Integrity Constraints on Rich Data Types

Lingua: inglese

Editore: Springer, 2024

3031271793 / 9783031271793

Da: Buchpark, Trebbin, GermaniaBuchpark

Venditore con 5 stelle

Venditore AbeBooks dal 30 settembre 2021

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Descrizione dell’articolo da parte del venditore

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures. The text will also discuss interesting constraints on ordering or similarity relationships contained in novel classes of data dependencies in addition to those in equality relationships, e.g., considered in functional dependencies (FDs). In addition to exploring the concepts of these data dependency notations, the book investigates the extension relationships between data dependencies, such as conditional functional dependencies (CFDs) that extend conventional functional dependencies (FDs). This forms in the book a family tree of extensions, mostly rooted in FDs, that help illuminate the expressive power of various data dependencies. Moreover, the book points to work on the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety in big data. It further outlines the applications of the extended data dependencies, in particular in data quality practice. Altogether, this book provides a comprehensive guide for readers to select proper data dependencies for their applications that have sufficient expressive power and reasonable discovery cost. Finally, the book concludes with several directions of future studies on emerging data.…

Codice articolo 42814437/1

Titolo
Integrity Constraints on Rich Data Types
Autore
Song, Shaoxu
Editore
Springer
Anno di pubblicazione
2024
Condizione
Hervorragend
Rilegatura
Brossura
Lingua
inglese
ISBN 10
3031271793
ISBN 13
9783031271793
Cataloghi dei venditori
Bücher

Buchpark

Trebbin, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 30 settembre 2021

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 105,00EUR 130,00
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