{"id":"https://openalex.org/W2739291274","doi":"https://doi.org/10.2312/eurp.20171164","title":"Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes","display_name":"Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2739291274","doi":"https://doi.org/10.2312/eurp.20171164","mag":"2739291274"},"language":"en","primary_location":{"id":"doi:10.2312/eurp.20171164","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurp.20171164","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eurp.20171164","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012797594","display_name":"Andreas Mathisen","orcid":"https://orcid.org/0000-0002-5229-8457"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mathisen, Andreas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030854715","display_name":"Matthias Nielsen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nielsen, Matthias","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011925664","display_name":"Kaj Gr\u00f8nb\u00e6k","orcid":"https://orcid.org/0000-0002-3752-6714"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gr\u00f8nb\u00e6k, Kaj","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012797594"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9846000075340271,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9815000295639038,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6276552677154541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610061526298523},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.579253077507019},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5510084629058838},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5240659713745117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39743632078170776},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3581138849258423},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3335876166820526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10831427574157715}],"concepts":[{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6276552677154541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610061526298523},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.579253077507019},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5510084629058838},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5240659713745117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39743632078170776},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3581138849258423},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3335876166820526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10831427574157715},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eurp.20171164","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurp.20171164","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/eurp.20171164","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurp.20171164","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W26643119","https://openalex.org/W1987971958","https://openalex.org/W2025394193","https://openalex.org/W2034694694","https://openalex.org/W2055794105","https://openalex.org/W2056918045","https://openalex.org/W2067391211","https://openalex.org/W2073459066","https://openalex.org/W2110080554","https://openalex.org/W2111736285","https://openalex.org/W2123909791","https://openalex.org/W2125027820","https://openalex.org/W2138615112","https://openalex.org/W2167915891","https://openalex.org/W2168318855","https://openalex.org/W2177967353","https://openalex.org/W2323909273","https://openalex.org/W2914973542","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W195490655","https://openalex.org/W2800266351","https://openalex.org/W2519973683","https://openalex.org/W36465525","https://openalex.org/W3214230271","https://openalex.org/W132451326","https://openalex.org/W415815453","https://openalex.org/W2049721545","https://openalex.org/W5178400","https://openalex.org/W64687793","https://openalex.org/W174774941","https://openalex.org/W1874340611","https://openalex.org/W119993069","https://openalex.org/W1812304561","https://openalex.org/W296762978","https://openalex.org/W61678130","https://openalex.org/W1968417030","https://openalex.org/W1579669991","https://openalex.org/W3182670584","https://openalex.org/W3158052896"],"abstract_inverted_index":{"Recent":[0],"research":[1],"shows":[2],"promise":[3],"in":[4,27,41,96],"combining":[5],"Information":[6],"Visualization":[7],"(IV)":[8],"and":[9,54],"Machine":[10],"Learning":[11],"(ML)":[12],"to":[13,33,63,142,150],"assist":[14],"data":[15,104],"analysis":[16,133,153],"performed":[17],"by":[18,37,83],"domain":[19,39,68],"experts.":[20],"However,":[21],"this":[22],"approach":[23],"presents":[24],"non-trivial":[25],"challenges,":[26,48],"particular":[28],"when":[29],"the":[30,38,67,76,89,114,123,136,152],"goal":[31],"is":[32,81,106],"incorporate":[34],"knowledge":[35,145],"provided":[36],"expert":[40],"underlying":[42],"ML":[43],"algorithms.":[44],"To":[45],"address":[46],"these":[47],"we":[49],"present":[50],"an":[51],"analytical":[52],"process":[53,72,139],"a":[55,84,107,131],"visual":[56,61],"analytics":[57],"tool":[58],"that":[59],"uses":[60],"queries":[62],"capture":[64],"examples":[65],"from":[66,113],"experts'":[69],"existing":[70],"reasoning":[71],"which":[73,103],"will":[74,129],"guide":[75],"subsequent":[77],"clustering.":[78],"Our":[79],"work":[80],"motivated":[82],"collaboration":[85],"with":[86],"personnel":[87],"at":[88],"Danish":[90],"Business":[91],"Authority,":[92],"who":[93],"are":[94],"interested":[95],"two":[97],"types":[98],"of":[99,110,146],"insights:":[100],"(1)":[101],"On":[102],"dimensions":[105],"selected":[108],"subset":[109],"companies":[111,120,149],"different":[112],"remaining":[115],"companies?":[116],"(2)":[117],"Which":[118],"other":[119],"lie":[121],"within":[122],"same":[124],"multi-dimensional":[125],"subspace?":[126],"The":[127],"poster":[128],"illustrate":[130],"real":[132],"scenario,":[134],"where":[135],"presented":[137],"analytic":[138],"allows":[140],"auditors":[141],"use":[143],"their":[144],"identified":[147],"\"suspicious\"":[148],"kick-start":[151],"for":[154],"others.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
