{"id":"https://openalex.org/W3120147157","doi":"https://doi.org/10.1109/acit50332.2020.9300091","title":"Learning the Structure of the Tree and Tree Augmented Naive Bayesian from Incomplete and Imbalanced Data","display_name":"Learning the Structure of the Tree and Tree Augmented Naive Bayesian from Incomplete and Imbalanced Data","publication_year":2020,"publication_date":"2020-11-28","ids":{"openalex":"https://openalex.org/W3120147157","doi":"https://doi.org/10.1109/acit50332.2020.9300091","mag":"3120147157"},"language":"en","primary_location":{"id":"doi:10.1109/acit50332.2020.9300091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit50332.2020.9300091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 21st International Arab Conference on Information Technology (ACIT)","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/A5022737149","display_name":"Issam Salman","orcid":"https://orcid.org/0000-0002-4801-6277"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Issam Salman","raw_affiliation_strings":["Department of Software Engineering, Faculty of Nuclear Science and Physical Engineering, Czech Technical University, Prague, CZ"],"raw_orcid":"https://orcid.org/0000-0002-4801-6277","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Faculty of Nuclear Science and Physical Engineering, Czech Technical University, Prague, CZ","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022737149"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19131392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"56","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994999766349792,"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":0.9994999766349792,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9721999764442444,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7004969716072083},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6704700589179993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6655846238136292},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6552631855010986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6051862239837646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5977420210838318},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5784235000610352},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.5399376153945923},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5267329216003418},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.5242667198181152},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5157182812690735},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.48741963505744934},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44764941930770874},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.3713548183441162},{"id":"https://openalex.org/keywords/bayesian-hierarchical-modeling","display_name":"Bayesian hierarchical modeling","score":0.2524002492427826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21377283334732056}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7004969716072083},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6704700589179993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655846238136292},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6552631855010986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6051862239837646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5977420210838318},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5784235000610352},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.5399376153945923},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5267329216003418},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.5242667198181152},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5157182812690735},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.48741963505744934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44764941930770874},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3713548183441162},{"id":"https://openalex.org/C191413810","wikidata":"https://www.wikidata.org/wiki/Q17100952","display_name":"Bayesian hierarchical modeling","level":4,"score":0.2524002492427826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21377283334732056},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit50332.2020.9300091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit50332.2020.9300091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 21st International Arab Conference on Information Technology (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W50014760","https://openalex.org/W1503398984","https://openalex.org/W1511986666","https://openalex.org/W1817561967","https://openalex.org/W2130444032","https://openalex.org/W2153149612","https://openalex.org/W2159080219","https://openalex.org/W2163166770","https://openalex.org/W2165418121","https://openalex.org/W2334028018","https://openalex.org/W2787894218","https://openalex.org/W2799061466","https://openalex.org/W3136726919","https://openalex.org/W4230946174","https://openalex.org/W4246035281","https://openalex.org/W4297792526","https://openalex.org/W6602071923"],"related_works":["https://openalex.org/W4211221765","https://openalex.org/W4309448762","https://openalex.org/W1700460858","https://openalex.org/W2955993489","https://openalex.org/W2417174640","https://openalex.org/W4385388142","https://openalex.org/W2364194352","https://openalex.org/W4237728685","https://openalex.org/W4286521085","https://openalex.org/W2089519699"],"abstract_inverted_index":{"In":[0,32],"many":[1],"fields,":[2],"such":[3],"as":[4],"decision,":[5],"diagnosis,":[6],"or":[7],"predication,":[8],"the":[9,41],"Bayesian":[10],"network":[11],"formalism":[12],"is":[13,28],"becoming":[14],"increasingly":[15],"common,":[16],"that":[17],"especially":[18],"thanks":[19],"particularly":[20],"to":[21,39],"its":[22],"inferential":[23],"capabilities,":[24],"even":[25],"when":[26],"data":[27],"incomplete":[29,52],"and":[30,45,53],"imbalanced.":[31],"this":[33],"paper,":[34],"we":[35],"present":[36],"an":[37],"approach":[38],"learn":[40],"structure":[42],"of":[43],"Chow-Liu":[44],"Tree":[46],"Augmented":[47],"Na\u00efve":[48],"Bayes":[49],"(TAN)":[50],"from":[51],"imbalanced":[54],"datasets.":[55]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
