{"id":"https://openalex.org/W1786318704","doi":"https://doi.org/10.3233/ifs-120741","title":"A hybrid decision tree classifier","display_name":"A hybrid decision tree classifier","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1786318704","doi":"https://doi.org/10.3233/ifs-120741","mag":"1786318704"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-120741","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-120741","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5066370772","display_name":"Sotiris Kotsiantis","orcid":"https://orcid.org/0000-0002-2247-3082"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Sotiris Kotsiantis","raw_affiliation_strings":["Educational Software Development Laboratory, Department of Mathematics, University of Patras, Rio, Greece"],"affiliations":[{"raw_affiliation_string":"Educational Software Development Laboratory, Department of Mathematics, University of Patras, Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066370772"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":2.3667,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90127943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"1","first_page":"327","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9990000128746033,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9990000128746033,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9983999729156494,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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/decision-tree","display_name":"Decision tree","score":0.843898355960846},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7803200483322144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7522004842758179},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.6163771748542786},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.612588107585907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093531847000122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.60163813829422},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.5915921330451965},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.5875488519668579},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5269708633422852},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.500601053237915},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4929506778717041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45126771926879883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3821770250797272},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09632062911987305}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.843898355960846},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7803200483322144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522004842758179},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.6163771748542786},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.612588107585907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093531847000122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.60163813829422},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.5915921330451965},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.5875488519668579},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5269708633422852},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.500601053237915},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4929506778717041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45126771926879883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3821770250797272},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09632062911987305},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-120741","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-120741","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W121671687","https://openalex.org/W1483135265","https://openalex.org/W1489069776","https://openalex.org/W1509515766","https://openalex.org/W1530855510","https://openalex.org/W1559060276","https://openalex.org/W1559850777","https://openalex.org/W1564634668","https://openalex.org/W1576962511","https://openalex.org/W1577892110","https://openalex.org/W1589195347","https://openalex.org/W1598873931","https://openalex.org/W1608073040","https://openalex.org/W1780185704","https://openalex.org/W1950799881","https://openalex.org/W1965120561","https://openalex.org/W1966907853","https://openalex.org/W1981039744","https://openalex.org/W1982525872","https://openalex.org/W1988790447","https://openalex.org/W2003275871","https://openalex.org/W2003927776","https://openalex.org/W2006686080","https://openalex.org/W2017986871","https://openalex.org/W2050829396","https://openalex.org/W2052812103","https://openalex.org/W2075360851","https://openalex.org/W2079710260","https://openalex.org/W2086154282","https://openalex.org/W2097734546","https://openalex.org/W2098824882","https://openalex.org/W2105038653","https://openalex.org/W2108949035","https://openalex.org/W2113242816","https://openalex.org/W2115328185","https://openalex.org/W2125283600","https://openalex.org/W2140785063","https://openalex.org/W2161349318","https://openalex.org/W2161960932","https://openalex.org/W2164400088","https://openalex.org/W2168046285","https://openalex.org/W2171665309","https://openalex.org/W2911964244","https://openalex.org/W2912391306","https://openalex.org/W2912934387","https://openalex.org/W2966207845","https://openalex.org/W3085162807","https://openalex.org/W3120740533","https://openalex.org/W3123294050","https://openalex.org/W3150156895","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2338994166","https://openalex.org/W4243803609","https://openalex.org/W1982169401","https://openalex.org/W4385640509","https://openalex.org/W4302004071","https://openalex.org/W2087668131","https://openalex.org/W4319437832","https://openalex.org/W4293786841","https://openalex.org/W2591672004","https://openalex.org/W2031683523"],"abstract_inverted_index":{"Decision":[0],"tree":[1,24],"techniques":[2],"have":[3],"been":[4],"widely":[5],"used":[6],"to":[7,16],"build":[8],"classification":[9],"models.":[10],"In":[11],"this":[12],"study,":[13],"we":[14],"attempted":[15],"increase":[17],"the":[18,49],"prediction":[19],"accuracy":[20,55],"of":[21,30],"a":[22,36],"decision":[23],"model":[25],"by":[26],"integrating":[27],"local":[28],"application":[29],"Naive":[31],"Bayes":[32],"classifier.":[33],"We":[34],"performed":[35],"large-scale":[37],"comparison":[38],"with":[39],"other":[40],"state-of-the-art":[41],"algorithms":[42],"on":[43],"30":[44],"standard":[45],"benchmark":[46],"datasets":[47],"and":[48],"proposed":[50],"method":[51],"gave":[52],"statistical":[53],"better":[54],"in":[56],"some":[57],"cases.":[58]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}