@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix org: <http://www.w3.org/ns/org#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.nasa.gov/dataset/587a7b40-8498-42df-bb17-7327681cbe2e> a dcat:Dataset ;
    dct:description """This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such as average/sum computation, decision tree induction, feature selection, and more.\r
Unlike most multi-party privacy-preserving data mining algorithms, this approach works in an asynchronous manner through local interactions and it is highly scalable. It particularly deals with the distributed computation of the sum of a set of numbers stored at different peers in a P2P network in the context of a P2P web mining application. The proposed optimization based privacy-preserving technique for computing the sum allows different peers to specify different privacy requirements without having to adhere to a global set of parameters for the chosen privacy model. Since distributed sum computation is a frequently used primitive,\r
the proposed approach is likely to have significant impact on many data mining tasks such as multi-party privacy-preserving clustering, frequent itemset mining, and statistical aggregate computation.""" ;
    dct:identifier "DASHLINK_262" ;
    dct:issued "2010-11-17"^^xsd:date ;
    dct:modified "2020-01-29"^^xsd:date ;
    dct:publisher <https://data.nasa.gov/organization/dbb294e4-8597-44f5-aaf4-c0baac12cdbc> ;
    dct:title "Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Kanishka Bhaduri" ;
            vcard:hasEmail <mailto:kanishka.bhaduri-1@nasa.gov> ] ;
    dcat:distribution <https://data.nasa.gov/dataset/587a7b40-8498-42df-bb17-7327681cbe2e/resource/9f170a55-be90-44b8-96e6-1f82ac1065eb> ;
    dcat:keyword "ames",
        "dashlink",
        "nasa" .

<https://data.nasa.gov/dataset/587a7b40-8498-42df-bb17-7327681cbe2e/resource/9f170a55-be90-44b8-96e6-1f82ac1065eb> a dcat:Distribution ;
    dct:description "Multi-objective optimization.pdf" ;
    dct:format "PDF" ;
    dct:identifier "9f170a55-be90-44b8-96e6-1f82ac1065eb" ;
    dct:issued "2025-03-31T23:50:31.550463"^^xsd:dateTime ;
    dct:modified "2025-03-31T23:50:31.533609"^^xsd:dateTime ;
    dct:title "Multi-objective optimization.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/Multi-objective_optimization.pdf> ;
    dcat:mediaType "application/pdf" .

<https://data.nasa.gov/organization/dbb294e4-8597-44f5-aaf4-c0baac12cdbc> a org:Organization ;
    skos:prefLabel "NASA" ;
    foaf:name "NASA" .