{"id":"https://openalex.org/W2152833117","doi":"https://doi.org/10.1145/2345396.2345504","title":"A classification based framework for privacy preserving data mining","display_name":"A classification based framework for privacy preserving data mining","publication_year":2012,"publication_date":"2012-08-03","ids":{"openalex":"https://openalex.org/W2152833117","doi":"https://doi.org/10.1145/2345396.2345504","mag":"2152833117"},"language":"en","primary_location":{"id":"doi:10.1145/2345396.2345504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Computing, Communications and Informatics","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/A5112410945","display_name":"Animesh Tripathy","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Animesh Tripathy","raw_affiliation_strings":["KIIT University"],"affiliations":[{"raw_affiliation_string":"KIIT University","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008997613","display_name":"Jayanti Dansana","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayanti Dansana","raw_affiliation_strings":["KIIT University"],"affiliations":[{"raw_affiliation_string":"KIIT University","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030781752","display_name":"Ranjita Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ranjita Mishra","raw_affiliation_strings":["KIIT University"],"affiliations":[{"raw_affiliation_string":"KIIT University","institution_ids":["https://openalex.org/I67357951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112410945"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13547419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"660","last_page":"666"},"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":0.9994000196456909,"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":0.9990000128746033,"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":0.7985990047454834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6271788477897644},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.607941210269928},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5856522917747498},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5521327257156372},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5322304368019104},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"Secure multi-party computation","score":0.4953369200229645},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47322049736976624},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4305826723575592},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3831430673599243},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2676432728767395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1872287392616272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15623939037322998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985990047454834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6271788477897644},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.607941210269928},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5856522917747498},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5521327257156372},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5322304368019104},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.4953369200229645},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47322049736976624},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4305826723575592},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3831430673599243},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2676432728767395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1872287392616272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15623939037322998},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2345396.2345504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Computing, Communications and Informatics","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":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1574534563","https://openalex.org/W1999602050","https://openalex.org/W2027471022","https://openalex.org/W2047370889","https://openalex.org/W2092422002","https://openalex.org/W2093367651","https://openalex.org/W2098970170","https://openalex.org/W2128420091","https://openalex.org/W2128906841","https://openalex.org/W2134149606","https://openalex.org/W2140190241","https://openalex.org/W2141306376","https://openalex.org/W2149706766","https://openalex.org/W4248358572"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2091483479"],"abstract_inverted_index":{"The":[0,47,66],"information":[1,39],"age":[2],"has":[3],"enabled":[4],"many":[5],"organizations":[6],"to":[7,23,54,73,82,92],"gather":[8],"huge":[9],"volumes":[10],"of":[11,32,43,49,59,63,79],"data.":[12],"A":[13],"scenario":[14],"in":[15,122],"which":[16],"two":[17],"parties":[18],"owning":[19],"confidential":[20],"databases":[21],"wish":[22],"run":[24],"a":[25,50,60],"data":[26],"mining":[27],"algorithm":[28],"on":[29],"the":[30,41,44,84,88,96,99,108],"union":[31],"their":[33],"databases,":[34],"without":[35],"illuminating":[36],"any":[37],"unnecessary":[38],"requires":[40],"protection":[42],"privileged":[45],"information.":[46],"aim":[48],"classification":[51],"problem":[52],"is":[53],"classify":[55],"transactions":[56,90,97],"into":[57],"one":[58],"discrete":[61],"set":[62],"possible":[64],"categories.":[65],"secure":[67],"multiparty":[68],"computation":[69],"problems":[70],"that":[71,119],"need":[72],"be":[74],"solved":[75],"at":[76],"this":[77,104],"point":[78],"time":[80],"are":[81],"find":[83],"class":[85,101],"value":[86],"with":[87],"most":[89],"and":[91,113,117,124],"determine":[93],"whether":[94],"all":[95],"have":[98],"same":[100],"attribute.":[102],"In":[103],"paper":[105],"we":[106],"demonstrate":[107],"difference":[109],"between":[110],"gini":[111],"index":[112],"entropy":[114],"attribute":[115],"measures":[116],"prove":[118],"pruning":[120],"results":[121],"accuracy":[123],"privacy.":[125]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
