{"id":"https://openalex.org/W2102972601","doi":"https://doi.org/10.1080/088395101317018582","title":"Improving the accuracy of decision tree induction by feature preselection","display_name":"Improving the accuracy of decision tree induction by feature preselection","publication_year":2001,"publication_date":"2001-09-01","ids":{"openalex":"https://openalex.org/W2102972601","doi":"https://doi.org/10.1080/088395101317018582","mag":"2102972601"},"language":"en","primary_location":{"id":"doi:10.1080/088395101317018582","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395101317018582","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395101317018582?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395101317018582?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085866048","display_name":"Petra Perner","orcid":"https://orcid.org/0000-0003-3355-1397"},"institutions":[{"id":"https://openalex.org/I4210116523","display_name":"Institute of Computer Vision and Applied Computer Sciences","ror":"https://ror.org/02b790a63","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210116523"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Petra Perner","raw_affiliation_strings":["Institute of Computer Vision and Applied Computer Sciences , Leipzig , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Vision and Applied Computer Sciences , Leipzig , Germany","institution_ids":["https://openalex.org/I4210116523"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085866048"],"corresponding_institution_ids":["https://openalex.org/I4210116523"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.3392,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.90482105,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"8","first_page":"747","last_page":"760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9969000220298767,"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":0.9937999844551086,"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":0.8404433727264404},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7263839244842529},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7047308087348938},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6881375908851624},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6402277946472168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6381859183311462},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.6189509034156799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5607560873031616},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5459621548652649},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.5194570422172546},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.47214818000793457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46407273411750793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44641363620758057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404433727264404},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7263839244842529},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7047308087348938},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6881375908851624},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6402277946472168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6381859183311462},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.6189509034156799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5607560873031616},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5459621548652649},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.5194570422172546},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.47214818000793457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46407273411750793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44641363620758057},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/088395101317018582","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395101317018582","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395101317018582?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.127.2469","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.2469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.data-mining-tutorial.de/document/art16.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1080/088395101317018582","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395101317018582","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395101317018582?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2102972601.pdf","grobid_xml":"https://content.openalex.org/works/W2102972601.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W47126999","https://openalex.org/W187357405","https://openalex.org/W190437827","https://openalex.org/W1523646822","https://openalex.org/W1602699467","https://openalex.org/W1849729440","https://openalex.org/W1922088750","https://openalex.org/W2014915963","https://openalex.org/W2039537889","https://openalex.org/W2098057602","https://openalex.org/W2125055259","https://openalex.org/W2135346934","https://openalex.org/W2146424733","https://openalex.org/W2148633389","https://openalex.org/W2156794869","https://openalex.org/W2164064098","https://openalex.org/W2504658994"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W2591672004","https://openalex.org/W4319437832","https://openalex.org/W2030894524","https://openalex.org/W1648970942","https://openalex.org/W4243803609","https://openalex.org/W4387869645","https://openalex.org/W957478802","https://openalex.org/W2356463514","https://openalex.org/W2350430350"],"abstract_inverted_index":{"Selecting":[0],"the":[1,11,45,66,69,77,83,98,111,116],"right":[2],"set":[3],"of":[4,10,68,79,86,97,118],"features":[5,63,119],"for":[6,110,121,129],"classification":[7,42,122],"is":[8,56,127,136],"one":[9],"most":[12],"important":[13,128],"problems":[14],"in":[15,29,51],"designing":[16],"a":[17,52,89,137],"good":[18],"classifier.":[19],"Decision":[20],"tree":[21],"induction":[22],"algorithms":[23,43],"such":[24],"as":[25],"C4.5":[26,70,87,99],"have":[27],"incorporated":[28],"their":[30],"learning":[31,112],"phase":[32,109],"an":[33,105],"automatic":[34],"feature":[35,46,80,107,134],"selection":[36],"strategy,":[37],"while":[38],"some":[39],"other":[40],"statistical":[41],"require":[44],"subset":[47],"to":[48],"be":[49,102,124],"selected":[50],"preprocessing":[53],"phase.":[54],"It":[55],"well":[57],"known":[58],"that":[59,95],"correlated":[60],"and":[61],"irrelevant":[62],"may":[64],"degrade":[65],"performance":[67],"algorithm.":[71,113],"In":[72],"our":[73],"study,":[74],"we":[75],"evaluated":[76],"influence":[78],"preselection":[81,108],"on":[82],"prediction":[84],"accuracy":[85,96],"using":[88],"real-world":[90],"data":[91],"set.":[92],"We":[93],"observed":[94],"classifier":[100],"could":[101],"improved":[103],"with":[104],"appropriate":[106],"Beyond":[114],"that,":[115],"number":[117],"used":[120],"can":[123],"reduced,":[125],"which":[126],"image":[130],"interpretation":[131],"tasks":[132],"since":[133],"calculation":[135],"time-consuming":[138],"process.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
