{"id":"https://openalex.org/W2978109172","doi":"https://doi.org/10.1109/ijcnn.2019.8851757","title":"FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification","display_name":"FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978109172","doi":"https://doi.org/10.1109/ijcnn.2019.8851757","mag":"2978109172"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5082372625","display_name":"Monidipa Das","orcid":"https://orcid.org/0000-0002-7615-4407"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Monidipa Das","raw_affiliation_strings":["School of CSE, NTU, Singapore"],"affiliations":[{"raw_affiliation_string":"School of CSE, NTU, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["School of CSE, NTU, Singapore"],"affiliations":[{"raw_affiliation_string":"School of CSE, NTU, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022785715","display_name":"Andri Ashfahani","orcid":"https://orcid.org/0000-0002-7126-4412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andri Ashfahani","raw_affiliation_strings":["School of CSE, NTU, Singapore"],"affiliations":[{"raw_affiliation_string":"School of CSE, NTU, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045997229","display_name":"Subhrajit Samanta","orcid":"https://orcid.org/0000-0001-9065-9308"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subhrajit Samanta","raw_affiliation_strings":["ERI@NTU NTU, Singapore"],"affiliations":[{"raw_affiliation_string":"ERI@NTU NTU, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082372625"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2602,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85366264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9879999756813049,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8397952318191528},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6822324991226196},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6137003302574158},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6073236465454102},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5845578908920288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.581225574016571},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5671255588531494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5277270078659058},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5211179852485657},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4369582533836365},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42969346046447754},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4257444441318512},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36299172043800354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10084021091461182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397952318191528},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6822324991226196},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6137003302574158},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6073236465454102},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5845578908920288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.581225574016571},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5671255588531494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5277270078659058},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5211179852485657},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4369582533836365},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42969346046447754},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4257444441318512},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36299172043800354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10084021091461182},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1990079212","https://openalex.org/W2012301399","https://openalex.org/W2045938006","https://openalex.org/W2062017159","https://openalex.org/W2088220893","https://openalex.org/W2103753221","https://openalex.org/W2125621954","https://openalex.org/W2135335717","https://openalex.org/W2160512933","https://openalex.org/W2161208102","https://openalex.org/W2182886880","https://openalex.org/W2295959395","https://openalex.org/W2404869677","https://openalex.org/W2593382986","https://openalex.org/W2602516395","https://openalex.org/W2604457090","https://openalex.org/W2615799874","https://openalex.org/W2743871419","https://openalex.org/W2767961350","https://openalex.org/W2889709260","https://openalex.org/W2964240787","https://openalex.org/W2978131474","https://openalex.org/W3003253354","https://openalex.org/W4248304497","https://openalex.org/W6680192438","https://openalex.org/W6713784575","https://openalex.org/W6754650929","https://openalex.org/W6756388909"],"related_works":["https://openalex.org/W4389449520","https://openalex.org/W127192698","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2743735673","https://openalex.org/W4361801939","https://openalex.org/W2360131081","https://openalex.org/W2985941356","https://openalex.org/W2802243998","https://openalex.org/W1521014365"],"abstract_inverted_index":{"With":[0],"the":[1,32,41,88,92,96,105,112,122,138,152,155,190],"recent":[2,24],"explosion":[3],"of":[4,34,43,61,154,176,182,199],"data":[5,27,45,187],"navigating":[6],"in":[7,40,104,142,180],"motion,":[8],"there":[9,21],"is":[10,47,161,178],"a":[11,49,58,116],"growing":[12],"research":[13],"interest":[14],"for":[15,82,167],"analyzing":[16],"streaming":[17,44,85,168],"data,":[18,86,169],"and":[19],"consequently,":[20],"are":[22],"several":[23],"works":[25],"on":[26,84,147],"stream":[28],"analytics.":[29],"However,":[30],"exploring":[31],"potentials":[33],"traditional":[35,143],"recurrent":[36],"neural":[37],"network":[38,113],"(RNN)":[39],"context":[42],"classification":[46,203],"still":[48],"little":[50],"investigated":[51],"area.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"novel":[59],"variant":[60],"RNN,":[62],"termed":[63],"as":[64,128],"FERNN,":[65],"which":[66,108],"features":[67],"single-pass":[68],"learning":[69,77,145,158],"capability":[70,78],"along":[71],"with":[72,205],"self-evolution":[73],"property.":[74],"The":[75,174],"online":[76],"makes":[79,91],"FERNN":[80,100,160,177,200],"fit":[81],"working":[83],"whereas":[87],"self-organizing":[89],"property":[90],"model":[93,123],"adaptive":[94],"to":[95,115,124],"rapidly":[97],"changing":[98],"environment.":[99],"utilizes":[101],"hyperplane":[102],"activation":[103],"hidden":[106],"layer,":[107],"not":[109],"only":[110],"reduces":[111],"parameters":[114],"significant":[117],"extent,":[118],"but":[119],"also":[120],"triggers":[121],"work":[125],"by":[126],"default":[127],"per":[129],"teacher":[130],"forcing":[131],"mechanism":[132],"so":[133],"that":[134],"it":[135,171],"automatically":[136],"handles":[137],"vanishing/exploding":[139],"gradient":[140],"issues":[141],"RNN":[144],"based":[146],"back-propagation-through-time":[148],"policy.":[149],"Moreover,":[150],"unlike":[151],"majority":[153],"existing":[156],"autonomous":[157],"models,":[159],"free":[162],"from":[163],"normal":[164],"distribution":[165],"assumption":[166],"making":[170],"more":[172],"flexible.":[173],"efficacy":[175],"evaluated":[179],"terms":[181],"classifying":[183],"six":[184],"publicly":[185],"available":[186],"streams,":[188],"under":[189],"prequential":[191],"test-then-train":[192],"protocol.":[193],"Experimental":[194],"results":[195],"show":[196],"encouraging":[197],"performance":[198],"attaining":[201],"state-of-the-art":[202],"accuracy":[204],"fairly":[206],"reduced":[207],"computation":[208],"cost.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}