Web Data Management: A Warehouse Approach
Author:   Sourav S. Bhowmick ,  Sanjay K. Madria ,  Wee K. Ng
Publisher:   Springer-Verlag New York Inc.
Edition:   2004 ed.
ISBN:  

9780387001753


Pages:   465
Publication Date:   07 November 2003
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Our Price $261.36 Quantity:  
Add to Cart

Share |

Web Data Management: A Warehouse Approach


Add your own review!

Overview

Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and managing Web data, and efficiently managing Web information from the database perspective. The book proposes a data model called WHOM (Warehouse Object Model) to represent HTML and XML documents in the warehouse. It defines a set of web algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. These algebraic operators are used for change detection.

Full Product Details

Author:   Sourav S. Bhowmick ,  Sanjay K. Madria ,  Wee K. Ng
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2004 ed.
Dimensions:   Width: 17.80cm , Height: 2.90cm , Length: 23.50cm
Weight:   1.045kg
ISBN:  

9780387001753


ISBN 10:   0387001751
Pages:   465
Publication Date:   07 November 2003
Audience:   Professional and scholarly ,  Adult education ,  Professional & Vocational ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

A Survey of Web Data Management Systems.- Node and Link Objects.- Predicates on Node and Link Objects.- Imposing Constraints on Hyperlink Structures.- Query Mechanism for the Web.- Schemas for Warehouse Data.- WHOM-Algebra.- Web Data Visualization.- Detecting and Representing Relevant Web Deltas.- Knowledge Discovery Using Web Bags.- The Road Ahead.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now