{"id":"https://openalex.org/W2897410780","doi":"https://doi.org/10.1109/ijcnn.2018.8489275","title":"Adaptive Learning Models Evaluation in Twitter\u2019s Timelines","display_name":"Adaptive Learning Models Evaluation in Twitter\u2019s Timelines","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897410780","doi":"https://doi.org/10.1109/ijcnn.2018.8489275","mag":"2897410780"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5048724313","display_name":"Joana C\u00f3sta","orcid":"https://orcid.org/0000-0002-4053-5718"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Joana Costa","raw_affiliation_strings":["School of Technology and Management, Polytechnic Institute of Leiria, Portugal"],"affiliations":[{"raw_affiliation_string":"School of Technology and Management, Polytechnic Institute of Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371897","display_name":"Catarina Silva","orcid":"https://orcid.org/0000-0002-5656-0061"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Catarina Silva","raw_affiliation_strings":["School of Technology and Management, Polytechnic Institute of Leiria, Portugal"],"affiliations":[{"raw_affiliation_string":"School of Technology and Management, Polytechnic Institute of Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085602004","display_name":"M\u00e1rio Antunes","orcid":"https://orcid.org/0000-0003-3448-6726"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Mario Antunes","raw_affiliation_strings":["School of Technology and Management, Polytechnic Institute of Leiria, Portugal"],"affiliations":[{"raw_affiliation_string":"School of Technology and Management, Polytechnic Institute of Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046882659","display_name":"Bernardete Ribeiro","orcid":"https://orcid.org/0000-0002-9770-7672"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Bernardete Ribeiro","raw_affiliation_strings":["Center for Informatics and Systems, University of Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Center for Informatics and Systems, University of Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048724313"],"corresponding_institution_ids":["https://openalex.org/I169427155"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77183325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":0.9850999712944031,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7671396732330322},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.6642574667930603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6042837500572205},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5976195335388184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557867884635925},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.5542826652526855},{"id":"https://openalex.org/keywords/mcnemars-test","display_name":"McNemar's test","score":0.5226535797119141},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4810255169868469},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4406385123729706},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.4200405478477478},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37693777680397034},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.30006593465805054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671396732330322},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.6642574667930603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6042837500572205},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5976195335388184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557867884635925},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.5542826652526855},{"id":"https://openalex.org/C186282968","wikidata":"https://www.wikidata.org/wiki/Q1434261","display_name":"McNemar's test","level":2,"score":0.5226535797119141},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4810255169868469},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4406385123729706},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.4200405478477478},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37693777680397034},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.30006593465805054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W25894254","https://openalex.org/W139044672","https://openalex.org/W1505456515","https://openalex.org/W1540550673","https://openalex.org/W1604792744","https://openalex.org/W1640081031","https://openalex.org/W1987381877","https://openalex.org/W2022775778","https://openalex.org/W2061733587","https://openalex.org/W2084413241","https://openalex.org/W2086148793","https://openalex.org/W2103753221","https://openalex.org/W2104894372","https://openalex.org/W2106141635","https://openalex.org/W2106321773","https://openalex.org/W2114544578","https://openalex.org/W2166706755","https://openalex.org/W2167277498","https://openalex.org/W2241715985","https://openalex.org/W2244486986","https://openalex.org/W2266972336","https://openalex.org/W2509372577","https://openalex.org/W2516296618","https://openalex.org/W2548865325","https://openalex.org/W2612145924","https://openalex.org/W2753905265","https://openalex.org/W2799873608","https://openalex.org/W3139670689","https://openalex.org/W3145506661","https://openalex.org/W3147945513","https://openalex.org/W4206070770","https://openalex.org/W4255466416","https://openalex.org/W6605683200","https://openalex.org/W6728954177"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W3201554469","https://openalex.org/W3112950814","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W2060628068","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W3208495060"],"abstract_inverted_index":{"Current":[0],"challenges":[1],"in":[2,20,24,90,139],"machine":[3],"learning":[4,38,42,89,148],"include":[5],"dealing":[6],"with":[7,16],"temporal":[8],"data":[9],"streams,":[10],"drift":[11],"and":[12,40,99,132],"non-stationary":[13],"scenarios,":[14],"often":[15],"text":[17],"data,":[18],"whether":[19],"social":[21],"networks":[22],"or":[23],"business":[25],"systems.":[26],"This":[27],"dynamic":[28,41,91,140],"nature":[29],"tends":[30],"to":[31,76,81],"limit":[32],"the":[33,50,64,78,118,130,147],"performance":[34,51],"of":[35,52,66,134],"traditional":[36],"static":[37],"models":[39],"strategies":[43,54],"must":[44],"be":[45],"put":[46],"forward.":[47],"However,":[48],"acquiring":[49],"those":[53],"is":[55,108,144],"not":[56],"a":[57,111],"straightforward":[58],"issue,":[59],"as":[60],"sample's":[61],"dependency":[62],"undermines":[63],"use":[65,77],"validation":[67,107],"techniques,":[68],"like":[69],"crossvalidation.":[70],"In":[71],"this":[72],"paper":[73],"we":[74],"propose":[75],"McNemar's":[79,136],"test":[80,138],"compare":[82],"two":[83],"distinct":[84],"approaches":[85],"that":[86],"tackle":[87],"adaptive":[88],"environments,":[92],"namely":[93],"DARK":[94],"(Drift":[95,120],"Adaptive":[96],"Retain":[97],"Knowledge)":[98],"Learn++.":[100],"NSE":[101],"(Learn++":[102],"for":[103,146],"Non-Stationary":[104],"Environments).":[105],"The":[106,126],"based":[109],"on":[110],"Twitter":[112],"case":[113],"study":[114],"benchmark":[115],"constructed":[116],"using":[117,135],"DOTS":[119],"Oriented":[121],"Tool":[122],"System)":[123],"dataset":[124],"generator.":[125],"results":[127],"obtained":[128],"demonstrate":[129],"usefulness":[131],"adequacy":[133],"statistical":[137],"environments":[141],"where":[142],"time":[143],"crucial":[145],"algorithm.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
