{"id":"https://openalex.org/W2286952300","doi":"https://doi.org/10.1007/978-3-662-45237-0_22","title":"Decision Trees and Their Families in Imbalanced Pattern Recognition: Recognition with and without Rejection","display_name":"Decision Trees and Their Families in Imbalanced Pattern Recognition: Recognition with and without Rejection","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2286952300","doi":"https://doi.org/10.1007/978-3-662-45237-0_22","mag":"2286952300"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-45237-0_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-45237-0_22","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":true,"oa_status":"gold","oa_url":"https://inria.hal.science/hal-01405585","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075878748","display_name":"W\u0142adys\u0142aw Homenda","orcid":"https://orcid.org/0000-0001-7787-4927"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Wladyslaw Homenda","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-660, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-660, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738640","display_name":"Wojciech Lesi\u0144ski","orcid":"https://orcid.org/0000-0001-6628-9466"},"institutions":[{"id":"https://openalex.org/I245364917","display_name":"University of Bia\u0142ystok","ror":"https://ror.org/01qaqcf60","country_code":"PL","type":"education","lineage":["https://openalex.org/I245364917"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Wojciech Lesinski","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Bialystok, ul. Sosnowa 64, 15-887, Bialystok, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Bialystok, ul. Sosnowa 64, 15-887, Bialystok, Poland","institution_ids":["https://openalex.org/I245364917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075878748"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.3462,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63533044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9871000051498413,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9797000288963318,"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":0.739884614944458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079973220825195},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6946893334388733},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.601870059967041},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.599036693572998},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5903339385986328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5891112089157104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586122453212738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5359452962875366},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5174242258071899},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.428196519613266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1736885905265808}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.739884614944458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079973220825195},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6946893334388733},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.601870059967041},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.599036693572998},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5903339385986328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5891112089157104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586122453212738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5359452962875366},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5174242258071899},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.428196519613266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1736885905265808},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-662-45237-0_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-45237-0_22","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"},{"id":"pmh:oai:HAL:hal-01405585v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01405585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.219-230, &#x27E8;10.1007/978-3-662-45237-0_22&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01405585v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01405585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.219-230, &#x27E8;10.1007/978-3-662-45237-0_22&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W32216166","https://openalex.org/W1486322354","https://openalex.org/W2018186689","https://openalex.org/W2045220951","https://openalex.org/W2098576843","https://openalex.org/W2118978333","https://openalex.org/W2124868070","https://openalex.org/W2149706766","https://openalex.org/W2483237440","https://openalex.org/W2485307888","https://openalex.org/W2487087946","https://openalex.org/W2574611044","https://openalex.org/W2799061466","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2915503652","https://openalex.org/W2918019506","https://openalex.org/W4239875977","https://openalex.org/W4240384788"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W2073883415","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W2652414671","https://openalex.org/W4281917970","https://openalex.org/W1845209238","https://openalex.org/W3080944905"],"abstract_inverted_index":{"Decision":[0,104],"trees":[1,16,105,112],"are":[2,28,57,63,119,123],"considered":[3],"to":[4,20,45],"be":[5],"among":[6],"the":[7,21,49,97],"best":[8],"classifiers.":[9],"In":[10,84],"this":[11,85],"work":[12],"we":[13,87],"use":[14],"decision":[15,111],"and":[17,34,52,62,75,106,116,128],"its":[18],"families":[19],"problem":[22],"of":[23,30,55,59,72,90,92,100,109],"imbalanced":[24,73,93],"data":[25,74,94],"recognition.":[26],"Considered":[27],"aspects":[29],"recognition":[31,76,95,126],"without":[32,127],"rejection":[33,78],"with":[35,77,129],"rejection:":[36],"it":[37],"is":[38],"assumed":[39],"that":[40,53],"all":[41],"recognized":[42],"elements":[43],"belong":[44],"desired":[46],"classes":[47,61],"in":[48],"first":[50],"case":[51,98],"some":[54],"them":[56],"outside":[58],"such":[60],"not":[64],"known":[65],"at":[66],"classifier\u2019s":[67],"training":[68],"stage.":[69],"The":[70],"facets":[71],"affect":[79],"different":[80],"real":[81],"world":[82],"problems.":[83],"paper":[86],"discuss":[88],"results":[89],"experiment":[91],"on":[96],"study":[99],"music":[101],"notation":[102],"symbols.":[103],"three":[107],"methods":[108,122],"joining":[110],"(simple":[113],"voting,":[114],"bagging":[115],"random":[117],"forest)":[118],"studied.":[120],"These":[121],"used":[124],"for":[125],"rejection.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
