Methods and Supporting Technologies for Data Analysis

1. Front Matter

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2. Data Warehouse Technology for E-Learning

   • Marta E. Zorrilla

   Pages 1-20

3. Optimizer and Scheduling for the Community Data Warehouse Architecture

   • Rogério Luís de Carvalho Costa, Ricardo Antunes, Pedro Furtado

   Pages 21-55

4. Database Support for Automatic Web Queries Categorization

   • Ernestina Menasalvas Ruiz, Santiago Eibe Garcia

   Pages 57-70

5. Applications of Fuzzy and Rough Set Theory in Data Mining

   • Dan Li, Jitender S. Deogun

   Pages 71-113

6. Data Driven Users’ Modeling

   • Danuta Zakrzewska

   Pages 115-136

7. Frequency Domain Methods for Content-Based Image Retrieval in Multimedia Databases

   • Bartłomiej Stasiak, Mykhaylo Yatsymirskyy

   Pages 137-166

8. Query Relaxation in Cooperative Query Processing

   • Arianna D’Ulizia, Fernando Ferri, Patrizia Grifoni

   Pages 167-185

9. Ensuring Mobile Databases Interoperability in Ad Hoc Configurable Environments: A Plug-and-Play Approach

   • Angelo Brayner, José de Aguiar Moraes Filho, Maristela Holanda, Eriko Werbet, Sergio Fialho

   Pages 187-217

10. Database Architecture of Diagnostic System for Large Power Transformers

    • Liliana Byczkowska-Lipińska, Agnieszka Wosiak

    Pages 219-238

11. Back Matter

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The overwhelming pace of evolution in technology has made it possible to develop intelligent systems which help users in their dayly life activities. - cordingly, methods of recording, managing and analysing data have evolved from the very simple ?le systems into complex ambient supportive intelligent systems. This book arises as a compilation of methods, techniques and tools c- nected with data related issues: from modelling to analysis. A broad range of approaches such as database self-* techniques for ubiquitous environments, multimedia data, or data driven models will be reviewed. Di?erent areas of applications, in which data models conceptualize nowadays reality, starting from e-learning to electric transformers will be considered. The book is a collection of representative contributions to cover the sp- trum related to data bases, which support decision making and data mining methods as well as conceptualization. Datawarehouse technology and m- eling are presented in the ?rst chapter together with the deep review of datawarehouse techniques for supporting e-learning processes with special emphasis on data cubes, all the tools are considered in the context of imp- mentationofsoftwareapplication.Thesecondchaptercontinueswiththes- ilar technology and deals with the community data warehouse architecture.

• Data Analysis
• E-Learning
• Internet
• Technologie
• computational intelligence
• data mining
• database
• development
• environment
• fuzzy
• intelligence
• knowledge
• management
• modeling
• multimedia

• Institute of Computer Science, Technical University of Lodz , Lodz, Poland

  Danuta Zakrzewska, Liliana Byczkowska-Lipinska

• Facultad de Informatica, Universidad Politecnica de Madrid , Boadilla del Monte Madrid, Spain

  Ernestina Menasalvas

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