{"id":"https://openalex.org/W2005530589","doi":"https://doi.org/10.1145/2431211.2431215","title":"A survey of cost-sensitive decision tree induction algorithms","display_name":"A survey of cost-sensitive decision tree induction algorithms","publication_year":2013,"publication_date":"2013-02-01","ids":{"openalex":"https://openalex.org/W2005530589","doi":"https://doi.org/10.1145/2431211.2431215","mag":"2005530589"},"language":"en","primary_location":{"id":"doi:10.1145/2431211.2431215","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2431211.2431215","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://usir.salford.ac.uk/id/eprint/18927/1/LomaxandVaderaCompSurvey2011.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056241216","display_name":"Susan Lomax","orcid":null},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Susan Lomax","raw_affiliation_strings":["University of Salford, Salford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salford, Salford, UK","institution_ids":["https://openalex.org/I54459138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076454480","display_name":"Sunil Vadera","orcid":"https://orcid.org/0000-0001-6041-2646"},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sunil Vadera","raw_affiliation_strings":["University of Salford, Salford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salford, Salford, UK","institution_ids":["https://openalex.org/I54459138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I54459138"],"apc_list":null,"apc_paid":null,"fwci":33.8385,"has_fulltext":false,"cited_by_count":193,"citation_normalized_percentile":{"value":0.99706139,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"45","issue":"2","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9955999851226807,"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":0.9836000204086304,"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/computer-science","display_name":"Computer science","score":0.8617607355117798},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.8329073190689087},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7854440808296204},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.7723551392555237},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5765093564987183},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5238609313964844},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.5119608640670776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500138521194458},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4548925757408142},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44089072942733765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41426533460617065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3461211919784546},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.18163329362869263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07105347514152527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8617607355117798},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.8329073190689087},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7854440808296204},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.7723551392555237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5765093564987183},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5238609313964844},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.5119608640670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500138521194458},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4548925757408142},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44089072942733765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41426533460617065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3461211919784546},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.18163329362869263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07105347514152527},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2431211.2431215","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2431211.2431215","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.399.3122","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.399.3122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://usir.salford.ac.uk/18927/1/LomaxandVaderaCompSurvey2011.pdf","raw_type":"text"},{"id":"pmh:oai:usir.salford.ac.uk:18927","is_oa":true,"landing_page_url":"http://usir.salford.ac.uk/id/eprint/18927/1/LomaxandVaderaCompSurvey2011.pdf","pdf_url":"http://usir.salford.ac.uk/id/eprint/18927/1/LomaxandVaderaCompSurvey2011.pdf","source":{"id":"https://openalex.org/S4306401501","display_name":"University of Salford Institutional Repository (University of Salford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54459138","host_organization_name":"University of Salford","host_organization_lineage":["https://openalex.org/I54459138"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:usir.salford.ac.uk:18927","is_oa":true,"landing_page_url":"http://usir.salford.ac.uk/id/eprint/18927/1/LomaxandVaderaCompSurvey2011.pdf","pdf_url":"http://usir.salford.ac.uk/id/eprint/18927/1/LomaxandVaderaCompSurvey2011.pdf","source":{"id":"https://openalex.org/S4306401501","display_name":"University of Salford Institutional Repository (University of Salford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54459138","host_organization_name":"University of Salford","host_organization_lineage":["https://openalex.org/I54459138"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2005530589.pdf"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W87848775","https://openalex.org/W128984794","https://openalex.org/W163887238","https://openalex.org/W167016754","https://openalex.org/W198668225","https://openalex.org/W329913983","https://openalex.org/W611848211","https://openalex.org/W1485329956","https://openalex.org/W1495654352","https://openalex.org/W1499467920","https://openalex.org/W1503605645","https://openalex.org/W1513386654","https://openalex.org/W1515231270","https://openalex.org/W1515620500","https://openalex.org/W1519196800","https://openalex.org/W1519796903","https://openalex.org/W1527418157","https://openalex.org/W1529972356","https://openalex.org/W1530939650","https://openalex.org/W1534897962","https://openalex.org/W1540371141","https://openalex.org/W1544464406","https://openalex.org/W1553080079","https://openalex.org/W1553313034","https://openalex.org/W1559996711","https://openalex.org/W1560597350","https://openalex.org/W1566212037","https://openalex.org/W1567276288","https://openalex.org/W1567797675","https://openalex.org/W1568733146","https://openalex.org/W1580049798","https://openalex.org/W1580662873","https://openalex.org/W1589187426","https://openalex.org/W1594031697","https://openalex.org/W1595468493","https://openalex.org/W1604329830","https://openalex.org/W1704669313","https://openalex.org/W1819386543","https://openalex.org/W1826478421","https://openalex.org/W1841999836","https://openalex.org/W1856927991","https://openalex.org/W1966602182","https://openalex.org/W1984135268","https://openalex.org/W1984712439","https://openalex.org/W1988790447","https://openalex.org/W1994307314","https://openalex.org/W1995875735","https://openalex.org/W2003603259","https://openalex.org/W2004920798","https://openalex.org/W2014208555","https://openalex.org/W2017439650","https://openalex.org/W2032210760","https://openalex.org/W2033326122","https://openalex.org/W2038030840","https://openalex.org/W2041404167","https://openalex.org/W2048319198","https://openalex.org/W2054658115","https://openalex.org/W2058732827","https://openalex.org/W2074584355","https://openalex.org/W2076774407","https://openalex.org/W2098576843","https://openalex.org/W2101416352","https://openalex.org/W2104597806","https://openalex.org/W2107742354","https://openalex.org/W2109483014","https://openalex.org/W2112076978","https://openalex.org/W2112768912","https://openalex.org/W2116298505","https://openalex.org/W2120507934","https://openalex.org/W2125055259","https://openalex.org/W2128128566","https://openalex.org/W2128420091","https://openalex.org/W2132099245","https://openalex.org/W2135125546","https://openalex.org/W2140441384","https://openalex.org/W2142183404","https://openalex.org/W2142261479","https://openalex.org/W2149706766","https://openalex.org/W2152136853","https://openalex.org/W2152761983","https://openalex.org/W2154364421","https://openalex.org/W2157751754","https://openalex.org/W2159047538","https://openalex.org/W2163667253","https://openalex.org/W2170616581","https://openalex.org/W2316166351","https://openalex.org/W2531563875","https://openalex.org/W2560674852","https://openalex.org/W2561675875","https://openalex.org/W2608239929","https://openalex.org/W2912934387","https://openalex.org/W2913668833","https://openalex.org/W2997709458","https://openalex.org/W3020348090","https://openalex.org/W4244952642","https://openalex.org/W4255367155","https://openalex.org/W4285719527","https://openalex.org/W4301173492"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3137904399","https://openalex.org/W4310224730","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326","https://openalex.org/W1985505753"],"abstract_inverted_index":{"The":[0,58],"past":[1],"decade":[2],"has":[3,84],"seen":[4],"a":[5,74,77,89],"significant":[6],"interest":[7],"on":[8],"the":[9,26,82],"problem":[10],"of":[11,18,20,24,44,80],"inducing":[12],"decision":[13,30,70],"trees":[14],"that":[15,40],"take":[16],"account":[17],"costs":[19,23],"misclassification":[21],"and":[22,53,56,65,86],"acquiring":[25],"features":[27],"used":[28],"for":[29,93],"making.":[31],"This":[32],"survey":[33,59],"identifies":[34],"over":[35],"50":[36],"algorithms":[37],"including":[38],"approaches":[39,67],"are":[41],"direct":[42],"adaptations":[43],"accuracy-based":[45],"methods,":[46],"use":[47,50],"genetic":[48],"algorithms,":[49],"anytime":[51],"methods":[52],"utilize":[54],"boosting":[55],"bagging.":[57],"brings":[60],"together":[61],"these":[62],"different":[63],"studies":[64],"novel":[66],"to":[68],"cost-sensitive":[69],"tree":[71],"learning,":[72],"provides":[73],"useful":[75,90],"taxonomy,":[76],"historical":[78],"timeline":[79],"how":[81],"field":[83],"developed":[85],"should":[87],"provide":[88],"reference":[91],"point":[92],"future":[94],"research":[95],"in":[96],"this":[97],"field.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
