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Predictive Coding Techniques With Manual Review to Identify Privileged Documents in E-Discovery

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개인저자Vinjumur, Jyothi K.
단체저자명University of Maryland, College Park. Library & Information Services.
서명/저자사항Predictive Coding Techniques With Manual Review to Identify Privileged Documents in E-Discovery.
발행사항[S.l.] : University of Maryland, College Park., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항147 p.
소장본 주기School code: 0117.
ISBN9780438145832
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Douglas W. Oard.
요약In twenty-first century civil litigation, discovery focuses on the retrieval of electronically stored information. Lawsuits may be won or lost because of incorrect production of electronic evidence. Organizations may generate fewer paper documen
요약Two main questions that are central to building a privilege classifier are addressed. The first question seeks to determine which set of annotations can serve as a reliable basis for evaluation. The second question seeks to determine which of th
요약A research prototype is built to perform a user study. Privilege judgments are gathered from multiple lawyers using two user interfaces. One of the two interfaces includes automatically generated features to aid the review process. The goal is t
요약As cost is proportional to time during review, as the final step, this work introduces a semi-automated framework that aims to optimize the cost of the manual review process. The framework calls for litigants to make some rational choices about
요약Although the work in this dissertation is applied to e-discovery, similar approaches could be applied to any case in which retrieval systems have to withhold a set of confidential documents despite their relevance to the request.
일반주제명Artificial intelligence.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997694

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