{"id":"https://openalex.org/W4316814312","doi":"https://doi.org/10.1007/s10462-022-10323-0","title":"H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading","display_name":"H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4316814312","doi":"https://doi.org/10.1007/s10462-022-10323-0","pmid":"https://pubmed.ncbi.nlm.nih.gov/36686596"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-022-10323-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-022-10323-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-022-10323-0.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"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":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-022-10323-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055009890","display_name":"Vaishali Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vaishali Gupta","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women, New Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070455585","display_name":"Ela Kumar","orcid":"https://orcid.org/0009-0007-5215-7906"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ela Kumar","raw_affiliation_strings":["Indira Gandhi Delhi Technical University for Women, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indira Gandhi Delhi Technical University for Women, New Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055009890"],"corresponding_institution_ids":["https://openalex.org/I4210143260"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":3.5537,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92571966,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"56","issue":"8","first_page":"8697","last_page":"8720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9975000023841858,"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":0.9975000023841858,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9889000058174133,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9876999855041504,"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/gradient-boosting","display_name":"Gradient boosting","score":0.7412705421447754},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7000798583030701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.587955117225647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5732048749923706},{"id":"https://openalex.org/keywords/gross-domestic-product","display_name":"Gross domestic product","score":0.5231131911277771},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.45628318190574646},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.45199209451675415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43528324365615845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3998338580131531},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.23392432928085327},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10692030191421509},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.10194116830825806}],"concepts":[{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.7412705421447754},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7000798583030701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.587955117225647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5732048749923706},{"id":"https://openalex.org/C114350782","wikidata":"https://www.wikidata.org/wiki/Q12638","display_name":"Gross domestic product","level":2,"score":0.5231131911277771},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.45628318190574646},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.45199209451675415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43528324365615845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3998338580131531},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.23392432928085327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10692030191421509},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.10194116830825806},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10462-022-10323-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-022-10323-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-022-10323-0.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"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":"Artificial Intelligence Review","raw_type":"journal-article"},{"id":"pmid:36686596","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36686596","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial intelligence review","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9843672","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9843672","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9843672/pdf/10462_2022_Article_10323.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Artif Intell Rev","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10462-022-10323-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-022-10323-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-022-10323-0.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"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":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4316814312.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2516360875","https://openalex.org/W2772611570","https://openalex.org/W2882634967","https://openalex.org/W2896744186","https://openalex.org/W2906922093","https://openalex.org/W2950389803","https://openalex.org/W3020932304","https://openalex.org/W3088659404","https://openalex.org/W3092441154","https://openalex.org/W3134332122","https://openalex.org/W3136209963","https://openalex.org/W3160298255","https://openalex.org/W3162680489","https://openalex.org/W3167851348","https://openalex.org/W3189233596","https://openalex.org/W3197791425","https://openalex.org/W3202564494","https://openalex.org/W4206953633","https://openalex.org/W4210363026","https://openalex.org/W4211024243","https://openalex.org/W4225724460","https://openalex.org/W4226280081","https://openalex.org/W4244906393","https://openalex.org/W4285494523"],"related_works":["https://openalex.org/W2393964553","https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2023-01-17T00:00:00"}
