{"id":"https://openalex.org/W4406458443","doi":"https://doi.org/10.1109/bigdata62323.2024.10825316","title":"Enhancing Synthetic Data Generation for Class Imbalance and Privacy Preservation","display_name":"Enhancing Synthetic Data Generation for Class Imbalance and Privacy Preservation","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458443","doi":"https://doi.org/10.1109/bigdata62323.2024.10825316"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5115940085","display_name":"Weijie Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Weijie Niu","raw_affiliation_strings":["University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050"],"affiliations":[{"raw_affiliation_string":"University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048111522","display_name":"Alberto Huertas","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alberto Huertas","raw_affiliation_strings":["University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050"],"affiliations":[{"raw_affiliation_string":"University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338395","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-9677-0215"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050"],"affiliations":[{"raw_affiliation_string":"University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033030418","display_name":"Burkhard Stiller","orcid":"https://orcid.org/0000-0002-7461-7463"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Burkhard Stiller","raw_affiliation_strings":["University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050"],"affiliations":[{"raw_affiliation_string":"University of Zurich UZH,Communication Systems Group CSG,Department of Informatics,Z&#x00FC;rich,Switzerland,CH-8050","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115940085"],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70828264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7104","last_page":"7109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9905999898910522,"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":0.9905999898910522,"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":0.9513999819755554,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7505125999450684},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6510398983955383},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4697335660457611},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35993412137031555},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3469039797782898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26038599014282227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505125999450684},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6510398983955383},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4697335660457611},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35993412137031555},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3469039797782898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26038599014282227}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2741951152","https://openalex.org/W2744999500","https://openalex.org/W2757504960","https://openalex.org/W2990138404","https://openalex.org/W3035574324","https://openalex.org/W3120740533","https://openalex.org/W4206912392","https://openalex.org/W4390665506","https://openalex.org/W4391467193","https://openalex.org/W6765451912","https://openalex.org/W6790857497","https://openalex.org/W6797867632","https://openalex.org/W6845025493"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W3195097297","https://openalex.org/W4225340788","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W2905822832","https://openalex.org/W2240244939"],"abstract_inverted_index":{"Synthetic":[0],"data":[1,18,39,83],"generation":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,68,77],"powerful":[7],"solution":[8,79],"to":[9,120],"meet":[10],"the":[11,95,106,121],"demand":[12],"for":[13],"high-quality,":[14],"diverse,":[15],"and":[16,33,53,71],"privacy-preserving":[17,78],"in":[19,36,99,104],"many":[20],"domains.":[21],"Still,":[22],"there":[23],"is":[24],"an":[25,73],"open":[26],"challenge":[27],"when":[28],"dealing":[29],"with":[30],"class":[31,64],"imbalance":[32,65],"privacy":[34,126],"preservation":[35],"synthetic":[37,82],"tabular":[38],"generation.":[40],"Thus,":[41],"this":[42,92],"study":[43,93],"introduces":[44],"two":[45],"algorithms:":[46],"balanced":[47,54,101],"Tabular":[48,55],"Generative":[49],"Adversarial":[50],"Network":[51],"(b-TGAN)":[52],"Principle":[56],"Component":[57],"Analysis":[58],"(b-TPCA).":[59],"While":[60],"b-TGAN":[61,98],"proactively":[62],"tackles":[63],"by":[66,80],"incorporating":[67],"re-balancing":[69],"mechanism":[70],"leveraging":[72],"Autoencoder,":[74],"b-TPCA":[75,111],"offers":[76],"generating":[81,100],"using":[84],"statistical":[85],"properties.":[86],"Through":[87],"experiments":[88],"on":[89,108],"five":[90],"datasets,":[91],"demonstrates":[94],"effectiveness":[96],"of":[97],"data,":[102],"particularly":[103],"improving":[105],"performance":[107],"minority":[109],"classes.":[110],"also":[112],"shows":[113],"promising":[114],"results,":[115],"achieving":[116],"comparable":[117],"ML":[118],"utility":[119],"baseline":[122],"method":[123],"while":[124],"enhancing":[125],"preservation.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
