{"id":"https://openalex.org/W2743642397","doi":"https://doi.org/10.1145/3106426.3109425","title":"A new approach for CNYX prediction based on SSA and random forest","display_name":"A new approach for CNYX prediction based on SSA and random forest","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2743642397","doi":"https://doi.org/10.1145/3106426.3109425","mag":"2743642397"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3109425","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109425","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","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/A5051119532","display_name":"Lin Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I177955009","display_name":"China University of Political Science and Law","ror":"https://ror.org/00e49gy82","country_code":"CN","type":"education","lineage":["https://openalex.org/I177955009"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Lai","raw_affiliation_strings":["China University of Political Science and Law"],"affiliations":[{"raw_affiliation_string":"China University of Political Science and Law","institution_ids":["https://openalex.org/I177955009"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051119532"],"corresponding_institution_ids":["https://openalex.org/I177955009"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0969163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"967","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9930999875068665,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8595772981643677},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.630111813545227},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6035809516906738},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5614036321640015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5567471981048584},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.5413065552711487},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4882621765136719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4173855781555176},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3759550154209137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37242138385772705},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3639868497848511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3426291048526764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30043500661849976}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8595772981643677},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.630111813545227},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6035809516906738},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5614036321640015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5567471981048584},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.5413065552711487},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4882621765136719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4173855781555176},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3759550154209137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37242138385772705},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3639868497848511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3426291048526764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30043500661849976},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3109425","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109425","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6399999856948853,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W148717042","https://openalex.org/W1572930125","https://openalex.org/W1975938969","https://openalex.org/W1975964493","https://openalex.org/W1988845048","https://openalex.org/W2005656334","https://openalex.org/W2005755239","https://openalex.org/W2012079387","https://openalex.org/W2166672289","https://openalex.org/W2269853658","https://openalex.org/W3121904436","https://openalex.org/W4237950026"],"related_works":["https://openalex.org/W2116422677","https://openalex.org/W2517007886","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Over":[0],"different":[1],"time":[2],"horizons,":[3],"the":[4,21,25,31,35,38,43,47,53,60,64,81,104],"RMB":[5],"Effective":[6],"Exchange":[7],"Rate":[8],"Index":[9],"(CNYX)":[10],"has":[11],"certain":[12],"features,":[13],"which":[14],"are":[15],"conducive":[16],"for":[17,103],"us":[18],"to":[19,87],"analyze":[20],"intrinsic":[22],"features":[23],"of":[24,30,46,106],"series":[26,62,79],"and":[27,37,52,70,73,85,93,101],"improve":[28],"accuracy":[29,105],"prediction.":[32],"Based":[33],"on":[34],"SSA":[36],"research":[39],"subject":[40],"selected":[41],"from":[42,49],"closing":[44],"price":[45],"CNYX":[48],"Jan.1,":[50],"2016":[51],"Apr.27,":[54],"2017,":[55],"this":[56],"paper":[57],"breaks":[58],"down":[59],"original":[61],"into":[63,80],"trend":[65],"term,":[66,72],"market":[67],"fluctuation":[68],"term":[69],"noise":[71],"then":[74],"we":[75,94],"introduce":[76],"these":[77],"characteristic":[78],"Random":[82,97],"Forest,":[83],"SVR":[84,100],"ANN":[86,102],"compare":[88],"their":[89],"predictive":[90,107],"effect":[91],"respectively":[92],"found":[95],"that":[96],"Forest":[98],"outperforms":[99],"value.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}