{"id":"https://openalex.org/W2016753974","doi":"https://doi.org/10.1109/ijcnn.2012.6252542","title":"Fuzzy associative learning of feature dependency for time series forecasting","display_name":"Fuzzy associative learning of feature dependency for time series forecasting","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2016753974","doi":"https://doi.org/10.1109/ijcnn.2012.6252542","mag":"2016753974"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 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/A5018208772","display_name":"Eng Yeow Cheu","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Eng Yeow Cheu","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","Institute for Infocomm Research, A\u00bfSTAR (Agency for Science, Technology and Research), Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u00bfSTAR (Agency for Science, Technology and Research), Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000077454","display_name":"Kelvin Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kelvin Sim","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","Institute for Infocomm Research, A\u00bfSTAR (Agency for Science, Technology and Research), Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u00bfSTAR (Agency for Science, Technology and Research), Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110918847","display_name":"See Kiong Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"See Kiong Ng","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","Institute for Infocomm Research, A\u00bfSTAR (Agency for Science, Technology and Research), Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u00bfSTAR (Agency for Science, Technology and Research), Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063229067","display_name":"Chai Quek","orcid":"https://orcid.org/0000-0002-7313-4339"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Quek","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University, Singapore, 639798"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore, 639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018208772"],"corresponding_institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08598503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9991000294685364,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9980999827384949,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9915000200271606,"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":0.7887330651283264},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7121168375015259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5875287652015686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5693827271461487},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5505693554878235},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5316413640975952},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5312411785125732},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.517261803150177},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5134338140487671},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43586495518684387},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.4182766079902649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887330651283264},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7121168375015259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875287652015686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5693827271461487},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5505693554878235},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5316413640975952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5312411785125732},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.517261803150177},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5134338140487671},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43586495518684387},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.4182766079902649},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/97871","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/97871","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W115987419","https://openalex.org/W187030388","https://openalex.org/W583196625","https://openalex.org/W623776627","https://openalex.org/W1524247963","https://openalex.org/W1555711139","https://openalex.org/W1576064560","https://openalex.org/W1970104171","https://openalex.org/W1971084714","https://openalex.org/W1991082464","https://openalex.org/W1995341919","https://openalex.org/W2004873643","https://openalex.org/W2016415759","https://openalex.org/W2040419414","https://openalex.org/W2051412169","https://openalex.org/W2062100414","https://openalex.org/W2085629944","https://openalex.org/W2089413654","https://openalex.org/W2108249372","https://openalex.org/W2108404288","https://openalex.org/W2108437236","https://openalex.org/W2110289069","https://openalex.org/W2116119284","https://openalex.org/W2119387367","https://openalex.org/W2126272889","https://openalex.org/W2129013743","https://openalex.org/W2133085637","https://openalex.org/W2134262590","https://openalex.org/W2144276202","https://openalex.org/W2150199067","https://openalex.org/W2151863350","https://openalex.org/W2169811483","https://openalex.org/W2171033594","https://openalex.org/W2304531936","https://openalex.org/W2599698349","https://openalex.org/W4244494905","https://openalex.org/W6607616357","https://openalex.org/W6619670112","https://openalex.org/W6682324598"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W2067317451","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W2170062176","https://openalex.org/W1995239016","https://openalex.org/W96694040"],"abstract_inverted_index":{"Neuro-fuzzy":[0],"system":[1,56,90,121,133],"(NFS)":[2],"has":[3],"successfully":[4],"been":[5],"widely":[6],"applied":[7],"in":[8,44,103],"solving":[9],"problems":[10,27],"across":[11],"diverse":[12],"fields,":[13],"such":[14],"as":[15],"signal":[16],"detection,":[17,19],"fault":[18],"and":[20,31,73,80,107,125,139,152],"forecasting.":[21],"In":[22],"recent":[23],"years,":[24],"many":[25],"forecasting":[26,165],"require":[28],"the":[29,66,70,96,99,110,114,120,131,145,148],"processing":[30],"learning":[32,55,150],"of":[33,36,48,69,95,101,113,130,147,170],"large":[34,124],"number":[35],"dynamic":[37,126],"data":[38,71,86,102],"streams.":[39,87],"Existing":[40],"systems":[41],"are":[42],"inadequate":[43],"handling":[45],"this":[46],"type":[47],"complex":[49],"problem.":[50],"This":[51],"paper":[52],"presents":[53],"a":[54,104,167],"that":[57],"incorporates":[58],"an":[59,74],"evolving":[60,75],"correlation-based":[61],"feature":[62],"selector":[63],"to":[64,77,122],"handle":[65,123],"high":[67],"dimensionality":[68],"streams,":[72],"NFS":[76],"sequentially":[78],"model":[79],"extract":[81],"fuzzy":[82],"knowledge":[83,94],"about":[84],"these":[85],"The":[88,128,142],"proposed":[89,132,149],"requires":[91],"no":[92],"prior":[93],"data,":[97],"reads":[98],"stream":[100],"single":[105],"pass,":[106],"accounts":[108],"for":[109],"time-varying":[111],"characteristics":[112],"data.":[115,127],"These":[116],"three":[117],"features":[118],"allow":[119],"effectiveness":[129],"is":[134],"validated":[135],"on":[136,161],"both":[137],"synthetic":[138],"real-world":[140,162],"problems.":[141],"experiments":[143],"illustrate":[144],"viability":[146],"technique,":[151],"exemplifies":[153],"how":[154],"it":[155],"can":[156],"outperform":[157],"existing":[158],"NFS.":[159],"Experiment":[160],"stock":[163],"price":[164],"shows":[166],"remarkable":[168],"reduction":[169],"error":[171],"rate":[172],"by":[173],"15.4%.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}