乐胖代购免代理版

{"id":"https://openalex.org/W4306661050","doi":"https://doi.org/10.32614/rj-2022-031","title":"wavScalogram: An R Package with Wavelet Scalogram Tools for Time Series Analysis","display_name":"wavScalogram: An R Package with Wavelet Scalogram Tools for Time Series Analysis","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4306661050","doi":"https://doi.org/10.32614/rj-2022-031"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2022-031","pdf_url":"https://journal.r-project.org/articles/RJ-2022-031/RJ-2022-031.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journal.r-project.org/articles/RJ-2022-031/RJ-2022-031.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018385343","display_name":"Vicente J. Bol\u00f3s","orcid":"https://orcid.org/0000-0002-9099-8200"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vicente J. Bol\u00f3s","raw_affiliation_strings":["Department of Bussiness Mathematics. University of Valencia"],"affiliations":[{"raw_affiliation_string":"Department of Bussiness Mathematics. University of Valencia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031281047","display_name":"R. Ben\u0131\u0301tez","orcid":"https://orcid.org/0000-0002-9443-0209"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafael Ben\u0131\u0301tez","raw_affiliation_strings":["Department of Bussiness Mathematics. University of Valencia"],"affiliations":[{"raw_affiliation_string":"Department of Bussiness Mathematics. University of Valencia","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.202,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.503472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":76},"biblio":{"volume":"14","issue":"2","first_page":"165","last_page":"186"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9728,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9728,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9688,"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":0.9263,"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/complement","display_name":"Complement","score":0.46156305}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.84380025},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5716281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55943483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53140575},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5023198},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47764054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47130713},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.46204942},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.46156305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3652318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33546948},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09341258},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08786222},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.087855786},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2022-031","pdf_url":"https://journal.r-project.org/articles/RJ-2022-031/RJ-2022-031.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.14274","pdf_url":"http://arxiv.org/pdf/2410.14274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2022-031","pdf_url":"https://journal.r-project.org/articles/RJ-2022-031/RJ-2022-031.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3036520466","https://openalex.org/W2902714807","https://openalex.org/W2784060934","https://openalex.org/W2537489131","https://openalex.org/W2382566571","https://openalex.org/W2382174632","https://openalex.org/W2366686860","https://openalex.org/W2349321798","https://openalex.org/W2129959498","https://openalex.org/W2077021924"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"present":[4],"the":[5,29,34,70,75,78,86],"wavScalogram":[6],"R":[7],"package,":[8],"which":[9],"contains":[10],"methods":[11,21],"based":[12],"on":[13],"wavelet":[14,27,72],"scalograms":[15,48],"for":[16],"time":[17,43,92],"series":[18,93],"analysis.":[19],"These":[20],"are":[22],"related":[23],"to":[24,64],"two":[25,42],"main":[26],"tools:":[28],"windowed":[30,38],"scalogram":[31,39],"difference":[32,40],"and":[33,55,57,94],"scale":[35,79],"index.":[36],"The":[37],"compares":[41],"series,":[44],"identifying":[45],"if":[46],"their":[47],"follow":[49],"similar":[50],"patterns":[51],"at":[52],"different":[53],"scales":[54],"times,":[56],"it":[58,95],"is":[59,96],"thus":[60],"a":[61,82,91],"useful":[62],"complement":[63],"other":[65,76],"comparison":[66],"tools":[67],"such":[68],"as":[69],"squared":[71],"coherence.":[73],"On":[74],"hand,":[77],"index":[80],"provides":[81],"numerical":[83],"estimation":[84],"of":[85,88,90],"degree":[87],"non-periodicity":[89],"widely":[97],"used":[98],"in":[99],"many":[100],"scientific":[101],"areas.":[102]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4306661050","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-01-16T04:11:44.629196","created_date":"2022-10-18"}