Entity Resolution and Information Quality

Produk Detail:
  • Author : John R. Talburt
  • Publisher : Elsevier
  • Pages : 256 pages
  • ISBN : 9780123819734
  • Rating : /5 from reviews
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Download or Read online Entity Resolution and Information Quality full in PDF, ePub and kindle. this book written by John R. Talburt and published by Elsevier which was released on 14 January 2011 with total page 256 pages. We cannot guarantee that Entity Resolution and Information Quality book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford Entity Resolution Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical models that support Entity Resolution. In relation to this, the book briefly discusses entity-based data integration (EBDI) and its model, which serve as an extension of the Algebraic Model for Entity Resolution. There is also an explanation of how the three commercial ER systems operate and a description of the non-commercial open-source system known as OYSTER. The book concludes by discussing trends in entity resolution research and practice. Students taking IT courses and IT professionals will find this book invaluable. First authoritative reference explaining entity resolution and how to use it effectively Provides practical system design advice to help you get a competitive advantage Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

Entity Resolution and Information Quality

Entity Resolution and Information Quality
  • Author : John R. Talburt
  • Publisher : Elsevier
  • Release : 14 January 2011
GET THIS BOOK Entity Resolution and Information Quality

Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford

Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data
  • Author : John R. Talburt,Yinle Zhou
  • Publisher : Morgan Kaufmann
  • Release : 20 April 2015
GET THIS BOOK Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and

Innovative Techniques and Applications of Entity Resolution

Innovative Techniques and Applications of Entity Resolution
  • Author : Wang, Hongzhi
  • Publisher : IGI Global
  • Release : 28 February 2014
GET THIS BOOK Innovative Techniques and Applications of Entity Resolution

Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation. Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques, and applications of entity resolution. This research work provides a detailed analysis of entity resolution applied to various types of data

Data Matching

Data Matching
  • Author : Peter Christen
  • Publisher : Springer Science & Business Media
  • Release : 04 July 2012
GET THIS BOOK Data Matching

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

Information Quality and Governance for Business Intelligence

Information Quality and Governance for Business Intelligence
  • Author : Yeoh, William
  • Publisher : IGI Global
  • Release : 31 December 2013
GET THIS BOOK Information Quality and Governance for Business Intelligence

Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing

Information Quality in Information Fusion and Decision Making

Information Quality in Information Fusion and Decision Making
  • Author : Éloi Bossé,Galina L. Rogova
  • Publisher : Springer
  • Release : 02 April 2019
GET THIS BOOK Information Quality in Information Fusion and Decision Making

This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity,

Information Quality Management

Information Quality Management
  • Author : Latif Al-Hakim
  • Publisher : IGI Global
  • Release : 01 January 2007
GET THIS BOOK Information Quality Management

Technologies such as the Internet and mobile commerce bring with them ubiquitous connectivity, real-time access, and overwhelming volumes of data and information. The growth of data warehouses and communication and information technologies has increased the need for high information quality management in organizations. Information Quality Management: Theory and Applications provides solutions to information quality problems becoming increasingly prevalent.Information Quality Management: Theory and Applications provides insights and support for professionals and researchers working in the field of information and knowledge

The Four Generations of Entity Resolution

The Four Generations of Entity Resolution
  • Author : George Papadakis,Ekaterini Ioannou,Emanouil Thanos
  • Publisher : Morgan & Claypool Publishers
  • Release : 16 March 2021
GET THIS BOOK The Four Generations of Entity Resolution

Information systems are part and parcel of organizations. Yet, organizations often struggle to realize the benefits that motivate their introduction of these systems. To derive benefit from a new information system, it must be integrated into the structures and processes of the organization. That is, the system must be organizationally implemented. This book is about organizational implementation, which requires thorough preparations but also continues long after the system has gone live: (1) During the preparations, the implementation is planned. This phase

Entity Resolution for Large Scale Databases

Entity Resolution for Large Scale Databases
  • Author : Kunho Kim
  • Publisher : Unknown
  • Release : 28 July 2021
GET THIS BOOK Entity Resolution for Large Scale Databases

Entity resolution involves the problem of identifying, matching, and grouping the same entities from a single collection or multiple ones of data. Real-world databases often comprise data from multiple sources; hence, this process is an essential preprocessing step for correctly processing queries on a particular entity. An example of entity resolution is finding a person's medical records from multiple hospital records. In entity resolution, there commonly arise two main problems. One is the issue of disambiguation (or deduplication), which involves

Information Quality

Information Quality
  • Author : Ron S. Kenett,Galit Shmueli
  • Publisher : John Wiley & Sons
  • Release : 13 October 2016
GET THIS BOOK Information Quality

Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve

Foundations of Information and Knowledge Systems

Foundations of Information and Knowledge Systems
  • Author : Thomas Lukasiewicz,Attila Sali
  • Publisher : Springer
  • Release : 29 February 2012
GET THIS BOOK Foundations of Information and Knowledge Systems

This book constitutes the proceedings of the 7th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2012, held in Kiel, Germany, in March 2012. The 12 regular and 8 short papers, presented together with two invited talks in full paper-length, were carefully reviewed and selected from 53 submissions. The contributions cover foundational aspects of information and knowledge systems. These include the application of ideas, theories or methods from specific disciplines to information and knowledge systems, such as discrete mathematics, logic and algebra, model