{"id":"https://openalex.org/W2122467302","doi":"https://doi.org/10.1007/s10618-010-0173-y","title":"Ensembles of jittered association rule classifiers","display_name":"Ensembles of jittered association rule classifiers","publication_year":2010,"publication_date":"2010-04-02","ids":{"openalex":"https://openalex.org/W2122467302","doi":"https://doi.org/10.1007/s10618-010-0173-y","mag":"2122467302"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-010-0173-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10618-010-0173-y","pdf_url":null,"source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repositorio.inesctec.pt/handle/123456789/7018","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081147389","display_name":"Paulo J. Azevedo","orcid":"https://orcid.org/0000-0002-0877-3070"},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Paulo J. Azevedo","raw_affiliation_strings":["CCTC, Departamento de Inform\u00e1tica, Universidade do Minho, Braga, Portugal"],"affiliations":[{"raw_affiliation_string":"CCTC, Departamento de Inform\u00e1tica, Universidade do Minho, Braga, Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029214477","display_name":"Al\u00ed\u00adpio Jorge","orcid":"https://orcid.org/0000-0002-5475-1382"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Al\u00edpio M\u00e1rio Jorge","raw_affiliation_strings":["DCC - Faculdade de Ci\u00eancias, Universidade do Porto, Porto, Portugal","LIAAD-INESC Porto L.A., Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"DCC - Faculdade de Ci\u00eancias, Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]},{"raw_affiliation_string":"LIAAD-INESC Porto L.A., Porto, Portugal","institution_ids":["https://openalex.org/I121345201"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081147389"],"corresponding_institution_ids":["https://openalex.org/I99682543"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.571,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.942684,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"1","first_page":"91","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9879000186920166,"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/computer-science","display_name":"Computer science","score":0.7410683631896973},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6788548231124878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6147032380104065},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5698800086975098},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5570077300071716},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5229642987251282},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5039393305778503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5023989677429199},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43632814288139343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4277578294277191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3666858673095703}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410683631896973},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6788548231124878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147032380104065},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5698800086975098},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5570077300071716},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5229642987251282},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5039393305778503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5023989677429199},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43632814288139343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4277578294277191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3666858673095703},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s10618-010-0173-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10618-010-0173-y","pdf_url":null,"source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.331.2761","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.2761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cctc.di.uminho.pt/publications/publication.2009-04-06.5391514217/at_download/publication_file/","raw_type":"text"},{"id":"pmh:oai:repositorio.inesctec.pt:123456789/7018","is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/7018","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"},{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/33800","is_oa":true,"landing_page_url":"http://hdl.handle.net/1822/33800","pdf_url":null,"source":{"id":"https://openalex.org/S4306401240","display_name":"Reposit\u00f3riUM (Universidade do Minho)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99682543","host_organization_name":"University of Minho","host_organization_lineage":["https://openalex.org/I99682543"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"},{"id":"pmh:oai:repositorium.uminho.pt:1822/33800","is_oa":true,"landing_page_url":"https://hdl.handle.net/1822/33800","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:repositorio.inesctec.pt:123456789/7018","is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/7018","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W19763141","https://openalex.org/W23149702","https://openalex.org/W46113360","https://openalex.org/W51865077","https://openalex.org/W1480376833","https://openalex.org/W1484926632","https://openalex.org/W1506285740","https://openalex.org/W1513141696","https://openalex.org/W1516193414","https://openalex.org/W1518747216","https://openalex.org/W1528113134","https://openalex.org/W1533029210","https://openalex.org/W1536950352","https://openalex.org/W1553696291","https://openalex.org/W1554734378","https://openalex.org/W1565746575","https://openalex.org/W1567169722","https://openalex.org/W1570448133","https://openalex.org/W1580948147","https://openalex.org/W1585743408","https://openalex.org/W1604343573","https://openalex.org/W1670263352","https://openalex.org/W1986967485","https://openalex.org/W1988790447","https://openalex.org/W1995276998","https://openalex.org/W2030764200","https://openalex.org/W2037965136","https://openalex.org/W2040820996","https://openalex.org/W2048231652","https://openalex.org/W2083798294","https://openalex.org/W2093717447","https://openalex.org/W2097167306","https://openalex.org/W2098925412","https://openalex.org/W2108923196","https://openalex.org/W2112076978","https://openalex.org/W2125055259","https://openalex.org/W2126400629","https://openalex.org/W2142771821","https://openalex.org/W2152761983","https://openalex.org/W2154642793","https://openalex.org/W2167681385","https://openalex.org/W2170677240","https://openalex.org/W2303394219","https://openalex.org/W2805225397","https://openalex.org/W2911709584","https://openalex.org/W2912934387","https://openalex.org/W2966207845","https://openalex.org/W2982720039","https://openalex.org/W3009784374","https://openalex.org/W4248437541"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2052615004","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2046975922","https://openalex.org/W2031173026","https://openalex.org/W2031651184"],"abstract_inverted_index":{"The":[0,62],"ensembling":[1,67],"of":[2,58,65,142,179,185],"classifiers":[3,56,182],"tends":[4],"to":[5,19,42,113,118,137],"improve":[6],"predictive":[7,186],"accuracy.":[8],"To":[9],"obtain":[10,43],"an":[11,50],"ensemble":[12],"with":[13,116,176],"N":[14,21],"classifiers,":[15],"one":[16,35,84],"typically":[17],"needs":[18],"run":[20],"learning":[22,83,169],"processes.":[23],"In":[24],"this":[25],"paper":[26],"we":[27,68],"introduce":[28],"and":[29,75,91,107,133,188],"explore":[30],"Model":[31,157,174],"Jittering":[32,158,175],"Ensembling,":[33],"where":[34],"single":[36,89,120],"model":[37,121,168],"is":[38,146],"perturbed":[39],"in":[40,149,183],"order":[41],"variants":[44],"that":[45,109,129,156],"can":[46,160],"be":[47],"used":[48],"as":[49,54],"ensemble.":[51],"We":[52,154,171],"use":[53],"base":[55],"sets":[57,96,104],"classification":[59],"association":[60,122],"rules.":[61],"two":[63],"methods":[64,80],"jittering":[66],"propose":[69],"are":[70,105,135],"Iterative":[71],"Reordering":[72],"Ensembling":[73,159],"(IRE)":[74],"Post":[76],"Bagging":[77],"(PB).":[78],"Both":[79],"start":[81],"by":[82],"rule":[85,95,123],"set":[86],"over":[87],"a":[88,162],"run,":[90],"then":[92],"produce":[93],"multiple":[94,167],"without":[97],"relearning.":[98],"Empirical":[99],"results":[100],"on":[101],"36":[102],"data":[103],"positive":[106],"show":[108,155],"both":[110,131],"strategies":[111],"tend":[112],"reduce":[114,138],"error":[115],"respect":[117],"the":[119,139,143,151,180],"classifier.":[124],"A":[125],"bias\u2013variance":[126],"analysis":[127],"reveals":[128],"while":[130],"IRE":[132,145],"PB":[134],"able":[136],"variance":[140],"component":[141],"error,":[144],"particularly":[147],"effective":[148],"reducing":[150],"bias":[152],"component.":[153],"represent":[161],"very":[163],"good":[164],"speed-up":[165],"w.r.t.":[166],"ensembling.":[170],"also":[172],"compare":[173],"various":[177],"state":[178],"art":[181],"terms":[184],"accuracy":[187],"computational":[189],"efficiency.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}