{"id":"https://openalex.org/W7220074091","doi":null,"title":"Identificaci\u00f3n de patrones que influyen en los bajos rendimientos industriales en la fabricaci\u00f3n de az\u00facar","display_name":"Identificaci\u00f3n de patrones que influyen en los bajos rendimientos industriales en la fabricaci\u00f3n de az\u00facar","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W7220074091"},"language":"es","primary_location":{"id":"pmh:oai:rctd.uic.cu:article/244","doi":null,"is_oa":true,"landing_page_url":"https://rctd.uic.cu/rctd/article/view/244","pdf_url":"https://rctd.uic.cu/rctd/article/download/244/205","source":{"id":"https://openalex.org/S7407065568","display_name":"Revista Cubana de Transformaci\u00f3n Digital","issn_l":"2708-3411","issn":["2708-3411"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["latindex","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2708-3411","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://rctd.uic.cu/rctd/article/download/244/205","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5157240349","display_name":"Yohan Gil Rodriguez","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gil Rodr\u00edguez, Yohan","raw_affiliation_strings":["Empresa AZCUBA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Empresa AZCUBA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078856946","display_name":"Raisa Socorro Llanes","orcid":"https://orcid.org/0000-0002-2627-1912","observed_orcids":["https://orcid.org/0000-0002-2627-1912"]},"institutions":[{"id":"https://openalex.org/I908025542","display_name":"Polytechnic Jos\u00e9 Antonio Echeverr\u00eda","ror":"https://ror.org/0573cnq15","country_code":"CU","type":"education","lineage":["https://openalex.org/I908025542"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Socorro Llanes, Raisa","raw_affiliation_strings":["Universidad Tecnol\u00f3gica de la Habana \"Jos\u00e9 Antonio Echeverr\u00eda\""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Tecnol\u00f3gica de la Habana \"Jos\u00e9 Antonio Echeverr\u00eda\"","institution_ids":["https://openalex.org/I908025542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5157272917","display_name":"L\u00e9rida Hern\u00e1ndez Nodarse","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hern\u00e1ndez Nodarse, L\u00e9rida","raw_affiliation_strings":["Empresa AZCUBA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Empresa AZCUBA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8163999915122986,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8163999915122986,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.06920000165700912,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.030899999663233757,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sugar-industry","display_name":"sugar industry","score":0.9240000247955322},{"id":"https://openalex.org/keywords/industrial-yield","display_name":"industrial yield","score":0.734000027179718},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.7559999823570251},{"id":"https://openalex.org/keywords/crisp-dm","display_name":"CRISP-DM","score":0.7260000109672546},{"id":"https://openalex.org/keywords/knime","display_name":"KNIME","score":0.8080000281333923},{"id":"https://openalex.org/keywords/symbolic-methods","display_name":"symbolic methods","score":0.4830000102519989},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.4729999899864197},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7699999809265137},{"id":"https://openalex.org/keywords/machine-learning-algorithm-comparison","display_name":"machine learning algorithm comparison","score":0.7120000123977661},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"predictive analytics","score":0.44600000977516174},{"id":"https://openalex.org/keywords/prescriptive-analytics","display_name":"prescriptive analytics","score":0.7229999899864197},{"id":"https://openalex.org/keywords/sugar-agroindustry","display_name":"sugar agroindustry","score":0.5960000157356262},{"id":"https://openalex.org/keywords/cuban-sugar-industry","display_name":"Cuban sugar industry","score":0.675000011920929},{"id":"https://openalex.org/keywords/harvest-data","display_name":"harvest data","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C2780681333","wikidata":"https://www.wikidata.org/wiki/Q227870","display_name":"Sugar industry","level":3,"score":0.5978000164031982},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41510000824928284},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3806000053882599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37790000438690186},{"id":"https://openalex.org/C2984157484","wikidata":"https://www.wikidata.org/wiki/Q44497","display_name":"Mining industry","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C68489960","wikidata":"https://www.wikidata.org/wiki/Q2370659","display_name":"Transactional leadership","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.3091000020503998},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C2992790187","wikidata":"https://www.wikidata.org/wiki/Q1145106","display_name":"Historical record","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:rctd.uic.cu:article/244","doi":null,"is_oa":true,"landing_page_url":"https://rctd.uic.cu/rctd/article/view/244","pdf_url":"https://rctd.uic.cu/rctd/article/download/244/205","source":{"id":"https://openalex.org/S7407065568","display_name":"Revista Cubana de Transformaci\u00f3n Digital","issn_l":"2708-3411","issn":["2708-3411"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["latindex","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2708-3411","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:rctd.uic.cu:article/244","doi":null,"is_oa":true,"landing_page_url":"https://rctd.uic.cu/rctd/article/view/244","pdf_url":"https://rctd.uic.cu/rctd/article/download/244/205","source":{"id":"https://openalex.org/S7407065568","display_name":"Revista Cubana de Transformaci\u00f3n Digital","issn_l":"2708-3411","issn":["2708-3411"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["latindex","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2708-3411","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.8970999717712402},{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.7811999917030334},{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5},{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.48510000109672546}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220074091.pdf","grobid_xml":"https://content.openalex.org/works/W7220074091.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W575847903","https://openalex.org/W2000175358","https://openalex.org/W2023990410","https://openalex.org/W2090225689","https://openalex.org/W2611119646","https://openalex.org/W2767875077","https://openalex.org/W2923471156","https://openalex.org/W3012280610","https://openalex.org/W3150938946","https://openalex.org/W3182009020"],"related_works":["https://openalex.org/W7219972856","https://openalex.org/W4390591317","https://openalex.org/W4320021386","https://openalex.org/W2742106019","https://openalex.org/W7217117296","https://openalex.org/W2492749762","https://openalex.org/W7120277667","https://openalex.org/W2519662892","https://openalex.org/W2558249091","https://openalex.org/W4407357863"],"abstract_inverted_index":{"The":[0,49,125,143,172,203,214],"computerization":[1],"of":[2,10,22,25,46,56,65,79,102,105,120,136,161,174,191,196,220,232,247],"sugar":[3,51,234],"industry":[4,52],"processes":[5],"generates":[6],"a":[7,130,217,244],"large":[8],"amount":[9],"data":[11,84,138,149,155,163],"that":[12,61,89,205],"is":[13,240],"increasingly":[14],"stored":[15],"over":[16],"the":[17,20,23,26,31,36,42,54,63,77,87,96,100,133,137,148,153,162,189,194,197,221,230,236,248],"years.":[18],"Currently,":[19],"application":[21],"programs":[24],"agroindustrial":[27],"platform":[28],"existing":[29],"in":[30,70,166,235],"Higher":[32],"Management":[33],"Organization":[34],"for":[35,132,188,199,216],"Sugar":[37],"Agroindustry":[38],"(AZCUBA)":[39],"has":[40],"guaranteed":[41],"speed":[43],"and":[44,59,68,117,193,212,224],"quality":[45],"harvest":[47,106],"information.":[48],"Cuban":[50],"requires":[53],"implementation":[55],"scientific":[57],"tools":[58],"methods":[60,169],"allow":[62],"identification":[64],"hidden":[66],"patterns":[67],"behaviors":[69],"its":[71],"historical":[72],"data.":[73],"This":[74],"article":[75],"presents":[76],"use":[78],"knowledge":[80],"extraction":[81],"techniques":[82,151],"from":[83],"to":[85,128,146,242,250],"identify":[86],"causes":[88],"are":[90,99,210,227],"influencing":[91],"low":[92,207],"industrial":[93,208,237],"yields.":[94],"Among":[95],"materials":[97],"used":[98],"databases":[101],"ten":[103],"years":[104],"(2010-2019),":[107],"which":[108,167],"each":[109],"present":[110],"more":[111],"than":[112],"4":[113],"million":[114],"transactional":[115],"records":[116],"an":[118],"average":[119],"578":[121],"indicators":[122],"per":[123],"year.":[124],"methodology":[126],"selected":[127,145],"establish":[129],"framework":[131],"life":[134],"cycle":[135],"mining":[139,150],"process":[140],"was":[141,152,164,201],"CRISP-DM.":[142],"tool":[144],"apply":[147],"KNIME":[154],"analysis":[156,160,219,246],"platform.":[157],"A":[158],"predictive":[159],"performed,":[165],"symbolic":[168],"were":[170,179],"used.":[171],"metrics":[173],"seven":[175],"machine":[176],"learning":[177],"algorithms":[178],"compared:":[180],"CONJUNCTIVERULE,":[181],"DECISIONTABLE,":[182],"RIDOR,":[183],"FURIA,":[184],"PART,":[185],"JRIP,":[186],"J48,":[187],"selection":[190,195],"features,":[192],"algorithm":[198],"classification":[200],"determined.":[202],"attributes":[204],"influence":[206],"performance":[209],"obtained":[211],"validated.":[213],"bases":[215],"deeper":[218],"necessary":[222],"organizational":[223],"control":[225],"measures":[226],"created,":[228],"with":[229],"objective":[231],"losing":[233],"process.":[238],"It":[239],"recommended":[241],"perform":[243],"prescriptive":[245],"data,":[249],"predict":[251],"logistics":[252],"scenarios.":[253]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-05T00:00:00"}