Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions: 9781605668161: Computer Science & IT Books

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781605668161

EISBN13: 9781605668178

DOI: 10.4018/978-1-60566-816-1

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

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Reviews

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

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.

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