{"id":"https://openalex.org/W2990954032","doi":"https://doi.org/10.1109/seaa.2019.00030","title":"Data Management Challenges for Deep Learning","display_name":"Data Management Challenges for Deep Learning","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2990954032","doi":"https://doi.org/10.1109/seaa.2019.00030","mag":"2990954032"},"language":"en","primary_location":{"id":"doi:10.1109/seaa.2019.00030","doi":"https://doi.org/10.1109/seaa.2019.00030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seaa.2019.00030","pdf_url":null,"source":{"id":"https://openalex.org/S7407088862","display_name":"Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5040607106","display_name":"Aiswarya Raj Munappy","orcid":"https://orcid.org/0000-0002-1333-5825","observed_orcids":["https://orcid.org/0000-0002-1333-5825"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Aiswarya Munappy","raw_affiliation_strings":["Chalmers University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010170972","display_name":"Jan Bosch","orcid":"https://orcid.org/0000-0003-2854-722X","observed_orcids":["https://orcid.org/0000-0003-2854-722X"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jan Bosch","raw_affiliation_strings":["Department of Computer Science and Engineering, Chalmers University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049811300","display_name":"Helena Holmstr\u00f6m Olsson","orcid":"https://orcid.org/0000-0002-7700-1816","observed_orcids":["https://orcid.org/0000-0002-7700-1816"]},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Helena Holmstrom Olsson","raw_affiliation_strings":["Chalmers University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052481562","display_name":"Anders Arpteg","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anders Arpteg","raw_affiliation_strings":["Peltarion AB, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peltarion AB, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081710678","display_name":"Bj\u00f6rn Brinne","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bjorn Brinne","raw_affiliation_strings":["Peltarion AB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peltarion AB","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.4112,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99651112,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.6416000127792358,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.6416000127792358,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.17309999465942383,"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/T11937","display_name":"Research Data Management Practices","score":0.057999998331069946,"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/data-management","display_name":"data management","score":0.8790000081062317},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9779999852180481},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.9229999780654907},{"id":"https://openalex.org/keywords/data-consistency","display_name":"data consistency","score":0.7450000047683716},{"id":"https://openalex.org/keywords/data-completeness","display_name":"data completeness","score":0.9509999752044678},{"id":"https://openalex.org/keywords/real-world-data","display_name":"real-world data","score":0.7699999809265137},{"id":"https://openalex.org/keywords/data-scientists","display_name":"data scientists","score":0.4830000102519989},{"id":"https://openalex.org/keywords/data-management-challenges","display_name":"data management challenges","score":0.5389999747276306}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.9117223620414734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7484424114227295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027695178985596},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5801794528961182},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5399603247642517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4886050820350647},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4580515921115875},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44607406854629517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.168989360332489},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/seaa.2019.00030","doi":"https://doi.org/10.1109/seaa.2019.00030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seaa.2019.00030","pdf_url":null,"source":{"id":"https://openalex.org/S7407088862","display_name":"Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:514287","doi":null,"is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/514287","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W648947103","https://openalex.org/W1978592082","https://openalex.org/W1984020445","https://openalex.org/W1999798000","https://openalex.org/W2005697477","https://openalex.org/W2088338354","https://openalex.org/W2118023920","https://openalex.org/W2121289914","https://openalex.org/W2130306094","https://openalex.org/W2131919497","https://openalex.org/W2147800946","https://openalex.org/W2160815625","https://openalex.org/W2162739315","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2295072214","https://openalex.org/W2525739395","https://openalex.org/W2610332124","https://openalex.org/W2616028256","https://openalex.org/W2714259754","https://openalex.org/W2766447205","https://openalex.org/W2766818166","https://openalex.org/W2896671475","https://openalex.org/W2919115771","https://openalex.org/W2963889719","https://openalex.org/W3122507327","https://openalex.org/W4236544521","https://openalex.org/W4288083766","https://openalex.org/W6912862539"],"related_works":["https://openalex.org/W6969121987","https://openalex.org/W4394713224","https://openalex.org/W2614986686","https://openalex.org/W4392253670","https://openalex.org/W3085364681","https://openalex.org/W2979404457","https://openalex.org/W2556607581","https://openalex.org/W4226251359","https://openalex.org/W4389887526","https://openalex.org/W4308627439"],"abstract_inverted_index":{"Deep":[0,35],"learning":[1,19,33,36,50,71,89,144,158,175],"is":[2,37,66,96,120,149],"one":[3],"of":[4,17,43,64,87,93,110],"the":[5,26,56,84,124,156],"most":[6],"exciting":[7],"and":[8,62,77,99,141,169],"fast-growing":[9],"techniques":[10],"in":[11,46,107,172],"Artificial":[12],"Intelligence.":[13],"The":[14,91],"unique":[15],"capacity":[16],"deep":[18,49,70,88,143,157,174],"models":[20,51],"to":[21,80,97,122,151,155,166],"automatically":[22],"learn":[23],"patterns":[24],"from":[25,30],"data":[27,65,74,101,125,138,164],"differentiates":[28],"it":[29],"other":[31],"machine":[32],"techniques.":[34],"responsible":[38],"for":[39,68,139,163],"a":[40,69,116],"significant":[41],"number":[42],"recent":[44],"breakthroughs":[45],"AI.":[47],"However,":[48],"are":[52],"highly":[53],"dependent":[54],"on":[55],"underlying":[57],"data.":[58,178],"So,":[59],"consistency,":[60],"accuracy,":[61],"completeness":[63],"essential":[67],"model.":[72],"Thus,":[73],"management":[75,102,126],"principles":[76],"practices":[78],"need":[79],"be":[81],"adopted":[82],"throughout":[83],"development":[85],"process":[86],"models.":[90,145],"objective":[92],"this":[94,114],"study":[95,118,148],"identify":[98],"categorise":[100],"challenges":[103],"faced":[104,128],"by":[105,129],"practitioners":[106,130],"different":[108],"stages":[109],"end-to-end":[111],"development.":[112],"In":[113],"paper,":[115],"case":[117,147],"approach":[119],"employed":[121],"explore":[123],"issues":[127],"across":[131],"various":[132],"domains":[133],"when":[134],"they":[135],"use":[136],"real-world":[137,177],"training":[140],"deploying":[142],"Our":[146],"intended":[150],"provide":[152],"valuable":[153],"insights":[154],"community":[159],"as":[160,162],"well":[161],"scientists":[165],"guide":[167],"discussion":[168],"future":[170],"research":[171],"applied":[173],"with":[176]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2019-12-05T00:00:00"}
