Linking Sensitive Data

2020-10-17
Linking Sensitive Data

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  • Author: Peter Christen
  • Publisher: Springer Nature
  • ISBN: 3030597067
  • Category : Computers
  • Languages : en
  • Pages : 476

This book provides modern technical answers to the legal requirements of pseudonymisation as recommended by privacy legislation. It covers topics such as modern regulatory frameworks for sharing and linking sensitive information, concepts and algorithms for privacy-preserving record linkage and their computational aspects, practical considerations such as dealing with dirty and missing data, as well as privacy, risk, and performance assessment measures. Existing techniques for privacy-preserving record linkage are evaluated empirically and real-world application examples that scale to population sizes are described. The book also includes pointers to freely available software tools, benchmark data sets, and tools to generate synthetic data that can be used to test and evaluate linkage techniques. This book consists of fourteen chapters grouped into four parts, and two appendices. The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases. The appendices provide pointers and describe freely available, open-source software systems that allow the linkage of sensitive data, and provide further details about the evaluations presented. A companion Web site at https://dmm.anu.edu.au/lsdbook2020 provides additional material and Python programs used in the book. This book is mainly written for applied scientists, researchers, and advanced practitioners in governments, industry, and universities who are concerned with developing, implementing, and deploying systems and tools to share sensitive information in administrative, commercial, or medical databases. The Book describes how linkage methods work and how to evaluate their performance. It covers all the major concepts and methods and also discusses practical matters such as computational efficiency, which are critical if the methods are to be used in practice - and it does all this in a highly accessible way!David J. Hand, Imperial College, London

Data Matching

2012-07-04
Data Matching

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  • Author: Peter Christen
  • Publisher: Springer Science & Business Media
  • ISBN: 3642311644
  • Category : Computers
  • Languages : en
  • Pages : 279

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Designing Data-Intensive Applications

2017-03-16
Designing Data-Intensive Applications

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  • Author: Martin Kleppmann
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1491903104
  • Category : Computers
  • Languages : en
  • Pages : 658

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Advanced Information Systems Engineering Workshops

Advanced Information Systems Engineering Workshops

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  • Author: João Paulo A. Almeida
  • Publisher: Springer Nature
  • ISBN: 3031610032
  • Category :
  • Languages : en
  • Pages : 382

Registries for Evaluating Patient Outcomes

2014-04-01
Registries for Evaluating Patient Outcomes

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  • Author: Agency for Healthcare Research and Quality/AHRQ
  • Publisher: Government Printing Office
  • ISBN: 1587634333
  • Category : Medical
  • Languages : en
  • Pages : 385

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

Handbook of Big Data Technologies

2017-02-25
Handbook of Big Data Technologies

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  • Author: Albert Y. Zomaya
  • Publisher: Springer
  • ISBN: 331949340X
  • Category : Computers
  • Languages : en
  • Pages : 890

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

Linking and Mining Heterogeneous and Multi-view Data

2018-12-13
Linking and Mining Heterogeneous and Multi-view Data

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  • Author: Deepak P
  • Publisher: Springer
  • ISBN: 3030018725
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 345

This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of growth of data vastly outpacing any chance of labeling them manually. The book looks at the underlying algorithms and technologies that facilitate the area within big data analytics, it covers their applications across domains such as smarter transportation, social media, fake news detection and enterprise search among others. This book enables readers to understand a spectrum of advances in this emerging area, and it will hopefully empower them to leverage and develop methods in multi-source data fusion and analytics with applications to a variety of scenarios. Includes advances on unsupervised, semi-supervised and supervised approaches to heterogeneous data linkage and fusion; Covers use cases of analytics over multi-view and heterogeneous data from across a variety of domains such as fake news, smarter transportation and social media, among others; Provides a high-level overview of advances in this emerging field and empowers the reader to explore novel applications and methodologies that would enrich the field.

Mining of Massive Datasets

2014-11-13
Mining of Massive Datasets

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  • Author: Jure Leskovec
  • Publisher: Cambridge University Press
  • ISBN: 1107077230
  • Category : Computers
  • Languages : en
  • Pages : 480

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Assessing Crown Fire Potential by Linking Models of Surface and Crown Fire Behavior

2001
Assessing Crown Fire Potential by Linking Models of Surface and Crown Fire Behavior

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  • Author: Joe H. Scott
  • Publisher:
  • ISBN:
  • Category : Fire risk assessment
  • Languages : en
  • Pages : 68

Fire managers are increasingly concerned about the threat of crown fires, yet only now are quantitative methods for assessing crown fire hazard being developed. Links among existing mathematical models of fire behavior are used to develop two indices of crown fire hazard-the Torching Index and Crowning Index. These indices can be used to ordinate different forest stands by their relative susceptibility to crown fire and to compare the effectiveness of crown fire mitigation treatments. The coupled model was used to simulate the wide range of fire behavior possible in a forest stand, from a low-intensity surface fire to a high-intensity active crown fire, for the purpose of comparing potential fire behavior. The hazard indices and behavior simulations incorporate the effects of surface fuel characteristics, dead and live fuel moistures (surface and crown), slope steepness, canopy base height, canopy bulk density, and wind reduction by the canopy. Example simulations are for western Montana Pinus ponderosa and Pinus contorta stands. Although some of the models presented here have had limited testing or restricted geographic applicability, the concepts will apply to models for other regions and new models with greater geographic applicability.

Personal Power through Awareness

2019
Personal Power through Awareness

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  • Author: Sanaya Roman
  • Publisher: H J Kramer
  • ISBN: 1608686078
  • Category : Body, Mind & Spirit
  • Languages : en
  • Pages : 274

Channel Sanaya Roman presents Personal Power through Awareness, given to her by Orin, a timeless being of love and light. In the tradition of Jane Roberts, Esther Hicks, and Edgar Cayce, this wise and gentle spirit teacher offers an accelerated, step-by-step course in sensing energy. Using these easy-to-follow processes, thousands have learned to create immediate and profound changes in their lives and relationships. With the assistance of this bestselling classic, you can see immediate results in your life when you learn how to: • Be aware of the unseen energy you are in and around. • Listen to and take action on your intuition. • Develop your telepathic abilities. • Receive energy and light from your higher self, soul, and divine Self. • Connect with your guides and inner teachers. • Change your inner dialog and raise your vibration. Your sensitivity is a gift! You can use the information in this book to: • Become aware of the effect other people are having on you. • Stay neutral around others. • Stop being affected by other people's moods or negativity. • Love who you are and express your truth. • Learn when to pay attention to your own needs and when to be selfless. • Stay centered and balanced. • Increase the positive energy around you.