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Evolving Application Domains of Data Warehousing
and Mining: Trends and Solutions
A book edited by Dr. Pedro Furtado
University of Coimbra, Portugal
Introduction
Data Warehousing and Data Mining are strategic technologies in most competitive industries.
They are applied in most fields of human activity, from commercial to scientific or industrial
areas, and for decision support, trend analysis and pattern discovery. These technologies have
led to the development of new solutions and approaches. Some of these solutions have being incorporated
into commercial tools and systems, while others have produced new advancement opportunities in many fields
of human knowledge. Given this evolution, it is very important to understand both the theoretical and practical
aspects of those technologies, solutions and applications to various fields of human knowledge.
The proposed collection of articles presents foundations, trends and solutions concerning data warehousing
and data mining technologies, and how these technologies operate and have a positive effect on areas of human
activity and knowledge.
Objective of the Book
This book will provide the necessary insight into both foundation issues and the latest findings
concerning data warehousing, data mining and their application in human activities. These
technologies have been hot topics for the past two decades and they share a common goal
of enabling data analysis and pattern discovery in different application areas. Now that these
fields and their applications are more mature, there is a clear advantage on putting together a
collection of chapters that will present not only foundations, but also solutions and applications
and an integrated view of both technologies.
Target Audience
The book will be a valuable resource for both professionals and researchers, from computer
sciences and other fields, who need to gain knowledge of models, strategies, solutions,
applications and findings in the field. It will be useful to those wishing to gain background
knowledge, those searching for specific solutions, and for those searching for the latest
solutions, results and applications. By bringing together the two related fields and by focusing
also on their integration and applications, the book fills a gap in the information technology
literature and is also suitable as bibliography for courses on the subject.
Recommended topics include, but not limited to:
Data Warehousing and OLAP
+ Foundations and architectures
+ Design for applications
+ ETL
+ OLAP
+ Cubes, materialized views
+ Query processing and optimization
+ Physical organization and performance
Data Mining
+ Foundations and algorithms
+ Association rules mining, sequence and time series mining
+ Top-K and gradient mining
+ Classification and ranking
+ Clustering
+ Statistical methods
+ Mining text, web and semi-structured data
+ Temporal, spatial and multimedia mining
+ Mining data streams
+ Graph mining, social networks
+ Soft computing
Issues and Applications
+ Integrating OLAP and data mining for applications
+ Combining OLAP and data mining for complex data analysis
+ Multidimensional mining
+ Cubing, iceberg cubing, cube compression, mining over cubes
+ Storage, structures, indexes, intermediate structures and processes for Scalable Mining
+ Extraction, transformation, cleaning, reduction, loading and data quality issues
+ Methodological and non-functional features (data quality, performance, robustness,
scalability, security, privacy, parallel and distributed approaches)
+ Application domains: biomedical, healthcare, finance and marketing, telecom, mobility, etc.
+ Trends and solutions for application domains
Important Dates
Proposal submission (2-3 pages): June 15, 2008
Proposal notification: July 15, 2008
Chapter submission: October 31, 2008
Submission Procedure
Researchers and practitioners are invited to submit on or before June 15, 2008, a 2-3 page chapter
proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of
accepted proposals will be notified by July 15, 2008 about the status of their proposals and sent
chapter guidelines. Full chapters are expected to be submitted by October 31, 2008. All
submitted chapters will be reviewed on a double-blind review basis. This book is scheduled to
be published by IGI Global (formerly Idea Group Inc.), publisher of the Information Science
Reference (formerly Idea Group Reference) and Medical Information Science Reference imprints.
For additional information regarding the publisher, please visit www.igi-global.com.
Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Dr. Pedro Furtado
Department of Information Engineering (DEI)
UNIVERSITY OF COIMBRA - Polo II
3030-290 Coimbra
Portugal
Tel: +351 239 790 000
Fax: +351 239 701 266
E-mail: pnf@dei.uc.pt