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Constraints and Databases

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  • © 1998

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Table of contents (8 chapters)

Keywords

About this book

Constraints and Databases contains seven contributions on the rapidly evolving research area of constraints and databases. This collection of original research articles has been compiled as a tribute to Paris C. Kanellakis, one of the pioneers in the field.
Constraints have long been used for maintaining the integrity of databases. More recently, constraint databases have emerged where databases store and manipulate data in the form of constraints. The generality of constraint databases makes them highly attractive for many applications. Constraints provide a uniform mechanism for describing heterogenous data, and advanced constraint solving methods can be used for efficient manipulation of constraint data.
The articles included in this book cover the range of topics involving constraints and databases; join algorithms, evaluation methods, applications (e.g. data mining) and implementations of constraint databases, as well as more traditional topics such as integrity constraint maintenance.
Constraints and Databases is an edited volume of original research comprising invited contributions by leading researchers.

Editors and Affiliations

  • University of Wisconsin, USA

    Raghu Ramakrishnan

  • University of Melbourne, Australia

    Peter Stuckey

Bibliographic Information

  • Book Title: Constraints and Databases

  • Editors: Raghu Ramakrishnan, Peter Stuckey

  • DOI: https://doi.org/10.1007/978-1-4615-5515-5

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1998

  • Hardcover ISBN: 978-0-7923-8045-0Published: 31 December 1997

  • Softcover ISBN: 978-1-4613-7520-3Published: 08 October 2012

  • eBook ISBN: 978-1-4615-5515-5Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: 192

  • Additional Information: Reprinted from CONSTRAINTS, 2:3-4

  • Topics: Data Structures and Information Theory, Artificial Intelligence, Operations Research/Decision Theory

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