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Author : Leon Willenborg,Ton de Waal
Publisher : Unknown
Page : 172 pages
File Size : 40,7 Mb
Release : 2014-09-01
Category : Electronic
ISBN : 1461240298
Author : Leon Willenborg,Ton de Waal
Publisher : Springer Science & Business Media
Page : 164 pages
File Size : 41,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461240280
The aim of this book is to discuss various aspects associated with disseminating personal or business data collected in censuses or surveys or copied from administrative sources. The problem is to present the data in such a form that they are useful for statistical research and to provide sufficient protection for the individuals or businesses to whom the data refer. The major part of this book is concerned with how to define the disclosure problem and how to deal with it in practical circumstances.
Author : George T. Duncan,Mark Elliot,Gonzalez Juan Jose Salazar
Publisher : Springer Science & Business Media
Page : 205 pages
File Size : 54,6 Mb
Release : 2011-03-22
Category : Social Science
ISBN : 9781441978028
Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, “Just give me the data; I’m only going to do good things with it.” Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups. The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.
Author : Anco Hundepool,Josep Domingo-Ferrer,Luisa Franconi,Sarah Giessing,Eric Schulte Nordholt,Keith Spicer,Peter-Paul de Wolf
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 52,9 Mb
Release : 2012-07-05
Category : Mathematics
ISBN : 9781118348215
A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents. Statistical disclosure control is combined with other tools such as administrative, legal and IT in order to define a proper data dissemination strategy based on a risk management approach. The key concepts of statistical disclosure control are presented, along with the methodology and software that can be used to apply various methods of statistical disclosure control. Numerous examples and guidelines are also featured to illustrate the topics covered. Statistical Disclosure Control: Presents a combination of both theoretical and practical solutions Introduces all the key concepts and definitions involved with statistical disclosure control. Provides a high level overview of how to approach problems associated with confidentiality. Provides a broad-ranging review of the methods available to control disclosure. Explains the subtleties of group disclosure control. Features examples throughout the book along with case studies demonstrating how particular methods are used. Discusses microdata, magnitude and frequency tabular data, and remote access issues. Written by experts within leading National Statistical Institutes. Official statisticians, academics and market researchers who need to be informed and make decisions on disclosure limitation will benefit from this book.
Author : Leon Willenborg,Ton De Waal
Publisher : Springer
Page : 284 pages
File Size : 40,6 Mb
Release : 2011-04-26
Category : Electronic
ISBN : 146130122X
Author : Jörg Drechsler
Publisher : Springer Science & Business Media
Page : 148 pages
File Size : 50,8 Mb
Release : 2011-06-24
Category : Social Science
ISBN : 9781461403265
The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal with real data problems like nonresponse, skip patterns, or logical constraints. Each chapter is dedicated to one approach, first describing the general concept followed by a detailed application to a real dataset providing useful guidelines on how to implement the theory in practice. The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, generating partially synthetic datasets, generating synthetic datasets when the original data is subject to nonresponse, and a two-stage imputation approach that helps to better address the omnipresent trade-off between analytical validity and the risk of disclosure. The book concludes with a glimpse into the future of synthetic datasets, discussing the potential benefits and possible obstacles of the approach and ways to address the concerns of data users and their understandable discomfort with using data that doesn’t consist only of the originally collected values. The book is intended for researchers and practitioners alike. It helps the researcher to find the state of the art in synthetic data summarized in one book with full reference to all relevant papers on the topic. But it is also useful for the practitioner at the statistical agency who is considering the synthetic data approach for data dissemination in the future and wants to get familiar with the topic.
Author : Leon Willenborg,Ton de Waal
Publisher : Springer Science & Business Media
Page : 273 pages
File Size : 46,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461301219
Statistical disclosure control is the discipline that deals with producing statistical data that are safe enough to be released to external researchers. This book concentrates on the methodology of the area. It deals with both microdata (individual data) and tabular (aggregated) data. The book attempts to develop the theory from what can be called the paradigm of statistical confidentiality: to modify unsafe data in such a way that safe (enough) data emerge, with minimum information loss. This book discusses what safe data, are, how information loss can be measured, and how to modify the data in a (near) optimal way. Once it has been decided how to measure safety and information loss, the production of safe data from unsafe data is often a matter of solving an optimization problem. Several such problems are discussed in the book, and most of them turn out to be hard problems that can be solved only approximately. The authors present new results that have not been published before. The book is not a description of an area that is closed, but, on the contrary, one that still has many spots awaiting to be more fully explored. Some of these are indicated in the book. The book will be useful for official, social and medical statisticians and others who are involved in releasing personal or business data for statistical use. Operations researchers may be interested in the optimization problems involved, particularly for the challenges they present. Leon Willenborg has worked at the Department of Statistical Methods at Statistics Netherlands since 1983, first as a researcher and since 1989 as a senior researcher. Since 1989 his main field of research and consultancy has been statistical disclosure control. From 1996-1998 he was the project coordinator of the EU co-funded SDC project.
Author : Josep Domingo-Ferrer
Publisher : Springer
Page : 231 pages
File Size : 40,6 Mb
Release : 2003-08-01
Category : Computers
ISBN : 9783540478041
Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.
Author : United States. Federal Committee on Statistical Methodology. Subcommittee on Disclosure-Avoidance Techniques
Publisher : Unknown
Page : 84 pages
File Size : 54,6 Mb
Release : 1978
Category : Government information
ISBN : MINN:31951D006696153
Author : Aris Gkoulalas-Divanis,Grigorios Loukides
Publisher : Springer
Page : 832 pages
File Size : 41,8 Mb
Release : 2015-11-26
Category : Computers
ISBN : 9783319236339
This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.
Author : Josep Domingo-Ferrer,Emmanouil Magkos
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 42,9 Mb
Release : 2010-09-09
Category : Computers
ISBN : 9783642158377
This book constitutes the proceedings of the International Conference on Privacy in Statistical Databases held in Corfu, Greece, in September 2010.
Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
Page : 7972 pages
File Size : 54,7 Mb
Release : 2014-07-31
Category : Computers
ISBN : 9781466658899
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Author : Przemyslaw Grzegorzewski,Olgierd Hryniewicz,Maria A. Gil
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 55,6 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9783790817737
Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis.
Author : Anonim
Publisher : Unknown
Page : 68 pages
File Size : 51,9 Mb
Release : 1995
Category : Confidential communications
ISBN : STANFORD:36105111611609
Author : G. David Garson
Publisher : IGI Global
Page : 318 pages
File Size : 53,9 Mb
Release : 1999-01-01
Category : Computers
ISBN : 1878289527
"Information Technology and Computer Applications in Public Administration: Issues and Trends constitutes a survey of many of the most important dimensions of managing information technology in the public sector. In Part I, chapters address general policy and administrative issues. The chapters of Part II represent applied information technology skills needed by public managers"--Provided by publisher.