{"id":"https://openalex.org/W2903814720","doi":"https://doi.org/10.1109/tsmc.2018.2882090","title":"Concept-Cognitive Learning Model for Incremental Concept Learning","display_name":"Concept-Cognitive Learning Model for Incremental Concept Learning","publication_year":2018,"publication_date":"2018-12-12","ids":{"openalex":"https://openalex.org/W2903814720","doi":"https://doi.org/10.1109/tsmc.2018.2882090","mag":"2903814720"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2018.2882090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2882090","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","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/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7974-1079","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043215329","display_name":"Yunlong Mi","orcid":"https://orcid.org/0000-0002-9013-1914"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Mi","raw_affiliation_strings":["Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9013-1914","affiliations":[{"raw_affiliation_string":"Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012023654","display_name":"Jinhai Li","orcid":"https://orcid.org/0000-0002-5206-9304"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Li","raw_affiliation_strings":["Data Science Research Center and the Faculty of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-5206-9304","affiliations":[{"raw_affiliation_string":"Data Science Research Center and the Faculty of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042460312","display_name":"Wenqi Liu","orcid":"https://orcid.org/0000-0002-9359-5589"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Liu","raw_affiliation_strings":["Data Science Research Center and the Faculty of Science, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-9359-5589","affiliations":[{"raw_affiliation_string":"Data Science Research Center and the Faculty of Science, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4145,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.93788092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"51","issue":"2","first_page":"809","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9865000247955322,"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":0.7117512822151184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6120807528495789},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5904353857040405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5887175798416138},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5828050374984741},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5738461017608643},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5456536412239075},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49061837792396545},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4639892578125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45583558082580566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15244212746620178},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09414508938789368},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06532731652259827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117512822151184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6120807528495789},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5904353857040405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5887175798416138},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5828050374984741},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5738461017608643},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5456536412239075},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49061837792396545},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4639892578125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45583558082580566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15244212746620178},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09414508938789368},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06532731652259827},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2018.2882090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2882090","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1112297031","display_name":null,"funder_award_id":"61573173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1353607540","display_name":null,"funder_award_id":"61305057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5264941446","display_name":null,"funder_award_id":"91546201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645463129","display_name":"\u5927\u6570\u636e\u73af\u5883\u4e0b\u7684\u7ba1\u7406\u51b3\u7b56\u521b\u65b0\u7814\u7a76","funder_award_id":"71331005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8913963343","display_name":null,"funder_award_id":"61562050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1503729935","https://openalex.org/W1505150927","https://openalex.org/W1570448133","https://openalex.org/W1585743408","https://openalex.org/W1851672339","https://openalex.org/W1871505182","https://openalex.org/W1964660346","https://openalex.org/W1986370941","https://openalex.org/W1992915331","https://openalex.org/W1997456116","https://openalex.org/W1999501864","https://openalex.org/W2004992275","https://openalex.org/W2016929372","https://openalex.org/W2021423479","https://openalex.org/W2025172647","https://openalex.org/W2026301027","https://openalex.org/W2027732084","https://openalex.org/W2040753112","https://openalex.org/W2051268343","https://openalex.org/W2053623704","https://openalex.org/W2053830473","https://openalex.org/W2054730876","https://openalex.org/W2056976301","https://openalex.org/W2057527355","https://openalex.org/W2060277733","https://openalex.org/W2067179717","https://openalex.org/W2073148816","https://openalex.org/W2073411490","https://openalex.org/W2082241885","https://openalex.org/W2084812512","https://openalex.org/W2085298912","https://openalex.org/W2086438841","https://openalex.org/W2094065702","https://openalex.org/W2096060214","https://openalex.org/W2120841525","https://openalex.org/W2135017202","https://openalex.org/W2138080682","https://openalex.org/W2148443116","https://openalex.org/W2153676086","https://openalex.org/W2156582682","https://openalex.org/W2164641162","https://openalex.org/W2167293341","https://openalex.org/W2170755382","https://openalex.org/W2184022888","https://openalex.org/W2194321275","https://openalex.org/W2200709606","https://openalex.org/W2216457099","https://openalex.org/W2228657524","https://openalex.org/W2261233885","https://openalex.org/W2311310082","https://openalex.org/W2312015575","https://openalex.org/W2330216853","https://openalex.org/W2338037132","https://openalex.org/W2345465422","https://openalex.org/W2369597189","https://openalex.org/W2413862220","https://openalex.org/W2474271583","https://openalex.org/W2484692733","https://openalex.org/W2510962651","https://openalex.org/W2537382886","https://openalex.org/W2624457417","https://openalex.org/W2738226240","https://openalex.org/W2750990785","https://openalex.org/W2758219826","https://openalex.org/W2766544915","https://openalex.org/W2769215693","https://openalex.org/W2783982841","https://openalex.org/W2787714175","https://openalex.org/W2790277807","https://openalex.org/W2904603676","https://openalex.org/W2984822303","https://openalex.org/W3112020351","https://openalex.org/W4234423219","https://openalex.org/W4255318870","https://openalex.org/W6635046684","https://openalex.org/W6683984541","https://openalex.org/W6687624033","https://openalex.org/W6743968150"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W4236696095","https://openalex.org/W3143779693","https://openalex.org/W2080152487","https://openalex.org/W1834658692"],"abstract_inverted_index":{"Concept-cognitive":[0],"learning":[1,11,151],"(CCL)":[2],"is":[3,116,137],"an":[4],"emerging":[5],"field":[6],"of":[7,19,33,97,113,135,206],"concerning":[8],"incremental":[9,54,126,173],"concept":[10,98],"and":[12,67,178,197,201],"dynamic":[13,20,154,198,213],"knowledge":[14,72,179,209],"processing":[15],"in":[16,28],"the":[17,30,38,50,52,69,83,110,129,133,194],"context":[18,144],"environments.":[21,214],"Although":[22],"CCL":[23,34,42,86,105,131],"has":[24],"been":[25],"widely":[26],"researched":[27],"theory,":[29],"existing":[31,53,130],"studies":[32],"have":[35,46,63],"one":[36],"problem:":[37],"concepts":[39,152],"obtained":[40],"by":[41],"systems":[43],"do":[44],"not":[45,117],"generalization":[47],"ability.":[48],"In":[49,150],"meantime,":[51],"algorithms":[55],"still":[56],"face":[57],"some":[58],"challenges":[59],"that:":[60],"1)":[61,192],"classifiers":[62],"to":[64,108],"adapt":[65],"gradually":[66],"2)":[68,202],"previously":[70,207],"acquired":[71,208],"should":[73],"be":[74],"efficiently":[75],"utilized.":[76],"To":[77],"address":[78],"these":[79],"problems,":[80],"based":[81,139],"on":[82,140,183],"advantage":[84],"that":[85,158,188],"can":[87,160,190],"naturally":[88,161],"integrate":[89],"new":[90,104,120,163],"data":[91,164,185],"into":[92,165],"itself":[93,166],"for":[94,172],"enhancing":[95],"flexibility":[96],"learning,":[99],"we":[100,156],"first":[101],"propose":[102],"a":[103,119,141,147,168],"model":[106],"(CCLM)":[107],"extend":[109],"classical":[111],"methods":[112],"CCL,":[114],"which":[115],"only":[118],"classifier":[121],"but":[122],"also":[123],"good":[124],"at":[125],"learning.":[127,174],"Unlike":[128],"systems,":[132],"theory":[134],"CCLM":[136,159,189],"mainly":[138],"formal":[142,148],"decision":[143],"rather":[145],"than":[146],"context.":[149],"from":[153],"environments,":[155],"show":[157],"incorporate":[162],"with":[167],"sufficient":[169],"theoretical":[170],"guarantee":[171],"For":[175],"classification":[176,199],"task":[177,200],"storage,":[180],"our":[181],"results":[182],"various":[184],"sets":[186],"demonstrate":[187],"simultaneously:":[191],"achieve":[193],"state-of-the-art":[195],"static":[196],"directly":[203],"accomplish":[204],"preservation":[205],"(or":[210],"concepts)":[211],"under":[212]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}