{"id":"https://openalex.org/W2943307880","doi":"https://doi.org/10.1145/3297280.3297406","title":"Causality relationship among attributes applied in an educational data set","display_name":"Causality relationship among attributes applied in an educational data set","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2943307880","doi":"https://doi.org/10.1145/3297280.3297406","mag":"2943307880"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","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/A5011756891","display_name":"Walisson Ferreira Carvalho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135669","display_name":"Centro Universit\u00e1rio Una","ror":"https://ror.org/04dcx0979","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210135669"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Walisson Ferreira de Carvalho","raw_affiliation_strings":["Centro Universitario Una, Belo Horizonte, Minas Gerais - Brazil"],"affiliations":[{"raw_affiliation_string":"Centro Universitario Una, Belo Horizonte, Minas Gerais - Brazil","institution_ids":["https://openalex.org/I4210135669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056686523","display_name":"Luis E. Z\u00e1rate","orcid":"https://orcid.org/0000-0001-7063-1658"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Enrique Zarate","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais, Belo Horizonte, Minas Gerais - Brazil"],"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais, Belo Horizonte, Minas Gerais - Brazil","institution_ids":["https://openalex.org/I170935008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011756891"],"corresponding_institution_ids":["https://openalex.org/I4210135669"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7731118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1271","last_page":"1277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9984999895095825,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9984999895095825,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9358000159263611,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9228000044822693,"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/causality","display_name":"Causality (physics)","score":0.8213513493537903},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.744306206703186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543805003166199},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.6181991696357727},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6061649322509766},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5218906998634338},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.5193634629249573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4795660376548767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4535742998123169},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45257821679115295},{"id":"https://openalex.org/keywords/set-theory","display_name":"Set theory","score":0.43660280108451843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38268405199050903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23895803093910217},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.15299075841903687},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14442533254623413}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.8213513493537903},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.744306206703186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543805003166199},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.6181991696357727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6061649322509766},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5218906998634338},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.5193634629249573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4795660376548767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4535742998123169},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45257821679115295},{"id":"https://openalex.org/C153046414","wikidata":"https://www.wikidata.org/wiki/Q12482","display_name":"Set theory","level":3,"score":0.43660280108451843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38268405199050903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23895803093910217},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.15299075841903687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14442533254623413},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297280.3297406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1518082915","https://openalex.org/W1524326598","https://openalex.org/W1526097585","https://openalex.org/W1543507677","https://openalex.org/W1569653074","https://openalex.org/W1586003574","https://openalex.org/W1645969895","https://openalex.org/W1984705383","https://openalex.org/W2004019518","https://openalex.org/W2017470614","https://openalex.org/W2115984935","https://openalex.org/W2129564794","https://openalex.org/W2143891888","https://openalex.org/W2195678348","https://openalex.org/W2335019274","https://openalex.org/W2491030098","https://openalex.org/W2729915797","https://openalex.org/W2789474847","https://openalex.org/W2799315307","https://openalex.org/W2903571680","https://openalex.org/W3086148890","https://openalex.org/W3101407275","https://openalex.org/W4285719527","https://openalex.org/W4302423442"],"related_works":["https://openalex.org/W1611624937","https://openalex.org/W2161504683","https://openalex.org/W2574301230","https://openalex.org/W4386620154","https://openalex.org/W4389961576","https://openalex.org/W4294555408","https://openalex.org/W4372260129","https://openalex.org/W1153243621","https://openalex.org/W4299782962","https://openalex.org/W4386839885"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"Causal":[3],"Inference":[4],"theory":[5],"applied":[6],"in":[7,62],"education":[8],"area.":[9],"It":[10],"were":[11,46],"used":[12],"data":[13,45],"set":[14],"extracted":[15],"from":[16],"the":[17,26,33,69,72],"Learning":[18],"Management":[19],"System":[20],"Moodle":[21],"containing":[22],"actions":[23,67],"performed":[24],"by":[25],"students":[27],"during":[28],"20":[29],"weeks":[30],"that":[31],"lasted":[32],"online":[34],"course":[35],"of":[36,66,71],"Algorithm":[37,54],"and":[38,55],"Data":[39],"Structure.":[40],"After":[41],"being":[42],"pre":[43],"processed,":[44],"submitted":[47],"to":[48,56],"causal":[49,64],"structure":[50],"search":[51],"using":[52,58],"PC":[53],"interventions":[57],"do-calculus":[59],"method,":[60],"resulting":[61],"computed":[63],"effects":[65],"on":[68],"performance":[70],"students.":[73]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
