{"id":"https://openalex.org/W1516015836","doi":"https://doi.org/10.1007/bfb0095254","title":"Generating classifier committees by stochastically selecting both attributes and training examples","display_name":"Generating classifier committees by stochastically selecting both attributes and training examples","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W1516015836","doi":"https://doi.org/10.1007/bfb0095254","mag":"1516015836"},"language":"en","primary_location":{"id":"doi:10.1007/bfb0095254","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bfb0095254","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5035137146","display_name":"Zijan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zijan Zheng","raw_affiliation_strings":["School of Computing and Mathematics, Deakin University, 3217, Geelong, Victoria, Australia","Deakin University"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Deakin University, 3217, Geelong, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Deakin University","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035137146"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13359452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9977999925613403,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9977999925613403,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9975000023841858,"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.892289400100708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7990128993988037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7483325004577637},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7304590940475464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7075319886207581},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.648057758808136},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6043555736541748},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6000402569770813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4003964960575104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3627123534679413},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.2805274426937103}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.892289400100708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990128993988037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7483325004577637},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7304590940475464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7075319886207581},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.648057758808136},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6043555736541748},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6000402569770813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4003964960575104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3627123534679413},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2805274426937103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/bfb0095254","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bfb0095254","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W47559851","https://openalex.org/W1482451543","https://openalex.org/W1496929357","https://openalex.org/W1553313034","https://openalex.org/W1556891380","https://openalex.org/W1588833628","https://openalex.org/W1597165973","https://openalex.org/W1606583174","https://openalex.org/W1676820704","https://openalex.org/W1680392829","https://openalex.org/W1966280301","https://openalex.org/W2019778169","https://openalex.org/W2042614373","https://openalex.org/W2052450063","https://openalex.org/W2070534370","https://openalex.org/W2093717447","https://openalex.org/W2112076978","https://openalex.org/W2125055259","https://openalex.org/W2152761983","https://openalex.org/W2912934387","https://openalex.org/W2914859268","https://openalex.org/W2982720039"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W4310224730","https://openalex.org/W3094138326"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
