{"id":"https://openalex.org/W2158737417","doi":"https://doi.org/10.1145/1982185.1982395","title":"Target-based privacy preserving association rule mining","display_name":"Target-based privacy preserving association rule mining","publication_year":2011,"publication_date":"2011-03-21","ids":{"openalex":"https://openalex.org/W2158737417","doi":"https://doi.org/10.1145/1982185.1982395","mag":"2158737417"},"language":"en","primary_location":{"id":"doi:10.1145/1982185.1982395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1982185.1982395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM Symposium on Applied Computing","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/A5080986768","display_name":"Madhu V. Ahluwalia","orcid":"https://orcid.org/0000-0001-5976-9867"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Madhu Ahluwalia","raw_affiliation_strings":["University of Maryland Baltimore County (UMBC), Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County (UMBC), Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051208435","display_name":"Aryya Gangopadhyay","orcid":"https://orcid.org/0000-0002-7553-7932"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aryya Gangopadhyay","raw_affiliation_strings":["University of Maryland Baltimore County (UMBC), Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County (UMBC), Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438515","display_name":"Zhiyuan Chen","orcid":"https://orcid.org/0000-0002-6984-7248"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Chen","raw_affiliation_strings":["University of Maryland Baltimore County (UMBC), Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County (UMBC), Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072869372","display_name":"Yelena Yesha","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yelena Yesha","raw_affiliation_strings":["University of Maryland Baltimore County (UMBC), Baltimore, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County (UMBC), Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080986768"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13854586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"962","last_page":"967"},"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":0.9966999888420105,"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":0.9883999824523926,"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/association-rule-learning","display_name":"Association rule learning","score":0.9074323177337646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514896392822266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6592063307762146},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6101152896881104},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5731638073921204},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5592108368873596},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47809359431266785},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0936352014541626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0639423131942749}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9074323177337646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514896392822266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6592063307762146},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6101152896881104},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5731638073921204},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5592108368873596},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47809359431266785},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0936352014541626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0639423131942749},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1982185.1982395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1982185.1982395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7971259423","display_name":null,"funder_award_id":"IIS-0713345","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W184289144","https://openalex.org/W1510220247","https://openalex.org/W1512840853","https://openalex.org/W1544579602","https://openalex.org/W1564381193","https://openalex.org/W2060200740","https://openalex.org/W2078937669","https://openalex.org/W2085786100","https://openalex.org/W2105564121","https://openalex.org/W2110557355","https://openalex.org/W2112022568","https://openalex.org/W2125767601","https://openalex.org/W2128906841","https://openalex.org/W2129533844","https://openalex.org/W2160553465","https://openalex.org/W2163689844","https://openalex.org/W2165633547","https://openalex.org/W3004521035","https://openalex.org/W4248358572","https://openalex.org/W4251140153","https://openalex.org/W6675627833"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560"],"abstract_inverted_index":{"Association":[0],"rule":[1,74],"mining":[2,7,75],"is":[3,101],"an":[4],"important":[5],"data":[6,30,60],"task":[8],"applicable":[9],"across":[10],"many":[11],"commercial":[12],"and":[13,62,100],"scientific":[14],"domains.":[15],"There":[16],"are":[17],"instances":[18],"when":[19],"association":[20,73],"analysis":[21],"must":[22,53],"be":[23],"conducted":[24],"by":[25],"a":[26,33,67],"third":[27],"party":[28],"over":[29],"located":[31],"at":[32],"central":[34],"point,":[35],"but":[36],"updated":[37],"from":[38],"several":[39],"source":[40,43],"locations.":[41],"The":[42,50],"locations":[44],"may":[45],"not":[46],"allow":[47],"tracking":[48],"changes.":[49,106],"target":[51],"location":[52],"then":[54],"take":[55],"charge":[56],"of":[57,81,97],"the":[58,98],"changed":[59],"detection":[61],"privatization":[63],"process.":[64],"We":[65],"propose":[66],"solution":[68],"to":[69,87],"conduct":[70],"privacy":[71],"preserving":[72],"on":[76],"such":[77],"data.":[78],"An":[79],"evaluation":[80],"our":[82],"approach":[83],"shows":[84],"that":[85],"compared":[86],"existing":[88],"approaches,":[89],"it":[90],"renders":[91],"higher":[92],"privacy,":[93],"preserves":[94],"90%":[95],"-100%":[96],"rules":[99],"efficient":[102],"for":[103],"10%":[104],"database":[105]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
