0 Item

Deductive Databases and Their Applications - Robert Colomb

Instant online reading.
Don't wait for delivery!
Go digital and save!

Deductive Databases and Their Applications

By: Robert Colomb (Editor)

Write A Review

Paperback | 23 February 1998 | Edition Number 1

At a Glance

Paperback
276 Pages

Dimensions(cm)
23.4 x 15.6 x 1.27

Paperback

$237.90

or 4 interest-free payments of $59.48 with

Aims to ship in 15 to 25 business days

When will this arrive by?
Enter delivery postcode to estimate

Deductive Databases and their Applications is an introductory text aimed at undergraduate students with some knowledge of database and information systems. The text comes complete with exercises and solutions to encourage students to tackle problems practically as well as theoretically. The author presents the origins of deductive databases in Prologue before proceeding to analyse the main deductive database paradigm - the data-log model. The final chapters are dedicated to closely related topics such as prepositional expert systems, integrity constraint specification and evaluation, and update propagation. Particular attention is paid to CASE tool repositories.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems Databases

Introduction
Summary of Prolog
Prolog and Databases
Datalog and Bottom-up Evaluation
Knowledge Design
Building and Knowledge Base
Knowledge Quality
Magic Sets
Unfolding and Folding
Propositional Deductive Databases
Integrity Constraints
Non-monotonic Reasoning
Table of Contents provided by Publisher. All Rights Reserved.

Deductive Databases and Their Applications

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Databases

SPSS Survival Manual

7th Edition - A step by step guide to data analysis using IBM SPSS

Designing Data-Intensive Applications

Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Python All-in-One For Dummies

3rd Edition

The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

Intelligent Data Analytics, IoT, and Blockchain

The Art of Explanation

How to Communicate with Clarity and Confidence

Deep Learning for Coders with fastai and PyTorch

AI Applications Without a PhD

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Microsoft 365 Access For Dummies

Deciphering Data Architectures

Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Data Science from Scratch

First Principles with Python

Hands-On Programming with R

Write Your Own Functions and Simulations

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Don't Make Me Think, Revisited

A Common Sense Approach to Web Usability

SQL Cookbook

Query Solutions and Techniques for All SQL Users 2nd Edition

Python for Data Analysis 3e

Data Wrangling with pandas, NumPy, and Jupyter

Data Engineering Design Patterns

Recipes for Solving the Most Common Data Engineering Problems

Web Scraping with Python

3rd Edition - Data Extraction from the Modern Web

Fundamentals of Database Systems, Global Edition

7th edition

Social Research Methods

4th Edition

Practical Statistics for Data Scientists

50+ Essential Concepts Using R and Python

Database Internals

A Deep-Dive Into How Distributed Data Systems Work

Deep Learning from Scratch

Building with Python from First Principles

Fundamentals of Data Engineering

Plan and Build Robust Data Systems

This product is categorised by