{"id":"https://openalex.org/W7129023468","doi":"https://doi.org/10.1007/s13042-025-02915-3","title":"Group penalized Poisson regressions forecast daily tourism demand","display_name":"Group penalized Poisson regressions forecast daily tourism demand","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129023468","doi":"https://doi.org/10.1007/s13042-025-02915-3"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-025-02915-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-025-02915-3","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","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/A5123009925","display_name":"Xuemei Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuemei Hu","raw_affiliation_strings":["School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400000, China","institution_ids":["https://openalex.org/I145581781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126124038","display_name":"Wenke Li","orcid":null},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenke Li","raw_affiliation_strings":["School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400000, China","institution_ids":["https://openalex.org/I145581781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5123009925"],"corresponding_institution_ids":["https://openalex.org/I145581781"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":34.067,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98901989,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"17","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.45410001277923584,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.45410001277923584,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.09030000120401382,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.06539999693632126,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/poisson-regression","display_name":"Poisson regression","score":0.8341000080108643},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.739300012588501},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5260000228881836},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.503000020980835},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48980000615119934},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.4392000138759613},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4090999960899353},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.3953000009059906}],"concepts":[{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.8341000080108643},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.739300012588501},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6011999845504761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5676000118255615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5662000179290771},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48980000615119934},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.4392000138759613},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2809000015258789},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2605000138282776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-025-02915-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-025-02915-3","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6930015087127686,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1965125844","https://openalex.org/W1970436524","https://openalex.org/W2015122449","https://openalex.org/W2025391890","https://openalex.org/W2028702910","https://openalex.org/W2028927061","https://openalex.org/W2033906179","https://openalex.org/W2049288534","https://openalex.org/W2074682976","https://openalex.org/W2123165578","https://openalex.org/W2135046866","https://openalex.org/W2148852684","https://openalex.org/W2324562510","https://openalex.org/W2526724998","https://openalex.org/W2774914982","https://openalex.org/W2788908805","https://openalex.org/W2807887605","https://openalex.org/W2905533481","https://openalex.org/W2921553645","https://openalex.org/W2922309978","https://openalex.org/W2939094371","https://openalex.org/W2943173099","https://openalex.org/W3017855717","https://openalex.org/W3031438208","https://openalex.org/W3163782073","https://openalex.org/W3170873496","https://openalex.org/W3183515060","https://openalex.org/W3195944253","https://openalex.org/W3196345400","https://openalex.org/W3211905549","https://openalex.org/W4234698323","https://openalex.org/W4282982502","https://openalex.org/W4290861259","https://openalex.org/W4382699706","https://openalex.org/W4384341400","https://openalex.org/W4392775838"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2026-02-17T00:00:00"}