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Offering a structured approach to handling and recovering from a catastrophic data loss, this book will help both technical and non;
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used to teach key areas of difficulty or potential pitfalls to avoid. This book also highlights evidence-based outcomes data from large studies;
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Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this;
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A data security breach occurs when there is a loss or theft of, or other unauthorized access to, sensitive personally identifiable;
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A modern practical guide to building and using actuarial models. Loss Models: From Data to Decisions is organized around the principle;
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Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data;
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Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data;
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First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.;...
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of catastrophic flooding. These papers make the case for the careful collection and interpretation of data from which the importance and effects;
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Store; database availability groups; mailbox replication service; compliance, data leakage, and data loss prevention; site mailboxes; modern;
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A single data breach can put an organization out of business within a few short months. An unprepared organization may be unable to handle;
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uncertainties, and rare events with catastrophic consequences. Traditional scientific approaches rely on data from real observations and experiments;
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From losing a loved one to a difficult breakup, each person experiences grief and loss in their own ;...
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estimates point to 2007 as being the worst year on record for data loss. As breaches in information security continue to make headline news, it;
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Center, but the applications to other individual and catastrophic events is obvious. The contributions do not simply explore how people deal with;
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is data loss prevention, and in a catastrophic data loss event, pre-defined data recovery techniques must be employed in order to get the;
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This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost;
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Protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy for your database enterprise. This;
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privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used;
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in general only poorly understood. This study has assembled detailed data that will provide a platform for future landscape-based research and site;
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The term data breach generally refers to the unauthorised or unintentional exposure, disclosure, or loss of sensitive information. A data;
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Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be;
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Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be;
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The mobile threat landscape is evolving bringing about new forms of data loss. No longer can organizations rely on security policies;
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Protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy, performing threat analysis, and;
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This new edition of a groundbreaking work reflects important developments in the general understandi;...
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This new edition of a groundbreaking work reflects important developments in the general understandi;...
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