{"id":"https://openalex.org/W4380484877","doi":"https://doi.org/10.3390/informatics10020050","title":"Low-Code Machine Learning Platforms: A Fastlane to Digitalization","display_name":"Low-Code Machine Learning Platforms: A Fastlane to Digitalization","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380484877","doi":"https://doi.org/10.3390/informatics10020050"},"language":"en","primary_location":{"id":"doi:10.3390/informatics10020050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics10020050","pdf_url":"https://www.mdpi.com/2227-9709/10/2/50/pdf?version=1686572794","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9709/10/2/50/pdf?version=1686572794","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091973577","display_name":"Krishna Raj Raghavendran","orcid":null},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Krishna Raj Raghavendran","raw_affiliation_strings":["Department of Computer Science, Electrical and Space Engineering, Lule\u00e5 University of Technology, 97187 Lule\u00e5, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Electrical and Space Engineering, Lule\u00e5 University of Technology, 97187 Lule\u00e5, Sweden","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018449892","display_name":"Ahmed Elragal","orcid":"https://orcid.org/0000-0003-4250-4752"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Ahmed Elragal","raw_affiliation_strings":["Department of Computer Science, Electrical and Space Engineering, Lule\u00e5 University of Technology, 97187 Lule\u00e5, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Electrical and Space Engineering, Lule\u00e5 University of Technology, 97187 Lule\u00e5, Sweden","institution_ids":["https://openalex.org/I190632392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018449892"],"corresponding_institution_ids":["https://openalex.org/I190632392"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1309,"currency":"EUR","value_usd":1411},"fwci":2.1568,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89642193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":"2","first_page":"50","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9961000084877014,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9832000136375427,"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/machine-learning","display_name":"Machine learning","score":0.8543402552604675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7523709535598755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984214186668396},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5420466661453247},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4330865740776062},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.413602739572525}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8543402552604675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7523709535598755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984214186668396},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5420466661453247},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4330865740776062},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.413602739572525},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/informatics10020050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics10020050","pdf_url":"https://www.mdpi.com/2227-9709/10/2/50/pdf?version=1686572794","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:ltu-98212","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-98212","pdf_url":"https://ltu.diva-portal.org/smash/get/diva2:1766060/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:ecf93aa800b443599160541d67542313","is_oa":true,"landing_page_url":"https://doaj.org/article/ecf93aa800b443599160541d67542313","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics, Vol 10, Iss 2, p 50 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2227-9709/10/2/50/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/informatics10020050","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics; Volume 10; Issue 2; Pages: 50","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/informatics10020050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics10020050","pdf_url":"https://www.mdpi.com/2227-9709/10/2/50/pdf?version=1686572794","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380484877.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2019880039","https://openalex.org/W2360467051","https://openalex.org/W2407212869","https://openalex.org/W2809353976","https://openalex.org/W3036253705","https://openalex.org/W3096833416","https://openalex.org/W3116042400","https://openalex.org/W3208436298","https://openalex.org/W4210471555","https://openalex.org/W4224085183","https://openalex.org/W4281612099"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"In":[0],"the":[1,13,25,44,59,143,170,201],"context":[2],"of":[3,61,145,165,172,206],"developing":[4,93],"machine":[5,18,32,46,64,76,82,95,105,113,123,132,149],"learning":[6,19,33,47,65,77,83,96,106,114,124,133,150],"models,":[7],"until":[8],"and":[9,17,29,35,53,85,204,211],"unless":[10],"we":[11,178],"have":[12],"required":[14],"data":[15,209],"engineering":[16],"development":[20],"competencies":[21],"as":[22,24],"well":[23],"time":[26],"to":[27,73,116,188,212],"train":[28],"test":[30],"different":[31,75,104],"models":[34,66,84,97],"tune":[36],"their":[37,87,118,146],"hyperparameters,":[38],"it":[39],"is":[40,168,198],"worth":[41],"trying":[42],"out":[43],"automatic":[45,63,81,94,122,131],"features":[48],"provided":[49],"by":[50,92],"several":[51],"cloud-based":[52],"cloud-agnostic":[54],"platforms.":[55],"This":[56],"paper":[57,167],"explores":[58],"possibility":[60],"generating":[62,80],"with":[67],"low-code":[68,181],"experience.":[69],"We":[70,110],"developed":[71],"criteria":[72],"compare":[74],"platforms":[78,107,125,134,151,182],"for":[79,140,156],"presenting":[86],"results.":[88],"Thereafter,":[89],"lessons":[90],"learned":[91],"from":[98,217],"a":[99,137,173,185,195],"sample":[100],"dataset":[101],"across":[102],"four":[103],"were":[108],"elucidated.":[109],"also":[111],"interviewed":[112],"experts":[115],"conceptualize":[117],"domain-specific":[119],"problems":[120],"that":[121,130,197,215],"can":[126,135,183],"address.":[127],"Results":[128],"showed":[129],"provide":[136,184,194],"fast":[138],"track":[139],"organizations":[141],"seeking":[142],"digitalization":[144],"businesses.":[147],"Automatic":[148],"help":[152],"produce":[153],"results,":[154],"especially":[155],"time-constrained":[157],"projects":[158,214],"where":[159],"resources":[160],"are":[161],"lacking.":[162],"The":[163],"contribution":[164],"this":[166],"in":[169,176],"form":[171],"lab":[174],"experiment":[175],"which":[177],"demonstrate":[179],"how":[180],"viable":[186],"option":[187],"many":[189],"business":[190],"cases":[191],"and,":[192],"henceforth,":[193],"lane":[196],"faster":[199],"than":[200],"usual":[202],"hiring":[203],"training":[205],"already":[207],"scarce":[208],"scientists":[210],"analytics":[213],"suffer":[216],"overruns.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}