Protecting Your Privacy in a Data-Driven World, Bowen Claire McKay
Автор: Frost Jim Название: Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions ISBN: 173543115X ISBN-13(EAN): 9781735431154 Издательство: Неизвестно Рейтинг: Цена: 31870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With a near 50% divorce rate in the United States, every parent who reads this book is either going through a divorce, has been divorced, is married to or living with someone who is divorced, or will go through one or more of his/her children`s divorces. Unlike books designed to enlighten parents about children`s reactions to divorce, A Parents` Guide to Child Custody is written for parents themselves. The book provides parents with an overview of the context within which custody is decided by courts today, including a chapter-by-chapter explanation of the factors that are considered by the court in rendering a custody decision. Part I opens the book with three brief case histories in which the reader is asked to put herself/himself in the place of the court by imaging what custody decisions they would make if they were the judge. This chapter is followed by an orientation to the three major factors that all courts consider in coming to a custody decision. Each subsequent chapter addresses the specific factors that are weighed by the court in its deliberations. Part II provides a more in-depth view of such topics as the factors considered by judges in coming to a custody decision, what to expect when undergoing a child custody evaluation, the use and pitfalls of psychological tests, the assessment of parental capacity, and strategies for countering false allegations. Part III reviews eight myths (i.e. commonly held misconceptions) about what is best for children, as well as guidelines for discussing custody with your children. Part IV provides insight into how best to deal with parental alienation, domestic violence, and obstruction of one parent`s access by the other parent after the court has ruled on custody. Part V concludes with eight sure-fire ways to lose custody as well as the custody evaluator`s recommendations in each of the three hypothetical cases presented in Part I. It is the author`s sincere hope that this book will help parents become better advocates for themselves and for their children.
Автор: Steven L. Brunton, J. Nathan Kutz Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control ISBN: 1108422098 ISBN-13(EAN): 9781108422093 Издательство: Amazon Internet Рейтинг: Цена: 0.00 T Наличие на складе: Невозможна поставка. Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.
Автор: Crato Название: Data-Driven Policy Impact Evaluation ISBN: 3319784609 ISBN-13(EAN): 9783319784601 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage.
Автор: Bowen, Claire Mckay Название: Protecting your privacy in a data-driven world ISBN: 0367640740 ISBN-13(EAN): 9780367640743 Издательство: Taylor&Francis Рейтинг: Цена: 25510.00 T Наличие на складе: Невозможна поставка. Описание: Does sacrifice to personal information outweigh public good? Access to personal and confidential data allows for more evidence-based, data-informed decisions that can accelerate economic recovery, improve COVID-19 vaccine distribution. However, access comes at a steep privacy cost for contributors, especially underrepresented groups.
Автор: Arijit Chaudhuri Название: Data Gathering, Analysis and Protection of Privacy through Random ISBN: 044463570X ISBN-13(EAN): 9780444635709 Издательство: Elsevier Science Рейтинг: Цена: 205490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
"Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits "tackles how to gather and analyze data relating to stigmatizing human traits. S.L. Warner invented RRT and published it in JASA, 1965. In the 50 years since, the subject has grown tremendously, with continued growth. This book comprehensively consolidates the literature to commemorate the inception of RR. Brings together all relevant aspects of randomized response and indirect questioningTackles how to gather and analyze data relating to stigmatizing human traitsGives an encyclopedic coverage of the topicCovers recent developments and extrapolates to future trends
Автор: Qu Youyang, Nosouhi Mohammad Reza, Cui Lei Название: Personalized Privacy Protection in Big Data ISBN: 9811637490 ISBN-13(EAN): 9789811637490 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: - Chapter 1: Introduction
o Privacy research landscape
o Personalized privacy overview
o Contribution of this book
o Remainder of the book
- Chapter 2: Current Methods of Privacy Protection
o Cryptography based methods
o Differential privacy methods
o Anonymity-based methods
o Clustering-base methods
o Machine learning and AI methods
- Chapter 3: Privacy Attacks
o Attack classification
o Rationale of the attacks
o The comparison of attacks
- Chapter 4: Personalize Privacy Defense
o Personalized privacy in cyber-physical systems
o Personalized privacy in social networks
o Personalized privacy in smart city
o Personalized privacy in location-based services
o Personalized privacy on the rise
- Chapter 5: Future Directions
o Trade-off optimization
o Decentralized privacy protection
o Privacy-preserving federated learning
o Federated generative adversarial nets
- Chapter6: Summary and Outlook
Автор: Qu Название: Personalized Privacy Protection in Big Data ISBN: 9811637520 ISBN-13(EAN): 9789811637520 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic. In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.
Автор: Larson Jessica Megan Название: Snowflake Access Control: Mastering the Features for Data Privacy and Regulatory Compliance ISBN: 1484280377 ISBN-13(EAN): 9781484280379 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understand the different access control paradigms available in the Snowflake Data Cloud and learn how to implement access control in support of data privacy and compliance with regulations such as GDPR, APPI, CCPA, and SOX. The information in this book will help you and your organization adhere to privacy requirements that are important to consumers and becoming codified in the law. You will learn to protect your valuable data from those who should not see it while making it accessible to the analysts whom you trust to mine the data and create business value for your organization. Snowflake is increasingly the choice for companies looking to move to a data warehousing solution, and security is an increasing concern due to recent high-profile attacks. This book shows how to use Snowflake's wide range of features that support access control, making it easier to protect data access from the data origination point all the way to the presentation and visualization layer. Reading this book helps you embrace the benefits of securing data and provide valuable support for data analysis while also protecting the rights and privacy of the consumers and customers with whom you do business. What You Will Learn * Identify data that is sensitive and should be restricted * Implement access control in the Snowflake Data Cloud * Choose the right access control paradigm for your organization * Comply with CCPA, GDPR, SOX, APPI, and similar privacy regulations * Take advantage of recognized best practices for role-based access control * Prevent upstream and downstream services from subverting your access control * Benefit from access control features unique to the Snowflake Data Cloud Who This Book Is For Data engineers, database administrators, and engineering managers who want to improve their access control model; those whose access control model is not meeting privacy and regulatory requirements; those new to Snowflake who want to benefit from access control features that are unique to the platform; technology leaders in organizations that have just gone public and are now required to conform to SOX reporting requirements
Автор: Bansal Jagdish Chand, Fung Lance C. C., Simic Milan Название: Advances in Applications of Data-Driven Computing ISBN: 9813369183 ISBN-13(EAN): 9789813369184 Издательство: Springer Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications.
Автор: Si Xiao-Sheng, Zhang Zheng-Xin, Hu Chang-Hua Название: Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications ISBN: 3662571730 ISBN-13(EAN): 9783662571736 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.
Автор: Shang Chao Название: Dynamic Modeling of Complex Industrial Processes: Data-Driven Methods and Application Research ISBN: 9811338892 ISBN-13(EAN): 9789811338892 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Concurrent monitoring of steady state and process dynamics with SFA.- Online monitoring and diagnosis of control performance with SFA and contribution plots.- Recursive SFA algorithm and adaptive monitoring system design.- Probabilistic SFR model and its applications in dynamic quality prediction.- Improved DPLS model with temporal smoothness and its applications in dynamic quality prediction.- Nonlinear and dynamic soft sensing model based on Bayesian framework.- Summary and open problems.
Автор: Nuno Crato; Paolo Paruolo Название: Data-Driven Policy Impact Evaluation ISBN: 3030087034 ISBN-13(EAN): 9783030087036 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
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