Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions

Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions

Pedro Nuno San-Banto Furtado (University of Coimbra, Portugal)
Indexed In: SCOPUS
Release Date: September, 2009|Copyright: © 2010 |Pages: 364
DOI: 10.4018/978-1-60566-816-1
ISBN13: 9781605668161|ISBN10: 1605668168|EISBN13: 9781605668178
Hardcover:
Available
$162.00
List Price: $180.00
10% Discount:-$18.00
TOTAL SAVINGS: $18.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
(Multi-User License)
Available
$162.00
List Price: $180.00
10% Discount:-$18.00
TOTAL SAVINGS: $18.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Hardcover +
E-Book:
(Multi-User License)
Available
$193.50
List Price: $215.00
10% Discount:-$21.50
TOTAL SAVINGS: $21.50
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
OnDemand:
(Individual Chapters)
Available
$33.75
List Price: $37.50
10% Discount:-$3.75
TOTAL SAVINGS: $3.75
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
Description:

Data warehousing and mining technologies are key assets today in many areas of human knowledge, from scientific to commercial and industrial settings, and the last decades have seen tremendous advances in those fields.

Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions provides insight into the latest findings concerning data warehousing, data mining, and their applications in everyday human activities. Comprising a valuable resource for researchers, practitioners, and academicians, this advanced publication offers insight into recent field trends, techniques on how these technologies operate, and analysis of their effects.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Data stream management
  • Data warehouse architectures
  • Data warehousing and mining
  • Expressive power modeling
  • Foundation issues in data warehousing
  • Novel trends in clustering
  • Risk Assessment
  • Sensor stream application domains
  • Social bookmarking systems
  • View management techniques
Reviews & Statements

This book serves as a reference for advanced courses on data warehousing and mining, since it discusses state-of-the-art and advances in various relevant issues of the technologies and of their application to real-world problems.

– Pedro Furtado, University of Coimbra, Portugal
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Pedro Furtado works as assistant professor of computer sciences at the University of Coimbra, where he teaches both undergraduate and postgraduate curricula, mostly in data management related areas. He is also an active researcher in the Systems and Software Engineering Group of the CISUC research laboratory. His research interests include data warehousing and mining, parallel and distributed database systems, with a focus on performance and scalability and data management in distributed data intensive systems. He received a PhD in computer science from the University of Coimbra (Portugal, 2000). He has a large number of research papers published in international journals, book chapters, and international conference proceedings, mostly in the subjects of parallel and distributed data warehousing. In his professional activities he also has had experiences with consultancy and in leading national research projects, as well as participating in European projects in the areas of parallel data management, quality of service in distributed systems, and wireless sensor networks. He also has a large experience with reviewing, having served on editorial boards of books and journals, as well as on program committees of international conferences.
Abstracting & Indexing
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.