{"id":"https://openalex.org/W2065858755","doi":"https://doi.org/10.5430/air.v2n4p63","title":"Impact of the characteristics of data sets on incremental learning","display_name":"Impact of the characteristics of data sets on incremental learning","publication_year":2013,"publication_date":"2013-09-28","ids":{"openalex":"https://openalex.org/W2065858755","doi":"https://doi.org/10.5430/air.v2n4p63","mag":"2065858755"},"language":"en","primary_location":{"id":"doi:10.5430/air.v2n4p63","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v2n4p63","pdf_url":"https://www.sciedu.ca/journal/index.php/air/article/download/3000/2005","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.sciedu.ca/journal/index.php/air/article/download/3000/2005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028089630","display_name":"Patrick Marques Ciarelli","orcid":"https://orcid.org/0000-0003-3177-4028"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Patrick Marques Ciarelli","raw_affiliation_strings":["Universidade Federal do Esp\u00edrito Santo","Universidade Federal do Esp\u00edrito Santo,"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp\u00edrito Santo","institution_ids":["https://openalex.org/I51235708"]},{"raw_affiliation_string":"Universidade Federal do Esp\u00edrito Santo,","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045133568","display_name":"Elias Oliveira","orcid":"https://orcid.org/0000-0003-2066-7980"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Elias Oliveira","raw_affiliation_strings":["Universidade Federal do Esp\u00edrito Santo","Universidade Federal do Esp\u00edrito Santo,"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp\u00edrito Santo","institution_ids":["https://openalex.org/I51235708"]},{"raw_affiliation_string":"Universidade Federal do Esp\u00edrito Santo,","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014964230","display_name":"Evandro Ottoni Teatini Salles","orcid":"https://orcid.org/0000-0002-8287-3045"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Evandro O. T. Salles","raw_affiliation_strings":["Universidade Federal do Esp\u00edrito Santo","Universidade Federal do Esp\u00edrito Santo,"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp\u00edrito Santo","institution_ids":["https://openalex.org/I51235708"]},{"raw_affiliation_string":"Universidade Federal do Esp\u00edrito Santo,","institution_ids":["https://openalex.org/I51235708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028089630"],"corresponding_institution_ids":["https://openalex.org/I51235708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16753646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.991100013256073,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6975589990615845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186535358428955},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5905887484550476},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5711233615875244},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5111127495765686},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.49580225348472595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4939890503883362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4762061834335327},{"id":"https://openalex.org/keywords/plasticity","display_name":"Plasticity","score":0.4617709219455719},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46104782819747925},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4428193271160126},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44016560912132263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34938424825668335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33175498247146606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23353680968284607},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10314357280731201}],"concepts":[{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6975589990615845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186535358428955},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5905887484550476},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5711233615875244},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5111127495765686},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.49580225348472595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4939890503883362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4762061834335327},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.4617709219455719},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46104782819747925},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4428193271160126},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44016560912132263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34938424825668335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33175498247146606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23353680968284607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10314357280731201},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5430/air.v2n4p63","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v2n4p63","pdf_url":"https://www.sciedu.ca/journal/index.php/air/article/download/3000/2005","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5430/air.v2n4p63","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v2n4p63","pdf_url":"https://www.sciedu.ca/journal/index.php/air/article/download/3000/2005","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2065858755.pdf","grobid_xml":"https://content.openalex.org/works/W2065858755.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1529046154","https://openalex.org/W1575103269","https://openalex.org/W1964168965","https://openalex.org/W1985514943","https://openalex.org/W1988241771","https://openalex.org/W2023942192","https://openalex.org/W2025231662","https://openalex.org/W2048204435","https://openalex.org/W2084347670","https://openalex.org/W2092038191","https://openalex.org/W2103753221","https://openalex.org/W2125877832","https://openalex.org/W2144419338","https://openalex.org/W2147594147","https://openalex.org/W2148973081","https://openalex.org/W2166280719","https://openalex.org/W2171855248","https://openalex.org/W2187304743","https://openalex.org/W2304531936","https://openalex.org/W2791078011","https://openalex.org/W3189331705"],"related_works":["https://openalex.org/W2016937053","https://openalex.org/W2372312044","https://openalex.org/W2098828199","https://openalex.org/W4225160247","https://openalex.org/W4255944537","https://openalex.org/W2083867962","https://openalex.org/W4246061543","https://openalex.org/W3124734823","https://openalex.org/W328781604","https://openalex.org/W2023684664"],"abstract_inverted_index":{"Little":[0],"attention":[1],"has":[2],"been":[3],"paid":[4],"to":[5,30],"identifying":[6],"the":[7,18,36,41,52,58,76,80,83,90],"characteristics":[8,37],"of":[9,20,54,82,89],"a":[10,93],"data":[11,32],"set":[12],"that":[13,38,79],"provide":[14],"favorable":[15],"conditions":[16],"for":[17,51],"task":[19],"incremental":[21,63,72],"learning.":[22],"In":[23],"this":[24,97],"work,":[25],"several":[26],"metrics":[27,48],"were":[28,67],"used":[29],"characterize":[31],"sets":[33],"and":[34,45,57,75,86],"identify":[35],"may":[39],"influence":[40,95],"trade-off":[42,59],"between":[43,60],"stability":[44],"plasticity.":[46],"Three":[47],"are":[49],"proposed":[50],"evaluation":[53],"stability,":[55],"plasticity":[56],"them":[61],"in":[62],"techniques.":[64],"The":[65],"experiments":[66],"carried":[68],"out":[69],"using":[70],"four":[71],"neural":[73],"networks,":[74],"results":[77],"showed":[78],"shape":[81],"class":[84],"boundary":[85],"spatial":[87],"distribution":[88],"samples":[91],"have":[92],"great":[94],"on":[96],"trade-off.":[98]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}