{"id":"https://openalex.org/W4408675211","doi":"https://doi.org/10.32604/cmc.2025.060739","title":"DCS-SOCP-SVM: A Novel Integrated Sampling and Classification Algorithm for Imbalanced Datasets","display_name":"DCS-SOCP-SVM: A Novel Integrated Sampling and Classification Algorithm for Imbalanced Datasets","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408675211","doi":"https://doi.org/10.32604/cmc.2025.060739"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.060739","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.060739","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-2/TSP_CMC_60739/TSP_CMC_60739.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-2/TSP_CMC_60739/TSP_CMC_60739.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025090861","display_name":"Xuewen Mu","orcid":"https://orcid.org/0000-0001-8491-1511"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuewen Mu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Bingcong Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bingcong Zhao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025090861"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2283,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87839418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"83","issue":"2","first_page":"2143","last_page":"2159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9943000078201294,"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":0.9943000078201294,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9745000004768372,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7690566778182983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297535061836243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5211429595947266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5180161595344543},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4438134729862213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4113468527793884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33591631054878235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33562493324279785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06218478083610535}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7690566778182983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297535061836243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5211429595947266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180161595344543},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4438134729862213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4113468527793884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33591631054878235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33562493324279785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06218478083610535},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.060739","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.060739","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-2/TSP_CMC_60739/TSP_CMC_60739.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.060739","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.060739","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-2/TSP_CMC_60739/TSP_CMC_60739.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408675211.pdf","grobid_xml":"https://content.openalex.org/works/W4408675211.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W1591261915","https://openalex.org/W1754612754","https://openalex.org/W1993220166","https://openalex.org/W2107686700","https://openalex.org/W2138906106","https://openalex.org/W2149298154","https://openalex.org/W2158698691","https://openalex.org/W2200953330","https://openalex.org/W2279597087","https://openalex.org/W2338318698","https://openalex.org/W2800788706","https://openalex.org/W2912934387","https://openalex.org/W3039142166","https://openalex.org/W3112362363","https://openalex.org/W3136633992","https://openalex.org/W3212743864","https://openalex.org/W4214927009","https://openalex.org/W4225809648","https://openalex.org/W4318677156","https://openalex.org/W4399448134","https://openalex.org/W4400111341"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"When":[0],"dealing":[1],"with":[2],"imbalanced":[3],"datasets,":[4],"the":[5,21,38],"traditional":[6],"support":[7],"vector":[8],"machine":[9],"(SVM)":[10],"tends":[11],"to":[12],"produce":[13],"a":[14],"classification":[15],"hyperplane":[16],"that":[17],"is":[18],"biased":[19],"towards":[20],"majority":[22],"class,":[23],"which":[24],"exhibits":[25],"poor":[26],"robustness.":[27],"This":[28],"paper":[29],"proposes":[30],"a...":[31],"|":[32],"Find,":[33],"read":[34],"and":[35],"cite":[36],"all":[37],"research":[39],"you":[40],"need":[41],"on":[42],"Tech":[43],"Science":[44],"Press":[45]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}