{"id":"https://openalex.org/W2294833101","doi":null,"title":"Predicci\u00f3n del Fracaso Escolar mediante T\u00e9cnicas de Miner\u00eda de Datos","display_name":"Predicci\u00f3n del Fracaso Escolar mediante T\u00e9cnicas de Miner\u00eda de Datos","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2294833101","mag":"2294833101"},"language":"es","primary_location":{"id":"mag:2294833101","doi":null,"is_oa":false,"landing_page_url":"http://rita.det.uvigo.es/201208/uploads/IEEE-RITA.2012.V7.N3.A1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S17848820","display_name":"IEEE Revista Iberoamericana de Tecnologias del Aprendizaje","issn_l":"1932-8540","issn":["1932-8540","2374-0132"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IEEE Revista Iberoamericana de Tecnologias del Aprendizaje","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5004155819","display_name":"Carlos M\u00e1rquez\u2010Vera","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos M\u00e1rquez\u2010Vera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065641048","display_name":"Crist\u00f3bal Romero","orcid":"https://orcid.org/0000-0003-4180-4948","observed_orcids":["https://orcid.org/0000-0003-4180-4948"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Crist\u00f3bal Romero","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4180-4948","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033238429","display_name":"Sebasti\u00e1n Ventura","orcid":"https://orcid.org/0000-0003-4216-6378","observed_orcids":["https://orcid.org/0000-0003-4216-6378"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebasti\u00e1n Ventura","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4216-6378","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.1089,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92596117,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"7","issue":"3","first_page":"109","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0010999999940395355,"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":0.0003000000142492354,"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/school-dropout","display_name":"school dropout","score":0.7559999823570251},{"id":"https://openalex.org/keywords/junior-high-school-students","display_name":"junior high school students","score":0.7770000100135803},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.8830000162124634},{"id":"https://openalex.org/keywords/rule-learning","display_name":"rule induction","score":0.9110000133514404},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9240000247955322},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.6899999976158142},{"id":"https://openalex.org/keywords/cost-sensitive-classification","display_name":"cost-sensitive classification","score":0.8420000076293945},{"id":"https://openalex.org/keywords/zacatecas","display_name":"Zacatecas","score":0.7990000247955322}],"concepts":[{"id":"https://openalex.org/C2984949393","wikidata":"https://www.wikidata.org/wiki/Q1260241","display_name":"Drop out","level":2,"score":0.6067292094230652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5147971510887146},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.488032728433609},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.473956823348999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35612165927886963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34061092138290405},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0780879557132721},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2294833101","doi":null,"is_oa":false,"landing_page_url":"http://rita.det.uvigo.es/201208/uploads/IEEE-RITA.2012.V7.N3.A1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S17848820","display_name":"IEEE Revista Iberoamericana de Tecnologias del Aprendizaje","issn_l":"1932-8540","issn":["1932-8540","2374-0132"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IEEE Revista Iberoamericana de Tecnologias del Aprendizaje","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9235000014305115,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W83834463","https://openalex.org/W117104530","https://openalex.org/W1570448133","https://openalex.org/W1574206268","https://openalex.org/W1579311589","https://openalex.org/W1594031697","https://openalex.org/W1978515644","https://openalex.org/W1990830572","https://openalex.org/W2006444123","https://openalex.org/W2027711578","https://openalex.org/W2106717332","https://openalex.org/W2112506197","https://openalex.org/W2125055259","https://openalex.org/W2125995537","https://openalex.org/W2135080565","https://openalex.org/W2148143831","https://openalex.org/W2171562468","https://openalex.org/W2606896922","https://openalex.org/W2966207845","https://openalex.org/W3085162807","https://openalex.org/W3157546495"],"related_works":["https://openalex.org/W1965620485","https://openalex.org/W2402641321","https://openalex.org/W6995740078","https://openalex.org/W1633048290","https://openalex.org/W2213130570","https://openalex.org/W4388745241","https://openalex.org/W2046179751","https://openalex.org/W1631465872","https://openalex.org/W2187329713","https://openalex.org/W2930487773"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"to":[3,8,40],"apply":[4],"data":[5,18],"mining":[6],"techniques":[7],"predict":[9],"school":[10],"failure":[11],"and":[12,26,35,65,69,79],"drop":[13,51],"out.":[14],"We":[15],"use":[16],"real":[17],"on":[19],"670":[20],"middle-school":[21],"students":[22,47],"from":[23],"Zacatecas,":[24],"Mexico":[25],"employ":[27],"white-box":[28],"classification":[29],"methods":[30],"such":[31],"as":[32],"induction":[33],"rules":[34],"decision":[36],"trees.":[37],"Experiments":[38],"attempt":[39],"improve":[41],"their":[42],"accuracy":[43],"for":[44],"predicting":[45],"which":[46],"might":[48],"fail":[49],"or":[50],"out":[52],"by:":[53],"firstly,":[54],"using":[55,70],"all":[56],"the":[57,62,80],"available":[58],"attributes;":[59,64],"next,":[60],"selecting":[61],"best":[63,81],"finally,":[66],"rebalancing":[67],"data,":[68],"cost":[71],"sensitive":[72],"classification.":[73],"The":[74],"outcomes":[75],"have":[76],"been":[77],"compared":[78],"resulting":[82],"models":[83],"are":[84],"shown.":[85]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2016-06-24T00:00:00"}