{"id":"https://openalex.org/W416014212","doi":"https://doi.org/10.1109/tnnls.2015.2430277","title":"Tree Ensembles on the Induced Discrete Space","display_name":"Tree Ensembles on the Induced Discrete Space","publication_year":2015,"publication_date":"2015-05-21","ids":{"openalex":"https://openalex.org/W416014212","doi":"https://doi.org/10.1109/tnnls.2015.2430277","mag":"416014212","pmid":"https://pubmed.ncbi.nlm.nih.gov/26011897"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2015.2430277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2430277","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11729/863","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040262351","display_name":"Olcay Taner Y\u0131ld\u0131z","orcid":"https://orcid.org/0000-0001-5838-4615"},"institutions":[{"id":"https://openalex.org/I167234411","display_name":"I\u015f\u0131k University","ror":"https://ror.org/02j8k6t75","country_code":"TR","type":"education","lineage":["https://openalex.org/I167234411"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Olcay Taner Yildiz","raw_affiliation_strings":["Department of Computer Engineering, I\u015f\u0131k University, Istanbul, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, I\u015f\u0131k University, Istanbul, Istanbul, Turkey","institution_ids":["https://openalex.org/I167234411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040262351"],"corresponding_institution_ids":["https://openalex.org/I167234411"],"apc_list":null,"apc_paid":null,"fwci":0.8296,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79877949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":"5","first_page":"1108","last_page":"1113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/random-forest","display_name":"Random forest","score":0.8248240947723389},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6591302752494812},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6259303689002991},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5418281555175781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5349029302597046},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.523820698261261},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5209823250770569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47254490852355957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4628092348575592},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4420646131038666},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.44140326976776123},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4274172782897949},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42247068881988525},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.41406357288360596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4105875790119171},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.401053786277771},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2180505096912384}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8248240947723389},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6591302752494812},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6259303689002991},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5418281555175781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5349029302597046},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.523820698261261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5209823250770569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47254490852355957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4628092348575592},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4420646131038666},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.44140326976776123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4274172782897949},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42247068881988525},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.41406357288360596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4105875790119171},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.401053786277771},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2180505096912384},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2015.2430277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2430277","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26011897","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26011897","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/863","is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/863","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:localhost:11729/863","is_oa":true,"landing_page_url":"http://hdl.handle.net/11729/863","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/863","is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/863","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W69407335","https://openalex.org/W1504694836","https://openalex.org/W2090510966","https://openalex.org/W2125055259","https://openalex.org/W2146424733","https://openalex.org/W2149706766","https://openalex.org/W2330820318","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W4206070770","https://openalex.org/W4212883601","https://openalex.org/W4236137412","https://openalex.org/W4251435456","https://openalex.org/W6602766936"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W4243803609"],"abstract_inverted_index":{"Decision":[0],"trees":[1],"are":[2,36],"widely":[3],"used":[4,37],"predictive":[5],"models":[6],"in":[7,42],"machine":[8],"learning.":[9],"Recently,":[10],"K":[11,47,69],"-tree":[12,48],"is":[13,21,81],"proposed,":[14],"where":[15,76],"the":[16,39,53,85,97,108,113],"original":[17,114],"discrete":[18,31,87],"feature":[19,115],"space":[20],"expanded":[22],"by":[23],"generating":[24],"all":[25],"orderings":[26,35],"of":[27,29,73,79],"values":[28],"k":[30],"attributes":[32,41],"and":[33],"these":[34],"as":[38],"new":[40],"decision":[43],"tree":[44],"induction.":[45],"Although":[46],"performs":[49],"significantly":[50,102],"better":[51],"than":[52],"proper":[54],"one,":[55],"their":[56,62],"exponential":[57],"time":[58],"complexity":[59],"can":[60],"prohibit":[61],"use.":[63],"In":[64],"this":[65],"brief,":[66],"we":[67],"propose":[68],"-forest,":[70],"an":[71],"extension":[72],"random":[74,109],"forest,":[75],"a":[77],"subset":[78],"features":[80],"selected":[82],"randomly":[83],"from":[84],"induced":[86],"space.":[88,116],"Simulation":[89],"results":[90],"on":[91,112],"17":[92],"data":[93],"sets":[94],"show":[95],"that":[96],"novel":[98],"ensemble":[99],"classifier":[100],"has":[101],"lower":[103],"error":[104],"rate":[105],"compared":[106],"with":[107],"forest":[110],"based":[111]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}