{"id":"https://openalex.org/W2107158758","doi":"https://doi.org/10.1142/s0218213003001228","title":"Is Error-Based Pruning Redeemable?","display_name":"Is Error-Based Pruning Redeemable?","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W2107158758","doi":"https://doi.org/10.1142/s0218213003001228","mag":"2107158758"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213003001228","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213003001228","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},"type":"article","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/A5000168449","display_name":"Lawrence Hall","orcid":"https://orcid.org/0000-0002-7898-8456"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence O. Hall","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019673624","display_name":"Kevin W. Bowyer","orcid":"https://orcid.org/0000-0002-7562-4390"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]},{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin W. Bowyer","raw_affiliation_strings":["Computer Science &amp; Engineering,  University of Notre Dame, 384 Fitzpatrick Hall, Notre Dame,  IN 46556, USA","Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA","Computer Science &amp; Engineering, University of Notre Dame, 384 Fitzpatrick Hall, Notre Dame, IN 46556, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science &amp; Engineering,  University of Notre Dame, 384 Fitzpatrick Hall, Notre Dame,  IN 46556, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Computer Science &amp; Engineering, University of Notre Dame, 384 Fitzpatrick Hall, Notre Dame, IN 46556, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047680745","display_name":"Robert E. Banfield","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert E. Banfield","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086603901","display_name":"Steven A. Eschrich","orcid":"https://orcid.org/0000-0002-9833-2788"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Eschrich","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100699495","display_name":"Richard Collins","orcid":"https://orcid.org/0000-0001-5449-8535"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Collins","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, University of South Florida, Tampa, Florida 33620-5399, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3922,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92094745,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":"03","first_page":"249","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9959999918937683,"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/T10260","display_name":"Software Engineering Research","score":0.9959999918937683,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9703999757766724,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9650999903678894,"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/pruning","display_name":"Pruning","score":0.8925899267196655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7812644839286804},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.7495390176773071},{"id":"https://openalex.org/keywords/certainty","display_name":"Certainty","score":0.5608035326004028},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5566779971122742},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4844972789287567},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4035170376300812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4008854031562805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3702738881111145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34742966294288635},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33282628655433655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2012365460395813}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8925899267196655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812644839286804},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7495390176773071},{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.5608035326004028},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5566779971122742},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4844972789287567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4035170376300812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4008854031562805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3702738881111145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34742966294288635},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33282628655433655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2012365460395813},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218213003001228","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213003001228","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.usf.edu:esb_facpub-1138","is_oa":false,"landing_page_url":"https://digitalcommons.usf.edu/esb_facpub/141","pdf_url":null,"source":{"id":"https://openalex.org/S4377196272","display_name":"Digital Commons - University of South Florida (University of South Florida)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2613432","host_organization_name":"University of South Florida","host_organization_lineage":["https://openalex.org/I2613432"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science and Engineering Faculty Publications","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W98929787","https://openalex.org/W1519768305","https://openalex.org/W1539246860","https://openalex.org/W1539741229","https://openalex.org/W1562345870","https://openalex.org/W1594031697","https://openalex.org/W1598696986","https://openalex.org/W1648786085","https://openalex.org/W2006345381","https://openalex.org/W2095749253","https://openalex.org/W2111022379","https://openalex.org/W2125055259","https://openalex.org/W2153187042","https://openalex.org/W2982720039","https://openalex.org/W4297957988"],"related_works":["https://openalex.org/W2418227039","https://openalex.org/W2387971622","https://openalex.org/W1566212037","https://openalex.org/W4285312748","https://openalex.org/W2157743338","https://openalex.org/W3203767529","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W3036095178","https://openalex.org/W4366979180"],"abstract_inverted_index":{"Error":[0],"based":[1,52,65,96,184],"pruning":[2,53,66,97,185],"can":[3,152,186],"be":[4,135,153,187],"used":[5,27,188],"to":[6,86,99,134,189],"prune":[7],"a":[8,34],"decision":[9,29],"tree":[10,30,91,147],"and":[11,57,173],"it":[12],"does":[13],"not":[14],"require":[15],"the":[16,25,36,41,44,87,90,117,127,144,165,180],"use":[17],"of":[18,43,146,159,163],"validation":[19],"data.":[20],"It":[21,32,109],"is":[22,84,104],"implemented":[23],"in":[24,68,75,107],"widely":[26],"C4.5":[28],"software.":[31],"uses":[33],"parameter,":[35],"certainty":[37,119,128,160,166],"factor,":[38],"that":[39,61,63,71,80,111,125,182],"affects":[40],"size":[42,92,148],"pruned":[45],"tree.":[46],"Several":[47],"researchers":[48],"have":[49,58],"compared":[50,198],"error":[51,64,95,183,201],"with":[54,116,137,149,155,194,199],"other":[55],"approaches,":[56],"shown":[59],"results":[60,67,113,178],"suggest":[62,79],"larger":[69],"trees":[70,133,193],"give":[72],"no":[73,105,140],"increase":[74,106],"accuracy.":[76,108],"They":[77],"further":[78],"as":[81],"more":[82],"data":[83,151,175],"added":[85,150],"training":[88],"set,":[89],"after":[93],"applying":[94],"continues":[98],"grow":[100],"even":[101],"though":[102],"there":[103],"appears":[110],"these":[112],"were":[114],"obtained":[115,136],"default":[118],"factor":[120,129,167],"value.":[121],"Here,":[122],"we":[123],"show":[124],"varying":[126],"allows":[130],"significantly":[131],"smaller":[132],"minimal":[138],"or":[139],"accuracy":[141,196],"loss.":[142],"Also,":[143],"growth":[145],"halted":[154],"an":[156],"appropriate":[157],"choice":[158],"factor.":[161],"Methods":[162],"determining":[164],"are":[168],"discussed":[169],"for":[170],"both":[171],"small":[172],"large":[174],"sets.":[176],"Experimental":[177],"support":[179],"conclusion":[181],"produce":[190],"appropriately":[191],"sized":[192],"good":[195],"when":[197],"reduced":[200],"pruning.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
