자료유형 | 학위논문 |
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서명/저자사항 | Query Answering in Multi-relational Databases under Differential Privacy. |
개인저자 | Kotsogiannis, Ios. |
단체저자명 | Duke University. Computer Science. |
발행사항 | [S.l.]: Duke University., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 147 p. |
기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
ISBN | 9781088332771 |
학위논문주기 | Thesis (Ph.D.)--Duke University, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Machanavajjhala, Ashwin. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | Data collection has become a staple of both our digital and ``off-line'' activities. Government agencies, medical institutions, Internet companies, and academic institutions are among the main actors that collect and store users' data. Analysis and sharing of this data is paramount in our increasingly data-driven world.Data sharing provides a large positive societal value |
일반주제명 | Computer science. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |