{"id":"https://openalex.org/W2094481538","doi":"https://doi.org/10.1145/2598153.2600432","title":"TagStar","display_name":"TagStar","publication_year":2014,"publication_date":"2014-05-27","ids":{"openalex":"https://openalex.org/W2094481538","doi":"https://doi.org/10.1145/2598153.2600432","mag":"2094481538"},"language":"en","primary_location":{"id":"doi:10.1145/2598153.2600432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2598153.2600432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 International Working Conference on Advanced Visual 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/A5063745789","display_name":"Mirko de Almeida Madeira Clemente","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mirko de Almeida Madeira Clemente","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034541446","display_name":"Mandy Keck","orcid":"https://orcid.org/0000-0002-5821-8016"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mandy Keck","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056517923","display_name":"Rainer Groh","orcid":"https://orcid.org/0000-0001-5031-7493"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Groh","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8458,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81989937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9930999875068665,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9930999875068665,"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":0.9902999997138977,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8307499885559082},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5675649642944336},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.548281192779541},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.5223240256309509},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5161329507827759},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.4879738688468933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46838170289993286},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4411119520664215},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4178371727466583},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.41318485140800476},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3795759975910187},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3429146409034729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21107357740402222},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.13762640953063965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307499885559082},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5675649642944336},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.548281192779541},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.5223240256309509},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5161329507827759},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.4879738688468933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46838170289993286},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4411119520664215},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4178371727466583},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.41318485140800476},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3795759975910187},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3429146409034729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21107357740402222},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.13762640953063965},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2598153.2600432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2598153.2600432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 International Working Conference on Advanced Visual 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":9,"referenced_works":["https://openalex.org/W161292523","https://openalex.org/W655089096","https://openalex.org/W655855333","https://openalex.org/W1617708793","https://openalex.org/W1823329909","https://openalex.org/W2017018978","https://openalex.org/W2104018361","https://openalex.org/W2114822471","https://openalex.org/W6606615227"],"related_works":["https://openalex.org/W2354769873","https://openalex.org/W2108441106","https://openalex.org/W2169468489","https://openalex.org/W2980304303","https://openalex.org/W2082818344","https://openalex.org/W2378540675","https://openalex.org/W2886550023","https://openalex.org/W313120457","https://openalex.org/W2265286071","https://openalex.org/W2379998153"],"abstract_inverted_index":{"TagStar":[0],"is":[1,50],"designed":[2],"to":[3,21,38,55],"support":[4,22],"users":[5],"during":[6],"the":[7,26,31,57],"classification":[8,16],"of":[9,30],"data":[10],"items":[11],"based":[12,51],"on":[13,52],"a":[14],"multidimensional":[15],"scheme.":[17],"We":[18],"also":[19],"intend":[20],"experts":[23,37],"when":[24],"analyzing":[25],"database.":[27],"Analytic":[28],"features":[29],"presented":[32],"visual":[33],"indexing":[34],"system":[35],"allow":[36],"discover":[39],"insufficiently":[40],"described":[41],"resources":[42],"with":[43],"little":[44],"effort.":[45],"The":[46],"resulting":[47],"interface":[48],"concept":[49],"star":[53],"glyphs":[54],"visualize":[56],"multivariate":[58],"data.":[59]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
