{"id":"https://openalex.org/W4412782001","doi":"https://doi.org/10.1007/s41060-025-00868-y","title":"Development of an agricultural product price forecasting model via gradient boosting regression trees with a time series sampling approach","display_name":"Development of an agricultural product price forecasting model via gradient boosting regression trees with a time series sampling approach","publication_year":2025,"publication_date":"2025-07-31","ids":{"openalex":"https://openalex.org/W4412782001","doi":"https://doi.org/10.1007/s41060-025-00868-y"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-025-00868-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-025-00868-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-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/A5021474615","display_name":"Kazuki Fujiwara","orcid":"https://orcid.org/0000-0002-4508-2869"},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuki Fujiwara","raw_affiliation_strings":["School of Business Administration, Hitotsubashi University, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8439, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, Hitotsubashi University, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8439, Japan","institution_ids":["https://openalex.org/I111428342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021474615"],"corresponding_institution_ids":["https://openalex.org/I111428342"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":4.5699,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94628218,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":"8","first_page":"6985","last_page":"6995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.8946999907493591,"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":0.8946999907493591,"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":0.8391000032424927,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.7930999994277954,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.8395745158195496},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6109259724617004},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5773026943206787},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5581950545310974},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4897027313709259},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.48635798692703247},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45648571848869324},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43851256370544434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4280421733856201},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4191087484359741},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39457109570503235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3272199034690857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32334694266319275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3108537197113037},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.26570814847946167},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1650552749633789}],"concepts":[{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.8395745158195496},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6109259724617004},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5773026943206787},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5581950545310974},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4897027313709259},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.48635798692703247},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45648571848869324},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43851256370544434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4280421733856201},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4191087484359741},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39457109570503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3272199034690857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32334694266319275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3108537197113037},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.26570814847946167},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1650552749633789},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-025-00868-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-025-00868-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2052284731","https://openalex.org/W2141913529","https://openalex.org/W2282119095","https://openalex.org/W2295598076","https://openalex.org/W2774610454","https://openalex.org/W2940525834","https://openalex.org/W2946223265","https://openalex.org/W2951391178","https://openalex.org/W2957191877","https://openalex.org/W2973915582","https://openalex.org/W3011590044","https://openalex.org/W3105114834","https://openalex.org/W3123777129","https://openalex.org/W3124705302","https://openalex.org/W3171884590","https://openalex.org/W4224298376","https://openalex.org/W4250324932","https://openalex.org/W4311129667","https://openalex.org/W4319439359","https://openalex.org/W4382239356","https://openalex.org/W4388041518","https://openalex.org/W4391020765","https://openalex.org/W4391069988","https://openalex.org/W6600094777"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326","https://openalex.org/W1968832299"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
