{"id":"https://openalex.org/W2079646556","doi":"https://doi.org/10.1109/iri.2012.6302999","title":"Multi-model integration for long-term time series prediction","display_name":"Multi-model integration for long-term time series prediction","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2079646556","doi":"https://doi.org/10.1109/iri.2012.6302999","mag":"2079646556"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2012.6302999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2012.6302999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)","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/A5074774954","display_name":"Zifang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zifang Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036221136","display_name":"Mei\u2010Ling Shyu","orcid":"https://orcid.org/0000-0003-0902-0844"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei-Ling Shyu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109247244","display_name":"James M. Tien","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James M. Tien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074774954"],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11515625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"116","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"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/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"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":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9944999814033508,"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/autoregressive-model","display_name":"Autoregressive model","score":0.7183364629745483},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7030172944068909},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6725297570228577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587768793106079},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6571229696273804},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6035966873168945},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.489372193813324},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.47778066992759705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46955496072769165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43759629130363464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41701921820640564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4150583744049072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2119840383529663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15673282742500305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08885928988456726}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7183364629745483},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7030172944068909},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6725297570228577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587768793106079},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6571229696273804},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6035966873168945},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.489372193813324},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.47778066992759705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46955496072769165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43759629130363464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41701921820640564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4150583744049072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2119840383529663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15673282742500305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08885928988456726},{"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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2012.6302999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2012.6302999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W107562219","https://openalex.org/W149922144","https://openalex.org/W777046221","https://openalex.org/W1496317909","https://openalex.org/W1992102111","https://openalex.org/W2019207321","https://openalex.org/W2030790799","https://openalex.org/W2036870214","https://openalex.org/W2046905283","https://openalex.org/W2050527683","https://openalex.org/W2067717190","https://openalex.org/W2073148984","https://openalex.org/W2081628559","https://openalex.org/W2094631910","https://openalex.org/W2111307099","https://openalex.org/W2117014758","https://openalex.org/W2134383774","https://openalex.org/W2143904013","https://openalex.org/W2145277132","https://openalex.org/W2165404743","https://openalex.org/W2167464405","https://openalex.org/W2172064003","https://openalex.org/W2185751161","https://openalex.org/W2904379903","https://openalex.org/W4285719527","https://openalex.org/W4301501800","https://openalex.org/W6604398132","https://openalex.org/W6622444566","https://openalex.org/W6681154454"],"related_works":["https://openalex.org/W2349019353","https://openalex.org/W2154965898","https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370","https://openalex.org/W4387331850","https://openalex.org/W2325790386","https://openalex.org/W2809775826","https://openalex.org/W2375884488"],"abstract_inverted_index":{"Long-term":[0],"(multi-step-ahead)":[1],"time":[2,16,88],"series":[3,17,89],"prediction":[4],"is":[5,20,84,94,118],"a":[6,40,62,73],"much":[7],"more":[8],"challenging":[9],"task":[10],"comparing":[11],"to":[12,22,44,60,101],"the":[13,23,27,32,57,67,70,98,103,107,124,129],"short-term":[14],"(one-step-ahead)":[15],"prediction.":[18,90],"This":[19],"due":[21],"increasing":[24],"uncertainty":[25],"and":[26,53,123],"lack":[28],"of":[29],"knowledge":[30],"about":[31],"future":[33],"trend.":[34],"In":[35,69],"this":[36],"paper,":[37],"we":[38],"propose":[39],"multi-model":[41,115],"integration":[42,116],"strategy":[43,117,131],"1)":[45],"generate":[46,61],"predicted":[47,58,64,104],"values":[48,59,105],"using":[49,120],"multiple":[50,108],"predictive":[51],"models;":[52],"then":[54,95],"2)":[55],"integrate":[56],"final":[63],"value":[65],"as":[66],"output.":[68],"first":[71],"step,":[72],"k-nearest-neighbor":[74],"(k-NN)":[75],"based":[76,110],"least":[77],"squares":[78],"support":[79],"vector":[80],"machine":[81],"(LS-SVM)":[82],"approach":[83],"used":[85],"for":[86],"long-term":[87],"An":[91],"autoregressive":[92],"model":[93],"employed":[96],"in":[97],"second":[99],"step":[100],"combine":[102],"from":[106],"k-NN":[109],"LS-SVM":[111],"models.":[112],"The":[113],"proposed":[114,130],"evaluated":[119],"six":[121],"datasets,":[122],"experimental":[125],"results":[126],"demonstrate":[127],"that":[128],"consistently":[132],"outperforms":[133],"some":[134],"existing":[135],"predictors.":[136]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}