{"id":"https://openalex.org/W4392372932","doi":"https://doi.org/10.1007/s00357-024-09467-1","title":"Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data","display_name":"Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4392372932","doi":"https://doi.org/10.1007/s00357-024-09467-1"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-024-09467-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-024-09467-1","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":"Journal of Classification","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/A5030658459","display_name":"Ji Hyun Nam","orcid":"https://orcid.org/0000-0002-3916-7460"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji Hyun Nam","raw_affiliation_strings":["Department of Statistics and Data Science, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042301019","display_name":"Jongmin Mun","orcid":"https://orcid.org/0000-0003-1096-2994"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jongmin Mun","raw_affiliation_strings":["Marshall School of Business, University of Southern California, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marshall School of Business, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035407171","display_name":"Seongil Jo","orcid":"https://orcid.org/0000-0002-1757-9122"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongil Jo","raw_affiliation_strings":["Department of Statistics and Data Science, Inha University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068657400","display_name":"Jaeoh Kim","orcid":"https://orcid.org/0000-0001-7831-6353"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaeoh Kim","raw_affiliation_strings":["Department of Statistics and Data Science, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7831-6353","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068657400"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.3039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59667078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"41","issue":"1","first_page":"170","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9416999816894531,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9416999816894531,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9262999892234802,"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"}},{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.916700005531311,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artillery","display_name":"Artillery","score":0.8700094223022461},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7295429110527039},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6447049379348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5489025712013245},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5467731356620789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5095663070678711},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5053175091743469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4979524612426758},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34848079085350037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3450949192047119},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15592721104621887},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.139724999666214}],"concepts":[{"id":"https://openalex.org/C74478641","wikidata":"https://www.wikidata.org/wiki/Q64418","display_name":"Artillery","level":2,"score":0.8700094223022461},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7295429110527039},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6447049379348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5489025712013245},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5467731356620789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5095663070678711},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5053175091743469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4979524612426758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34848079085350037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3450949192047119},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15592721104621887},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.139724999666214}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00357-024-09467-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-024-09467-1","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jclass:v:41:y:2024:i:1:d:10.1007_s00357-024-09467-1","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00357-024-09467-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G5332082906","display_name":null,"funder_award_id":"RS-2023-00209229","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6803475312","display_name":null,"funder_award_id":"NRF-2022R1A5A7033499","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7061849267","display_name":null,"funder_award_id":"RS-2023-00278691","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1496056137","https://openalex.org/W1506588750","https://openalex.org/W1546047689","https://openalex.org/W1551909886","https://openalex.org/W1563938718","https://openalex.org/W1591261915","https://openalex.org/W1941659294","https://openalex.org/W1964647807","https://openalex.org/W1988016803","https://openalex.org/W1991181258","https://openalex.org/W2002471330","https://openalex.org/W2006782375","https://openalex.org/W2012035409","https://openalex.org/W2021271429","https://openalex.org/W2049633694","https://openalex.org/W2053724458","https://openalex.org/W2098254218","https://openalex.org/W2103614420","https://openalex.org/W2104167780","https://openalex.org/W2105340608","https://openalex.org/W2112688141","https://openalex.org/W2115650093","https://openalex.org/W2118978333","https://openalex.org/W2120194796","https://openalex.org/W2130728435","https://openalex.org/W2132791018","https://openalex.org/W2137959503","https://openalex.org/W2140187489","https://openalex.org/W2142402086","https://openalex.org/W2148143831","https://openalex.org/W2163667253","https://openalex.org/W2164330572","https://openalex.org/W2168025622","https://openalex.org/W2334806815","https://openalex.org/W2338318698","https://openalex.org/W2461585331","https://openalex.org/W2479500547","https://openalex.org/W2545119860","https://openalex.org/W2562319768","https://openalex.org/W2588499421","https://openalex.org/W2590694859","https://openalex.org/W2807698901","https://openalex.org/W2971850506","https://openalex.org/W2978858971","https://openalex.org/W3000989483","https://openalex.org/W3109522940","https://openalex.org/W3132971810","https://openalex.org/W3149440924","https://openalex.org/W3155649056","https://openalex.org/W3158822809","https://openalex.org/W3169645058","https://openalex.org/W3199040194","https://openalex.org/W3199294801","https://openalex.org/W4221047666","https://openalex.org/W4221091231","https://openalex.org/W4238292205","https://openalex.org/W4239510810","https://openalex.org/W4254518604","https://openalex.org/W4283021596","https://openalex.org/W4295095814","https://openalex.org/W4312961430","https://openalex.org/W4380537610","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W4389395543","https://openalex.org/W2350773334","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W2357114597","https://openalex.org/W2115416187","https://openalex.org/W2551249631"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
