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  • Entity Resolution and Information Quality

    Entity Resolution and Information Quality by Talburt, John R.;

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      • Publisher's listprice EUR 46.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        18 338 Ft (17 465 Ft + 5% VAT)
      • Discount 10% (cc. 1 834 Ft off)
      • Discounted price 16 504 Ft (15 719 Ft + 5% VAT)

    18 338 Ft

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    Product details:

    • Publisher Elsevier Science
    • Date of Publication 14 January 2011

    • ISBN 9780123819727
    • Binding Paperback
    • No. of pages256 pages
    • Size 234x190 mm
    • Weight 530 g
    • Language English
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    Long description:

    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.

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    Table of Contents:

    Chapter 1 Principles of Entity ResolutionChapter 2 Principles of Information Quality Chapter 3 Entity Resolution Models Chapter 4 Entity-Based Data Integration Chapter 5 Entity Resolution SystemsChapter 6 The OYSTER ProjectChapter 7 Trends in Entity Resolution Research and Applications

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