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E-book
Author Christen, Peter

Title Data matching : concepts and techniques for record linkage, entity resolution, and duplicate detection / Peter Christen
Published Berlin ; New York : Springer, ©2012

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Description 1 online resource
Series Data-centric systems and applications
Data-centric systems and applications
Contents Part 1. THE EMERGENCE OF THE HORIZON -- Indexicality as a Phenomenological Problem -- James and Husserl: The Horizon as a Psychological and a Philosophical Theme -- The World-Horizon in Ideas I -- The Structures of Horizon-Consciousness in Ideas I -- Introduction -- Part 2. THE HORIZONS OF TRANSCENDENTAL SUBJECTIVITY -- The Static and Genetic Determinations of the Horizon -- The Reduction as the Disclosure of the Horizons of Transcendental Subjectivity -- The Horizon and the Origins of Sense-Formation -- Husserl's Notion of the Primal Ego in Light of the Hermeneutical Critique -- Part 3. THE WORLD-HORIZON AS THE WHEREFROM, WHEREIN, AND THE WHERETO OF EXPERIENCE -- The World-Horizon as the Wherefrom of Experience -- The World-Horizon as the Wherein of Experience -- The World-Horizon as the Whereto of Experience -- Conclusion
Part 1. Overview -- Introduction -- The Data Matching Process-- Part 2. Steps of the DataMatching Process -- Data Pre-Processing -- Indexing -- Field and Record Comparison -- Classification -- Evaluation of Matching Quality and Complexity-- Part 3. Further Topics -- Privacy Aspects of Data Matching -- Further Topics and Research Directions -- Data Matching Systems
Summary 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
Bibliography Includes bibliographical references and index
Notes English
Subject Database management.
Information retrieval.
Data mining.
Statistical matching.
Information Storage and Retrieval
Data Mining
information retrieval.
COMPUTERS -- Database Management -- General.
COMPUTERS -- Desktop Applications -- Databases.
COMPUTERS -- System Administration -- Storage & Retrieval.
Informatique.
Data mining
Database management
Information retrieval
Statistical matching
Form Electronic book
LC no. 2012942028
ISBN 9783642311642
3642311644
3642430015
9783642430015