{"id":"https://openalex.org/W7127184780","doi":"https://doi.org/10.1145/3787256.3787266","title":"Enhancing Oversampling Techniques for Financial Data Imbalance: A Machine Learning Approach to Strengthen Asset Management","display_name":"Enhancing Oversampling Techniques for Financial Data Imbalance: A Machine Learning Approach to Strengthen Asset Management","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7127184780","doi":"https://doi.org/10.1145/3787256.3787266"},"language":null,"primary_location":{"id":"doi:10.1145/3787256.3787266","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787256.3787266","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3787256.3787266","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089050883","display_name":"Hyonggoo Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyonggoo Yoo","raw_affiliation_strings":["Department of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-9365-9259","affiliations":[{"raw_affiliation_string":"Department of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102758719","display_name":"Changgu Lee","orcid":"https://orcid.org/0000-0002-8915-7746"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changgu Lee","raw_affiliation_strings":["Department of Advanced Institute of Nano Technology, Sungkyunkwan University, Suwon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8915-7746","affiliations":[{"raw_affiliation_string":"Department of Advanced Institute of Nano Technology, Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035392711","display_name":"Jaekwang KIM","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaekwang Kim","raw_affiliation_strings":["Convergence Program for Social Innovation, Sungkyunkwan University, Seoul, Republic of Korea and Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5174-0074","affiliations":[{"raw_affiliation_string":"Convergence Program for Social Innovation, Sungkyunkwan University, Seoul, Republic of Korea and Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089050883"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82921275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.5924000144004822,"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":0.5924000144004822,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.3407000005245209,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.010400000028312206,"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/oversampling","display_name":"Oversampling","score":0.9304999709129333},{"id":"https://openalex.org/keywords/security-domain","display_name":"Security domain","score":0.5809999704360962},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5135999917984009},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5123999714851379},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5052000284194946},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.43880000710487366},{"id":"https://openalex.org/keywords/asset-management","display_name":"Asset management","score":0.4180000126361847}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9304999709129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6582000255584717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247000098228455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974000096321106},{"id":"https://openalex.org/C2780264999","wikidata":"https://www.wikidata.org/wiki/Q7445032","display_name":"Security domain","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5135999917984009},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C2776517139","wikidata":"https://www.wikidata.org/wiki/Q873442","display_name":"Asset management","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C2778705799","wikidata":"https://www.wikidata.org/wiki/Q2823610","display_name":"Financial asset","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3787256.3787266","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787256.3787266","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3787256.3787266","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787256.3787266","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4553804099559784,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1911004090","display_name":null,"funder_award_id":"RS-2024-00459638","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G1977249509","display_name":null,"funder_award_id":"RS-2023-00259497","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G314908243","display_name":null,"funder_award_id":"RS-2024-00346737","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"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1598260899","https://openalex.org/W1864775079","https://openalex.org/W1991181258","https://openalex.org/W1993220166","https://openalex.org/W2104933073","https://openalex.org/W2148143831","https://openalex.org/W2177066871","https://openalex.org/W2296719434","https://openalex.org/W2772832743","https://openalex.org/W2899638272","https://openalex.org/W2908163441","https://openalex.org/W2945346640","https://openalex.org/W3036367679","https://openalex.org/W3128385712","https://openalex.org/W3160991452","https://openalex.org/W4200574280","https://openalex.org/W4224935509","https://openalex.org/W4254825089","https://openalex.org/W4286285984","https://openalex.org/W4387886031","https://openalex.org/W4391768987","https://openalex.org/W4396542956","https://openalex.org/W4400232915","https://openalex.org/W4402352530","https://openalex.org/W4402356832"],"related_works":[],"abstract_inverted_index":{"A":[0],"major":[1],"challenge":[2],"in":[3],"the":[4,8,64],"financial":[5,86],"domain":[6],"is":[7],"class":[9],"imbalance":[10],"problem,":[11],"which":[12,39],"can":[13],"negatively":[14],"impact":[15],"model":[16],"performance.":[17],"Although":[18],"oversampling":[19,51],"methods":[20],"such":[21],"as":[22],"SMOTE":[23],"and":[24,62,77],"ADASYN":[25,65],"are":[26,34],"commonly":[27],"used":[28],"to":[29,37],"address":[30],"this":[31,45],"issue,":[32],"they":[33],"often":[35],"sensitive":[36],"outliers,":[38],"limits":[40],"their":[41],"effectiveness.":[42],"To":[43],"overcome":[44],"limitation,":[46],"we":[47],"propose":[48],"an":[49],"improved":[50],"approach":[52],"that":[53,70],"integrates":[54],"advanced":[55],"outlier":[56],"detection":[57],"methods\u2014including":[58],"Isolation":[59],"Forest":[60],"variants":[61],"autoencoders\u2014into":[63],"framework.":[66],"Experimental":[67],"results":[68],"show":[69],"our":[71],"method":[72],"achieves":[73],"higher":[74],"prediction":[75],"accuracy":[76],"more":[78],"stable":[79],"performance,":[80],"making":[81],"it":[82],"well-suited":[83],"for":[84],"real-world":[85],"applications":[87],"involving":[88],"imbalanced":[89],"datasets.":[90]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-02-03T00:00:00"}