org/W2013587512","https://openalex.org/W2045999085","https://openalex.org/W2066933362","https://openalex.org/W2118022153","https://openalex.org/W2125283600","https://openalex.org/W2154642793","https://openalex.org/W2183009633","https://openalex.org/W2282821441","https://openalex.org/W2367397349","https://openalex.org/W2416272719","https://openalex.org/W2762409054","https://openalex.org/W2762951851","https://openalex.org/W2788403449","https://openalex.org/W2883424428","https://openalex.org/W2914029945","https://openalex.org/W2943497741","https://openalex.org/W2959587146","https://openalex.org/W2962924847","https://openalex.org/W2964112969","https://openalex.org/W3033988828","https://openalex.org/W3041191759","https://openalex.org/W3124792046","https://openalex.org/W4235011715","https://openalex.org/W4293583991","https://openalex.org/W6632481002","https://openalex.org/W6633888031","https://openalex.org/W6682837551","https://openalex.org/W6696322540","https://openalex.org/W6744393810","https://openalex.org/W6748426178","https://openalex.org/W6751959524","https://openalex.org/W6758979359","https://openalex.org/W6779909283","https://openalex.org/W7053318634"],"related_works":["https://openalex.org/W1964661231","https://openalex.org/W4254960163","https://openalex.org/W3110264473","https://openalex.org/W2370831213","https://openalex.org/W4315704968","https://openalex.org/W4285478380","https://openalex.org/W2100255360","https://openalex.org/W2032810564","https://openalex.org/W2107506952","https://openalex.org/W3135287016"],"abstract_inverted_index":{"Rule":[0,25],"sets":[1,26],"are":[2,23,27],"often":[3],"used":[4],"in":[5,17],"Machine":[6],"Learning":[7],"(ML)":[8],"as":[9,30,130],"a":[10,31,68,76,87,101,131],"way":[11],"to":[12,39,134],"communicate":[13],"the":[14,58,110],"model":[15],"logic":[16],"settings":[18],"where":[19],"transparency":[20],"and":[21,82],"intelligibility":[22],"necessary.":[24],"typically":[28],"presented":[29],"text-based":[32],"list":[33],"of":[34,60,64,70],"logical":[35],"statements":[36],"(rules).":[37],"Surprisingly,":[38],"date":[40],"there":[41],"has":[42],"been":[43],"limited":[44],"work":[45,119],"on":[46,67,79,104,116],"exploring":[47,90],"visual":[48,71],"alternatives":[49],"for":[50],"presenting":[51],"rules.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,73],"explore":[57],"idea":[59],"designing":[61],"alternative":[62],"representations":[63],"rules,":[65],"focusing":[66],"number":[69],"factors":[72,99],"believe":[74],"have":[75,100],"positive":[77],"impact":[78,103,115],"rule":[80],"readability":[81],"understanding.":[83],"We":[84],"then":[85],"presents":[86],"user":[88],"study":[89],"their":[91],"impact.":[92],"The":[93],"results":[94],"show":[95],"that":[96],"some":[97],"design":[98],"strong":[102],"how":[105],"efficiently":[106],"readers":[107],"can":[108,120],"process":[109],"rules":[111,129],"while":[112],"having":[113],"minimal":[114],"accuracy.":[117],"This":[118],"help":[121],"practitioners":[122],"employ":[123],"more":[124],"effective":[125],"solutions":[126],"when":[127],"using":[128],"communication":[132],"strategy":[133],"understand":[135],"ML":[136],"models.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}