{"id":"https://openalex.org/W2058012341","doi":"https://doi.org/10.1080/10447310701702519","title":"Exploratory Data Analysis With Categorical Variables: An Improved Rank-by-Feature Framework and a Case Study","display_name":"Exploratory Data Analysis With Categorical Variables: An Improved Rank-by-Feature Framework and a Case Study","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2058012341","doi":"https://doi.org/10.1080/10447310701702519","mag":"2058012341"},"language":"en","primary_location":{"id":"doi:10.1080/10447310701702519","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447310701702519","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human-Computer Interaction","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/A5012388103","display_name":"Jinwook Seo","orcid":"https://orcid.org/0000-0002-7734-822X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinwook Seo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082896865","display_name":"Heather Gordish\u2010Dressman","orcid":"https://orcid.org/0000-0002-2330-5427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heather Gordish-Dressman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2953,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81599412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"3","first_page":"287","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9901000261306763,"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":0.9901000261306763,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9897000193595886,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.9562501907348633},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6583850979804993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6303051710128784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139332056045532},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5129463076591492},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.45319852232933044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4424165189266205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42382222414016724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29368236660957336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2674573063850403}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.9562501907348633},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6583850979804993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6303051710128784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139332056045532},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5129463076591492},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.45319852232933044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4424165189266205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42382222414016724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29368236660957336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2674573063850403},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10447310701702519","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447310701702519","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W642811744","https://openalex.org/W1503419138","https://openalex.org/W1545027066","https://openalex.org/W1570713908","https://openalex.org/W1584781794","https://openalex.org/W1588516554","https://openalex.org/W1977050089","https://openalex.org/W2001649579","https://openalex.org/W2014296507","https://openalex.org/W2037021470","https://openalex.org/W2041674806","https://openalex.org/W2074494141","https://openalex.org/W2081488769","https://openalex.org/W2095442435","https://openalex.org/W2099581008","https://openalex.org/W2099981284","https://openalex.org/W2105324766","https://openalex.org/W2110596109","https://openalex.org/W2128712108","https://openalex.org/W2132631291","https://openalex.org/W2132881639","https://openalex.org/W2135735809","https://openalex.org/W2158169170","https://openalex.org/W2166699593","https://openalex.org/W2166923441","https://openalex.org/W2432517183","https://openalex.org/W2671739255","https://openalex.org/W2808177651","https://openalex.org/W2981264952"],"related_works":["https://openalex.org/W2734734306","https://openalex.org/W1560498978","https://openalex.org/W2511442670","https://openalex.org/W2768893657","https://openalex.org/W2347635792","https://openalex.org/W2020738241","https://openalex.org/W2568490484","https://openalex.org/W2166704317","https://openalex.org/W2229443892","https://openalex.org/W2267523849"],"abstract_inverted_index":{"Multidimensional":[0],"data":[1,15,26,42,46,71,112],"sets":[2],"often":[3,33],"include":[4],"categorical":[5,11,30,67,84,102,116,132],"information.":[6,133],"When":[7],"most":[8],"dimensions":[9],"have":[10],"information,":[12],"clustering":[13,106,123],"the":[14,25,29,41,75,90,101,111,122,136],"set":[16,113],"as":[17,36,130],"a":[18,37,96,139,144],"whole":[19],"can":[20,109,128],"reveal":[21],"interesting":[22],"patterns":[23],"in":[24,69],"set.":[27],"However,":[28],"information":[31,68,103,117],"is":[32],"more":[34],"useful":[35],"way":[38,98],"to":[39,65,88,99,115],"partition":[40,110,127],"set:":[43],"gene":[44],"expression":[45],"for":[47,55,83,125],"healthy":[48],"versus":[49],"diseased":[50],"samples":[51],"or":[52,58,119],"stock":[53],"performance":[54],"common,":[56],"preferred,":[57],"convertible":[59],"shares.":[60],"We":[61,134],"present":[62,80,95],"novel":[63,97],"ways":[64,87],"utilize":[66,100],"exploratory":[70],"analysis":[72],"by":[73],"enhancing":[74],"rank-by-feature":[76],"framework.":[77],"First,":[78],"we":[79,94],"ranking":[81],"criteria":[82],"variables":[85],"and":[86,121,151],"improve":[89],"score":[91],"overview.":[92],"Second,":[93],"together":[104],"with":[105,143],"algorithms.":[107],"Users":[108],"according":[114],"vertically":[118],"horizontally,":[120],"result":[124],"each":[126],"serve":[129],"new":[131],"report":[135],"results":[137],"of":[138],"longitudinal":[140],"case":[141],"study":[142],"biomedical":[145],"research":[146],"team,":[147],"including":[148],"insights":[149],"gained":[150],"potential":[152],"future":[153],"work.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}