{"id":"https://openalex.org/W2107529975","doi":"https://doi.org/10.1109/iscas.2005.1465887","title":"Privacy preserving data mining with unidirectional interaction","display_name":"Privacy preserving data mining with unidirectional interaction","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2107529975","doi":"https://doi.org/10.1109/iscas.2005.1465887","mag":"2107529975"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2005.1465887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1465887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Symposium on Circuits and Systems","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/A5038483763","display_name":"Chai Wah Wu","orcid":"https://orcid.org/0000-0002-0657-0683"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chai Wah Wu","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038483763"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.13061069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5521","last_page":"5524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9976000189781189,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8131135702133179},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6496294140815735},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5791542530059814},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5592502951622009},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"Secure multi-party computation","score":0.5196755528450012},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5059980750083923},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.44042083621025085},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43593084812164307},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3734281063079834},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33341482281684875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2103053629398346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131135702133179},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6496294140815735},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5791542530059814},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5592502951622009},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.5196755528450012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5059980750083923},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.44042083621025085},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43593084812164307},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3734281063079834},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33341482281684875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2103053629398346},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2005.1465887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1465887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W188896134","https://openalex.org/W1484413656","https://openalex.org/W1528076390","https://openalex.org/W1999602050","https://openalex.org/W2112022568","https://openalex.org/W2128906841","https://openalex.org/W2129548234","https://openalex.org/W2145747124","https://openalex.org/W4248358572","https://openalex.org/W6607705403","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W2069340834","https://openalex.org/W2550686250","https://openalex.org/W2083288298","https://openalex.org/W2607129240","https://openalex.org/W2083944649","https://openalex.org/W4309503015","https://openalex.org/W2596305496","https://openalex.org/W2577220285","https://openalex.org/W1548444773","https://openalex.org/W58529046"],"abstract_inverted_index":{"Privacy":[0],"concerns":[1],"over":[2],"the":[3,14,38,41,45,63,95,111,122,128,132,149,213,230],"ever-increasing":[4],"gathering":[5],"of":[6,16,40,76,179,218],"personal":[7],"information":[8,209],"by":[9,43,229],"various":[10],"institutions":[11],"led":[12],"to":[13,24,57,72,131,186,202,237],"development":[15],"privacy":[17,25,39,187,206,220,238],"preserving":[18,26,188,221,239],"data":[19,27,42,46,96,123,137,156,159,180,189,196],"mining.":[20,190,242],"Two":[21],"main":[22],"approaches":[23],"mining":[28],"have":[29,203],"emerged":[30],"in":[31,87,92,174],"recent":[32],"years.":[33],"The":[34,51,135],"first":[35],"approach":[36,53,65,185],"protects":[37],"perturbing":[44],"through":[47],"a":[48,183,195,219],"random":[49,177],"process.":[50],"second":[52,64],"uses":[54],"cryptographic":[55],"techniques":[56],"perform":[58],"secure":[59,165],"multi-party":[60,166],"computation.":[61],"While":[62],"is":[66,125,138,227],"generally":[67],"viewed":[68],"as":[69,107,119],"superior":[70],"due":[71],"its":[73],"strong":[74],"assurance":[75],"privacy,":[77],"there":[78],"are":[79,162],"reasons":[80],"why":[81],"it":[82],"might":[83],"not":[84,101],"be":[85,169,182],"appropriate":[86],"certain":[88],"applications.":[89],"For":[90],"instance,":[91],"some":[93],"cases,":[94,117,148,176],"collection":[97],"phase":[98],"usually":[99],"does":[100],"allow":[102],"for":[103,164],"complicated":[104,150],"processing,":[105],"such":[106,118],"ballots":[108],"cast":[109],"via":[110],"short":[112],"message":[113],"service.":[114],"In":[115,145,191],"other":[116],"paper":[120],"surveys,":[121],"flow":[124],"unidirectional":[126],"from":[127],"survey":[129,133,223],"taker":[130],"collector.":[134],"requested":[136],"sent":[139],"once":[140],"with":[141],"no":[142,225],"further":[143],"interaction.":[144],"both":[146],"these":[147,175],"computations":[151],"and":[152,158,208],"iterative":[153],"interaction":[154],"between":[155],"originators":[157],"collectors":[160],"that":[161],"required":[163],"computation":[167,226],"cannot":[168],"used.":[170],"We":[171,211],"show":[172],"how,":[173],"perturbation":[178,197],"can":[181],"useful":[184],"particular,":[192],"we":[193,233],"study":[194],"scheme":[198],"which":[199],"was":[200],"shown":[201],"asymptotically":[204],"small":[205],"loss":[207],"loss.":[210],"illustrate":[212],"ideas":[214],"using":[215],"an":[216],"example":[217],"paper-based":[222],"where":[224],"done":[228],"users.":[231],"Finally,":[232],"apply":[234],"this":[235],"method":[236],"association":[240],"rules":[241]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}