{"id":"https://openalex.org/W4405027859","doi":"https://doi.org/10.1007/s11227-024-06655-z","title":"Synthetic minority oversampling technique based on natural neighborhood graph with subgraph cores for class-imbalanced classification","display_name":"Synthetic minority oversampling technique based on natural neighborhood graph with subgraph cores for class-imbalanced classification","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405027859","doi":"https://doi.org/10.1007/s11227-024-06655-z"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-024-06655-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-024-06655-z","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","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/A5018115197","display_name":"Ming Zhao","orcid":"https://orcid.org/0000-0002-1647-1769"},"institutions":[{"id":"https://openalex.org/I4210101171","display_name":"Zhejiang Industry Polytechnic College","ror":"https://ror.org/0192j7z55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101171"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Zhao","raw_affiliation_strings":["Mechanical engineering institute, Chongqing Industry Polytechnic College, Yubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical engineering institute, Chongqing Industry Polytechnic College, Yubei, China","institution_ids":["https://openalex.org/I4210101171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018115197"],"corresponding_institution_ids":["https://openalex.org/I4210101171"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.972,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80289979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"81","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9890999794006348,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9801999926567078,"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/oversampling","display_name":"Oversampling","score":0.9134024977684021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8543903827667236},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6033064126968384},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5671089291572571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4862765073776245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43429845571517944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.335090696811676},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30065616965293884}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9134024977684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543903827667236},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6033064126968384},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5671089291572571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4862765073776245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43429845571517944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.335090696811676},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30065616965293884},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-024-06655-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-024-06655-z","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W8248617","https://openalex.org/W1996523702","https://openalex.org/W2071785112","https://openalex.org/W2087240369","https://openalex.org/W2107138773","https://openalex.org/W2125927049","https://openalex.org/W2148143831","https://openalex.org/W2165558283","https://openalex.org/W2395028581","https://openalex.org/W2601726217","https://openalex.org/W2766296277","https://openalex.org/W2916025621","https://openalex.org/W2917123910","https://openalex.org/W2921630855","https://openalex.org/W2947779129","https://openalex.org/W2965727894","https://openalex.org/W2981905647","https://openalex.org/W2993510908","https://openalex.org/W3002638499","https://openalex.org/W3004127288","https://openalex.org/W3014689390","https://openalex.org/W3022206528","https://openalex.org/W3025519219","https://openalex.org/W3036090607","https://openalex.org/W3041664846","https://openalex.org/W3082453666","https://openalex.org/W3087634397","https://openalex.org/W3093212523","https://openalex.org/W3111007659","https://openalex.org/W3115455310","https://openalex.org/W3125803554","https://openalex.org/W3153628712","https://openalex.org/W3154252594","https://openalex.org/W3163311383","https://openalex.org/W3182795819","https://openalex.org/W3193024002","https://openalex.org/W3197156367","https://openalex.org/W4285272435","https://openalex.org/W4293354637","https://openalex.org/W4306155219","https://openalex.org/W4317496130","https://openalex.org/W4319999780","https://openalex.org/W4396669359"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W4386214543","https://openalex.org/W3082051559","https://openalex.org/W1969988626","https://openalex.org/W1682621979","https://openalex.org/W2953675148","https://openalex.org/W2300921526"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
