Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction (Advances in Data Warehousing and Mining (Adwm))

✍ Scribed by Ladjel Bellatreche

Publisher: Information Science Reference
Year: 2009
Tongue: English
Leaves: 337
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advanced title provides significant industry solutions for those involved in this distinct research community.

✦ Table of Contents

Title
......Page 2
Editorial Advisory Board......Page 5
Table of Contents......Page 6
Detailed Table of Contents......Page 9
Preface......Page 14
Section 1
Conceptual Design and
Ontology-Based Integration......Page 19
From User Requirements
to Conceptual Design in
Data Warehouse Design......Page 20
Data Extraction, Transformation
and Integration Guided
by an Ontology......Page 36
X-WACoDa......Page 57
Designing Data Marts from XML
and Relational Data Sources......Page 74
Ontology-Based Integration
of Heterogeneous, Incomplete
and Imprecise Data Dedicated
to a Decision Support
System for Food Safety......Page 100
On Modeling and Analysis
of Multidimensional
Geographic Databases......Page 115
Section 2
Physical Design and
Self Turning......Page 132
View Selection and
Materialization......Page 133
ChunkSim......Page 150
QoS-Oriented Grid-Enabled
Data Warehouses......Page 169
Section 3
Evolution and Maintainance
Management......Page 189
Data Warehouse Maintenance,
Evolution and Versioning......Page 190
Construction and Maintenance
of Heterogeneous
Data Warehouses......Page 208
Section 4
Exploitation of Data Warehouse......Page 224
On Querying Data and
Metadata in Multiversion
Data Warehouse......Page 225
Ontology Query Languages for
Ontology-Based Databases......Page 246
Ontology-Based
Database Approach for
Handling Preferences......Page 267
Security in Data Warehouses......Page 291
Compilation of References......Page 299
About the Contributors......Page 325
Index......Page 334

📜 SIMILAR VOLUMES

Complex Data Warehousing and Knowledge D

📁 Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications (Advances in Data Warehousing and Mining (Adwm) Book Series)

✍ Tho Manh Nguyen 📂 Library 🌐 English

Data Mining and Knowledge Discovery Tech

📁 Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)

✍ David Taniar 📂 Library 📅 2008 🌐 English

As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the

Data Warehousing and Data Mining Techniq

📁 Data Warehousing and Data Mining Techniques for Cyber Security (Advances in Information Security)

✍ Anoop Singhal 📂 Library 📅 2006 🌐 English

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single

Data Warehousing and Data Mining for Tel

📁 Data Warehousing and Data Mining for Telecommunications

✍ Rob Mattison 📂 Library 📅 1997 🏛 Artech House Publishers 🌐 English

..first comprehensive guide to provide practical, step-by- step directions for designing and delivering data- warehousing and mining applications in a telecommunications environment.

Data Mining and Data Warehousing

📁 Data Mining and Data Warehousing

✍ S.K. Mourya; Shalu Gupta 📂 Library 📅 2012 🏛 Alpha Science International 🌐 English

Data mining (if you haven’t heard of it before), is the “Automated Extraction of Hidden Predictive Information from Databases.” This book discusses in a step by step approach instructions for the entire data modeling process, with special emphasis on the business knowledge necessary for effective re

Data mining and warehousing

📁 Data mining and warehousing

✍ S. Prabhu, N. Venatesan 📂 Library 📅 2007 🏛 New Age International (P) Ltd., Publishers 🌐 English