{"id":"https://openalex.org/W2557223339","doi":"https://doi.org/10.1109/ijcnn.2016.7727376","title":"Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data","display_name":"Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2557223339","doi":"https://doi.org/10.1109/ijcnn.2016.7727376","mag":"2557223339"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5065475525","display_name":"Mirko K\u00fcck","orcid":"https://orcid.org/0000-0002-4743-5736"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mirko Kuck","raw_affiliation_strings":["BIBA - Bremer Institut f\u00fcr Produktion und Logistik GmbH, University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"BIBA - Bremer Institut f\u00fcr Produktion und Logistik GmbH, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044304248","display_name":"Sven F. Crone","orcid":"https://orcid.org/0000-0003-4952-318X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sven F. Crone","raw_affiliation_strings":["Research Centre for Forecasting Lancaster, University Management School Lancaster, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Research Centre for Forecasting Lancaster, University Management School Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005165934","display_name":"Michael Freitag","orcid":"https://orcid.org/0000-0003-1767-9104"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Freitag","raw_affiliation_strings":["Faculty of Production Engineering, University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Production Engineering, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065475525"],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":1.4911,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.86006511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1499","last_page":"1506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9908000230789185,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9833999872207642,"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":0.7516022324562073},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6766924858093262},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6749656200408936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6620150208473206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544823050498962},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.628287136554718},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5751795768737793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5367366671562195},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5339760780334473},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5240450501441956},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.4815145432949066},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.42836907505989075},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2777998447418213},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.12992802262306213},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10511720180511475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516022324562073},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6766924858093262},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6749656200408936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6620150208473206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544823050498962},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.628287136554718},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5751795768737793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5367366671562195},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5339760780334473},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5240450501441956},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.4815145432949066},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.42836907505989075},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2777998447418213},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.12992802262306213},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10511720180511475},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:166203","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/166203/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contribution in Book/Report/Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W116375701","https://openalex.org/W148859753","https://openalex.org/W1495775210","https://openalex.org/W1517567737","https://openalex.org/W1533501505","https://openalex.org/W1549386224","https://openalex.org/W1831050183","https://openalex.org/W1963886895","https://openalex.org/W1975172114","https://openalex.org/W1981037543","https://openalex.org/W1989989024","https://openalex.org/W2004676714","https://openalex.org/W2022721685","https://openalex.org/W2038883576","https://openalex.org/W2042506099","https://openalex.org/W2048665112","https://openalex.org/W2055311466","https://openalex.org/W2077832579","https://openalex.org/W2079560958","https://openalex.org/W2079624556","https://openalex.org/W2081681829","https://openalex.org/W2083144552","https://openalex.org/W2089213632","https://openalex.org/W2090136295","https://openalex.org/W2091118421","https://openalex.org/W2097338558","https://openalex.org/W2100483895","https://openalex.org/W2141408223","https://openalex.org/W2145680191","https://openalex.org/W2153787847","https://openalex.org/W2171185425","https://openalex.org/W2245178135","https://openalex.org/W3123547113","https://openalex.org/W3124661333","https://openalex.org/W4241205389","https://openalex.org/W4299429830","https://openalex.org/W6631263138","https://openalex.org/W6632829569","https://openalex.org/W6673409049"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2911841387","https://openalex.org/W2803255289","https://openalex.org/W1512294453","https://openalex.org/W1993992974","https://openalex.org/W2550734047","https://openalex.org/W3134489511","https://openalex.org/W4206952807"],"abstract_inverted_index":{"Although":[0],"artificial":[1],"neural":[2,96,165],"networks":[3],"are":[4,21],"occasionally":[5],"used":[6],"in":[7,13,201],"forecasting":[8,82,115,172,207],"future":[9],"sales":[10],"for":[11,27,39,117,131,163,203],"manufacturing":[12],"industry,":[14],"the":[15,77,110,146,155],"majority":[16],"of":[17,49,73,79,114,127,148,158,196],"algorithms":[18],"applied":[19],"today":[20],"univariate":[22],"statistical":[23,36,135,171,179],"time":[24,41,65,106,119,128,182,205],"series":[25,42,51,66,107,129,183,206],"methods":[26,37,83,116],"level,":[28],"seasonal,":[29],"trend":[30],"or":[31,68,136],"trend-seasonal":[32],"patterns.":[33],"With":[34],"different":[35,40,125,160],"created":[38],"patterns,":[43],"large":[44],"scale":[45],"applications":[46],"on":[47,63,189],"10,000s":[48],"times":[50],"require":[52],"automatic":[53],"method":[54],"selection,":[55],"often":[56],"done":[57],"manually":[58],"by":[59],"human":[60],"experts":[61],"based":[62],"various":[64],"characteristics,":[67],"automatically":[69],"using":[70,159],"error":[71],"metrics":[72],"past":[74,149],"performance.":[75],"However,":[76],"task":[78],"selecting":[80,168,204],"adequate":[81],"can":[84,98],"also":[85],"be":[86,99],"viewed":[87],"as":[88,101,138,140,181],"a":[89,95,102,164],"supervised":[90],"learning":[91],"problem.":[92],"For":[93],"instance,":[94],"network":[97,166],"trained":[100],"meta-learner":[103,167],"relating":[104],"characteristic":[105],"features":[108,130,176],"to":[109],"ex":[111],"post":[112],"accuracy":[113,157],"each":[118],"series.":[120],"Past":[121],"research":[122],"has":[123],"proposed":[124],"sets":[126,162,200],"meta-learning":[132,202],"including":[133,197],"simple":[134],"information-theoretic":[137],"well":[139],"model-based":[141],"features,":[142],"but":[143],"have":[144],"neglected":[145],"use":[147],"forecast":[150],"errors.":[151],"This":[152],"paper":[153],"studies":[154],"predictive":[156],"feature":[161,199],"between":[169],"four":[170],"models,":[173],"introducing":[174],"error-based":[175,198],"(landmarkers)":[177],"and":[178],"tests":[180],"meta-features.":[184],"A":[185],"large-scale":[186],"empirical":[187],"study":[188],"NN3":[190],"industry":[191],"data":[192],"shows":[193],"promising":[194],"results":[195],"models.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
