{"id":"https://openalex.org/W2036175803","doi":"https://doi.org/10.1109/ijcnn.2014.6889613","title":"Differentially private feature selection","display_name":"Differentially private feature selection","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2036175803","doi":"https://doi.org/10.1109/ijcnn.2014.6889613","mag":"2036175803"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5060249465","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-1428-0280"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yang","raw_affiliation_strings":["College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","Coll. of Comput. Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Coll. of Comput. Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057838181","display_name":"Yun Li","orcid":"https://orcid.org/0000-0003-4442-3825"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","Coll. of Comput. Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Coll. of Comput. Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060249465"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":1.6361,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87137754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9740999937057495,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9670000076293945,"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/computer-science","display_name":"Computer science","score":0.6545389890670776},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5648615956306458},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5414419770240784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44534650444984436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38897067308425903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545389890670776},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5648615956306458},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5414419770240784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44534650444984436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38897067308425903},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1561190474","https://openalex.org/W1873763122","https://openalex.org/W1975846642","https://openalex.org/W2093071370","https://openalex.org/W2102831150","https://openalex.org/W2112380340","https://openalex.org/W2119874464","https://openalex.org/W2129157759","https://openalex.org/W2133462743","https://openalex.org/W2146077544","https://openalex.org/W2148830179","https://openalex.org/W2280188887","https://openalex.org/W2911978475","https://openalex.org/W2950943617","https://openalex.org/W6676639149","https://openalex.org/W6677855611","https://openalex.org/W6681429078","https://openalex.org/W6682174076","https://openalex.org/W6758947373"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"The":[0,13,94],"privacy-preserving":[1,19],"data":[2,32,41,92,104],"analysis":[3],"has":[4],"been":[5],"gained":[6],"significant":[7],"interest":[8],"across":[9],"several":[10],"research":[11],"communities.":[12],"current":[14],"researches":[15],"mainly":[16],"focus":[17],"on":[18,79,90],"classification":[20],"and":[21,43,74,82],"regression.":[22],"However,":[23],"feature":[24,69],"selection":[25,70],"is":[26,72],"also":[27,86],"an":[28],"essential":[29],"component":[30],"for":[31],"analysis,":[33],"which":[34],"can":[35,44,101],"be":[36,45],"used":[37],"to":[38,47,61,106],"reduce":[39],"the":[40,103],"dimensionality":[42],"utilized":[46],"discover":[48],"knowledge,":[49],"such":[50],"as":[51],"inherent":[52],"variables":[53],"in":[54,59,76],"data.":[55],"In":[56],"this":[57],"paper,":[58],"order":[60],"efficiently":[62],"mine":[63],"sensitive":[64],"data,":[65],"a":[66],"privacy":[67,105],"preserving":[68],"algorithm":[71,100],"proposed":[73],"analyzed":[75],"theory":[77],"based":[78],"local":[80],"learning":[81],"differential":[83],"privacy.":[84],"We":[85],"conduct":[87],"some":[88,107],"experiments":[89],"benchmark":[91],"sets.":[93],"Experimental":[95],"results":[96],"show":[97],"that":[98],"our":[99],"preserve":[102],"extent.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}