CALL FOR CHAPTER PROPOSALS

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Chapter Submission Deadline: October 31, 2008

 

Evolving Application Domains of Data

Warehousing and Mining: Trends and Solutions

 

A book edited by Dr. Pedro Furtado

University of Coimbra, Portugal

 

Introduction

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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

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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

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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:

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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

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Chapter submission: October 31, 2008

Submission Procedure

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Authors of accepted proposals are expected to submit full chapters 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