{"id":"https://openalex.org/W6944387188","doi":"https://doi.org/10.18420/informatik2021-101","title":"A systematic literature review of machine learning canvases","display_name":"A systematic literature review of machine learning canvases","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W6944387188","doi":"https://doi.org/10.18420/informatik2021-101"},"language":"en","primary_location":{"id":"pmh:oai:pure.leuphana.de:openaire/f7b231c0-3980-474d-a4fb-70789ee5da24","is_oa":false,"landing_page_url":"http://fis.leuphana.de/de/publications/a-systematic-literature-review-of-machine-learning-canvases(f7b231c0-3980-474d-a4fb-70789ee5da24).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400489","display_name":"Multilingual Matters (Channel View Publications)","issn_l":null,"issn":null,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},"type":"review","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/informatik2021-101","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Thi\u00e9e, Lukas-Walter","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thi\u00e9e, Lukas-Walter","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":0.151,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52362205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.3684999942779541,"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"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.3684999942779541,"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/T10799","display_name":"Data Visualization and Analytics","score":0.11729999631643295,"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/T11719","display_name":"Data Quality and Management","score":0.029899999499320984,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.7195000052452087},{"id":"https://openalex.org/keywords/status-quo","display_name":"Status quo","score":0.6704999804496765},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5131000280380249},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.43720000982284546},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.31060001254081726}],"concepts":[{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.7195000052452087},{"id":"https://openalex.org/C2776748549","wikidata":"https://www.wikidata.org/wiki/Q201610","display_name":"Status quo","level":2,"score":0.6704999804496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5924999713897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188999772071838},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41659998893737793},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C3019869117","wikidata":"https://www.wikidata.org/wiki/Q42240","display_name":"Original research","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2583000063896179}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pure.leuphana.de:openaire/f7b231c0-3980-474d-a4fb-70789ee5da24","is_oa":false,"landing_page_url":"http://fis.leuphana.de/de/publications/a-systematic-literature-review-of-machine-learning-canvases(f7b231c0-3980-474d-a4fb-70789ee5da24).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400489","display_name":"Multilingual Matters (Channel View Publications)","issn_l":null,"issn":null,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.18420/informatik2021-101","is_oa":true,"landing_page_url":"https://doi.org/10.18420/informatik2021-101","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":null,"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-journal"}],"best_oa_location":{"id":"doi:10.18420/informatik2021-101","is_oa":true,"landing_page_url":"https://doi.org/10.18420/informatik2021-101","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":null,"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-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,116],"use":[1,52],"of":[2,30,47,53,113,118,126],"machine":[3],"learning":[4],"technology":[5],"is":[6,50,66,88],"still":[7],"significantly":[8],"lower":[9],"in":[10,17,27,36,74,81],"small":[11],"and":[12,45,76,93,104,121,133],"medium":[13],"sized":[14],"enterprises":[15],"than":[16],"large":[18],"enterprises.":[19],"It":[20],"seems":[21],"that":[22,33,91],"there":[23],"are":[24,71,79],"specific":[25],"challenges":[26],"the":[28,43,51,101,119,137],"implementation":[29],"data-driven":[31],"methods,":[32],"hinder":[34],"SMEs":[35],"their":[37],"adoption.":[38,144],"One":[39],"approach":[40,139],"to":[41,129,135],"support":[42],"initialization":[44],"execution":[46],"such":[48],"methods":[49],"boundary":[54],"objects,":[55],"e.g.,":[56],"canvases,":[57],"serving":[58],"as":[59,140,142],"a":[60,84],"visual":[61],"communication":[62],"document.":[63],"As":[64],"it":[65],"not":[67],"clear":[68],"which":[69],"approaches":[70],"being":[72,89],"pursued":[73],"detail":[75],"how":[77],"they":[78,105],"interrelated,":[80],"this":[82],"paper,":[83],"systematic":[85],"literature":[86],"review":[87],"presented,":[90],"identifies":[92],"analyzes":[94],"18":[95],"canvas":[96,127,138],"artifacts.":[97],"These":[98],"canvases":[99],"represent":[100],"status":[102],"quo":[103],"can":[106],"be":[107],"grouped":[108],"into":[109],"four":[110],"distinct":[111],"categories":[112],"different":[114],"foci.":[115],"aggregation":[117],"fields":[120],"questions":[122],"provides":[123],"an":[124],"essence":[125],"contents,":[128],"point":[130],"out":[131],"gaps":[132],"ultimately":[134],"expand":[136],"well":[141],"ML":[143]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
