{"id":"https://openalex.org/W2013136599","doi":"https://doi.org/10.1145/1809400.1809404","title":"Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery","display_name":"Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery","publication_year":2010,"publication_date":"2010-05-27","ids":{"openalex":"https://openalex.org/W2013136599","doi":"https://doi.org/10.1145/1809400.1809404","mag":"2013136599"},"language":"en","primary_location":{"id":"doi:10.1145/1809400.1809404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1809400.1809404","pdf_url":null,"source":{"id":"https://openalex.org/S4210176598","display_name":"ACM SIGKDD Explorations Newsletter","issn_l":"1931-0145","issn":["1931-0145","1931-0153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGKDD Explorations Newsletter","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/A5059742070","display_name":"Enrico Bertini","orcid":"https://orcid.org/0000-0001-9276-4590"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Enrico Bertini","raw_affiliation_strings":["Universit\u00e9 de Fribourg, Fribourg, Switzerland","Universite de Fribourg, Fribourg, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]},{"raw_affiliation_string":"Universite de Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038635168","display_name":"Denis Lalanne","orcid":"https://orcid.org/0000-0001-7834-0417"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Denis Lalanne","raw_affiliation_strings":["Universit\u00e9 de Fribourg, Fribourg, Switzerland","Universite de Fribourg, Fribourg, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]},{"raw_affiliation_string":"Universite de Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4269,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97594769,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"9","last_page":"18"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9387999773025513,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.925599992275238,"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":0.8243364095687866},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.76402747631073},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.741568922996521},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.685397744178772},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.675930917263031},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.629680335521698},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.5692358613014221},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5234493613243103},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4677712321281433},{"id":"https://openalex.org/keywords/data-discovery","display_name":"Data discovery","score":0.4568212628364563},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4478137791156769},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.4450503885746002},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43995293974876404},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.43671634793281555},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39639467000961304},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20839878916740417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15695402026176453},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.13910293579101562},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.10620883107185364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243364095687866},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.76402747631073},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.741568922996521},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.685397744178772},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.675930917263031},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.629680335521698},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.5692358613014221},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5234493613243103},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4677712321281433},{"id":"https://openalex.org/C2777516300","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data discovery","level":3,"score":0.4568212628364563},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4478137791156769},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.4450503885746002},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43995293974876404},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.43671634793281555},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39639467000961304},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20839878916740417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15695402026176453},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.13910293579101562},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.10620883107185364},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1809400.1809404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1809400.1809404","pdf_url":null,"source":{"id":"https://openalex.org/S4210176598","display_name":"ACM SIGKDD Explorations Newsletter","issn_l":"1931-0145","issn":["1931-0145","1931-0153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGKDD Explorations Newsletter","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.173.7978","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.7978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kdd.org/explorations/issues/11-2-2009-12/v11-2-04-VA-Bertini.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.7570","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.7570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://diuf.unifr.ch/people/lalanned/Articles/p9Explorations.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.518.8873","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.518.8873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.hiit.fi/vakd09/vakdsi09bertini.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1546650522","https://openalex.org/W1594453896","https://openalex.org/W1977050089","https://openalex.org/W1982685371","https://openalex.org/W1992896169","https://openalex.org/W2003238113","https://openalex.org/W2025661610","https://openalex.org/W2045649112","https://openalex.org/W2050035370","https://openalex.org/W2083322541","https://openalex.org/W2083479198","https://openalex.org/W2096070028","https://openalex.org/W2096164952","https://openalex.org/W2097481508","https://openalex.org/W2118150522","https://openalex.org/W2121003513","https://openalex.org/W2126815886","https://openalex.org/W2132033999","https://openalex.org/W2132881639","https://openalex.org/W2140392267","https://openalex.org/W2143079781","https://openalex.org/W2144320230","https://openalex.org/W2163925089","https://openalex.org/W2164455316","https://openalex.org/W2166947480","https://openalex.org/W3175803315"],"related_works":["https://openalex.org/W2362367986","https://openalex.org/W2151177154","https://openalex.org/W2148525144","https://openalex.org/W4295118869","https://openalex.org/W3215871094","https://openalex.org/W2014215324","https://openalex.org/W2013467770","https://openalex.org/W2112083262","https://openalex.org/W1559188619","https://openalex.org/W2064719069"],"abstract_inverted_index":{"The":[0,95,139],"aim":[1],"of":[2,30,67,102,108,133,164,177],"this":[3,118],"work":[4],"is":[5],"to":[6,21,120,142,161,172],"survey":[7],"and":[8,15,32,53,65,71,74,85,136,149,155,166],"reflect":[9],"on":[10,99,146],"the":[11,28,41,44,100,103,122,127,131,175],"various":[12],"ways":[13],"visualization":[14,69,135,150],"data":[16,72,82,90,137],"mining":[17,83,91,148],"can":[18,151,170],"be":[19],"integrated":[20],"achieve":[22],"effective":[23],"knowledge":[24],"discovery":[25,123],"by":[26,125],"involving":[27],"best":[29,152],"human":[31,154],"machine":[33,156],"capabilities.":[34],"Following":[35],"a":[36,106,162],"bottom-up":[37],"bibliographic":[38],"research":[39,167],"approach,":[40],"article":[42,96],"categorizes":[43],"observed":[45],"techniques":[46,84],"in":[47,79,89,113],"classes,":[48],"highlighting":[49],"current":[50],"trends,":[51],"gaps,":[52],"potential":[54,109],"future":[55],"directions":[56],"for":[57,75],"research.":[58],"In":[59],"particular":[60],"it":[61],"looks":[62],"at":[63],"strengths":[64],"weaknesses":[66],"information":[68,119,134],"(infovis)":[70],"mining,":[73],"which":[76],"purposes":[77],"researchers":[78,88],"infovis":[80,93],"use":[81,117],"reversely":[86],"how":[87,147],"employ":[92,153],"techniques.":[94],"then":[97],"proposes,":[98],"basis":[101],"extracted":[104],"patterns,":[105],"series":[107,163],"extensions":[110],"not":[111],"found":[112],"literature.":[114],"Finally,":[115],"we":[116],"analyze":[121],"process":[124],"comparing":[126],"analysis":[128],"steps":[129],"from":[130],"perspective":[132],"mining.":[138],"comparison":[140],"brings":[141],"light":[143],"new":[144],"perspectives":[145],"strengths.":[157],"This":[158],"activity":[159],"leads":[160],"reflections":[165],"questions":[168],"that":[169],"help":[171],"further":[173],"advance":[174],"science":[176],"visual":[178],"analytics.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
