{"id":"https://openalex.org/W2940189180","doi":"https://doi.org/10.1109/fskd.2018.8687145","title":"A Long-association Relationship Based Forecasting Method for Time Series","display_name":"A Long-association Relationship Based Forecasting Method for Time Series","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2940189180","doi":"https://doi.org/10.1109/fskd.2018.8687145","mag":"2940189180"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2018.8687145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8687145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5101578386","display_name":"Fang Li","orcid":"https://orcid.org/0000-0002-1755-9594"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Li","raw_affiliation_strings":["School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, 100875, People&#x0027;s Republic of China","School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, 100875, People&#x0027;s Republic of China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, People's Republic of China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075869337","display_name":"Fusheng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fusheng Yu","raw_affiliation_strings":["School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, 100875, People&#x0027;s Republic of China","School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, 100875, People&#x0027;s Republic of China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, People's Republic of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101578386"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.4235,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70636215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994999766349792,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994999766349792,"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":0.9919999837875366,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9883999824523926,"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/association","display_name":"Association (psychology)","score":0.7828332185745239},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6331520080566406},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5749514102935791},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5739118456840515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5723299384117126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5196943879127502},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5130923986434937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47333842515945435},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4638405442237854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3928062319755554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36077314615249634},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10591211915016174}],"concepts":[{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.7828332185745239},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6331520080566406},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5749514102935791},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5739118456840515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723299384117126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5196943879127502},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5130923986434937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47333842515945435},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4638405442237854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3928062319755554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36077314615249634},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10591211915016174},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2018.8687145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8687145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1125761772","https://openalex.org/W1991662650","https://openalex.org/W2017954768","https://openalex.org/W2036950209","https://openalex.org/W2130519559","https://openalex.org/W2131453387","https://openalex.org/W2168577773","https://openalex.org/W2501502126","https://openalex.org/W2550257869","https://openalex.org/W2557071991","https://openalex.org/W2571819109","https://openalex.org/W2582365220","https://openalex.org/W2588469384","https://openalex.org/W2739484933","https://openalex.org/W2747035712","https://openalex.org/W2751966227","https://openalex.org/W4211007335","https://openalex.org/W6741510849"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2392697706","https://openalex.org/W2391054147","https://openalex.org/W366033468"],"abstract_inverted_index":{"Constructing":[0],"the":[1,22,28,44,58,63,74,88,91,130,134],"fuzzy":[2,8,23,31],"logical":[3,24],"relationship":[4,17,76,103,111],"is":[5,115,124],"critical":[6],"in":[7,21,27,66,120,137],"time":[9,68,118],"series":[10,119],"based":[11,112],"forecasting":[12,54,113],"methods.":[13],"In":[14],"literatures,":[15],"a":[16,67],"(a":[18],"short-association":[19,59,64],"relationship)":[20],"relationships,":[25],"represented":[26],"form":[29],"of":[30,90,101],"rules,":[32],"takes":[33],"one":[34],"or":[35],"more":[36],"successive":[37,46],"observations":[38],"as":[39,48],"its":[40,49],"left":[41,78],"hand,":[42],"while":[43],"next":[45,96],"observation":[47,94],"right":[50,81],"hand.":[51],"The":[52],"existing":[53,131],"methods":[55,132],"only":[56],"construct":[57],"relationship.":[60],"However,":[61],"besides":[62],"ones":[65],"series,":[69],"there":[70],"may":[71,104],"also":[72],"exist":[73],"long-association":[75,110],"whose":[77],"hand":[79,82],"and":[80],"maybe":[83],"not":[84],"successive,":[85],"which":[86,123],"reflects":[87],"influence":[89],"long-distance":[92],"historical":[93],"on":[95],"observation.":[97],"This":[98],"new":[99],"kind":[100],"association":[102],"be":[105],"helpful":[106],"for":[107,117],"forecasting.":[108],"A":[109],"method":[114],"proposed":[116],"this":[121,138],"paper,":[122],"illustrated":[125],"to":[126],"have":[127],"outperformance":[128],"than":[129],"by":[133],"experiments":[135],"employed":[136],"study.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
