{"id":"https://openalex.org/W2405731394","doi":"https://doi.org/10.3233/978-1-61499-320-9-189","title":"Automatic Trend Line Generation for Time-Series Analysis: A Graphical Approach","display_name":"Automatic Trend Line Generation for Time-Series Analysis: A Graphical Approach","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2405731394","doi":"https://doi.org/10.3233/978-1-61499-320-9-189","mag":"2405731394"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-320-9-189","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-320-9-189","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"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,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116359045","display_name":"Rivera Peruyero Juan Ricardo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rivera Peruyero Juan Ricardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091906595","display_name":"Pere Mart\u00ed-Puig","orcid":"https://orcid.org/0000-0001-6582-4551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marti-Puig Pere","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27233115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9943000078201294,"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/series","display_name":"Series (stratigraphy)","score":0.711387038230896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5703186988830566},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5525163412094116},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5362640619277954},{"id":"https://openalex.org/keywords/time-line","display_name":"Time line","score":0.5161086320877075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17925256490707397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10038390755653381},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07650741934776306},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.04476809501647949},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.04041105508804321}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.711387038230896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5703186988830566},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5525163412094116},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5362640619277954},{"id":"https://openalex.org/C2988327813","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Time line","level":2,"score":0.5161086320877075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17925256490707397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10038390755653381},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07650741934776306},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.04476809501647949},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.04041105508804321},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-320-9-189","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-320-9-189","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"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,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:dspace.uvic.cat:10854/2794","is_oa":false,"landing_page_url":"http://hdl.handle.net/10854/2794","pdf_url":null,"source":{"id":"https://openalex.org/S4306401787","display_name":"RIUVic (UVic-UCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115304662","host_organization_name":"Universitat de Vic - Universitat Central de Catalunya","host_organization_lineage":["https://openalex.org/I115304662"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Trend":[0],"lines":[1,30,51],"are":[2,15,23,41,54],"revealed":[3],"useful":[4],"to":[5,31],"explain":[6],"the":[7,67,77],"past":[8],"evolution":[9,69],"of":[10,12,27,39,48,59,70,80,92],"time-series":[11,81],"prices":[13],"that":[14],"represented":[16],"on":[17,76],"graphics.":[18],"However,":[19],"in":[20,55],"practice,":[21],"there":[22],"a":[24,36,90],"huge":[25],"amount":[26],"possible":[28],"trend":[29,50,93],"be":[32],"plotted":[33],"but":[34],"only":[35],"reduced":[37],"set":[38],"them":[40],"significant":[42],"or":[43],"relevant.":[44],"The":[45],"rapid":[46],"identification":[47],"relevant":[49],"when":[52],"they":[53],"their":[56,60],"initial":[57],"phase":[58],"development":[61],"could":[62],"provide":[63],"interesting":[64],"projections":[65],"for":[66],"future":[68],"time-series.":[71],"This":[72],"approach":[73],"is":[74],"focused":[75],"graphical":[78],"analysis":[79],"&amp;ndash;especially":[82],"those":[83],"coming":[84],"from":[85],"financial":[86],"asset":[87],"prices&amp;ndash;":[88],"under":[89],"framework":[91],"lines.":[94]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
