0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

Data Integration - The Relational Logic Approach (Paperback) Loot Price: R1,076
Discovery Miles 10 760
Data Integration - The Relational Logic Approach (Paperback): Michael Genesereth

Data Integration - The Relational Logic Approach (Paperback)

Michael Genesereth

Series: Synthesis Lectures on Artificial Intelligence and Machine Learning

 (sign in to rate)
Loot Price R1,076 Discovery Miles 10 760 | Repayment Terms: R101 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes. The goal of data integration is to provide programmatic and human users with integrated access to multiple, heterogeneous data sources, giving each user the illusion of a single, homogeneous database designed for his or her specific need. The good news is that, in many cases, the data integration process can be automated. This book is an introduction to the problem of data integration and a rigorous account of one of the leading approaches to solving this problem, viz., the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way. In many respects, relational logic does for data integration what relational algebra did for database theory several decades ago. A companion web site provides interactive demonstrations of the algorithms. Table of Contents: Preface / Interactive Edition / Introduction / Basic Concepts / Query Folding / Query Planning / Master Schema Management / Appendix / References / Index / Author Biography Don't have access? Recommend our Synthesis Digital Library to your library or purchase a personal subscription. Email [email protected] for details.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning
Release date: March 2010
First published: 2010
Authors: Michael Genesereth
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 97
ISBN-13: 978-3-03-100422-3
Languages: English
Subtitles: English
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 3-03-100422-1
Barcode: 9783031004223

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners