Overview
- Editors:
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Danuta Zakrzewska
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Institute of Computer Science, Technical University of Lodz , Lodz, Poland
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Ernestina Menasalvas
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Facultad de Informatica, Universidad Politecnica de Madrid , Boadilla del Monte Madrid, Spain
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Liliana Byczkowska-Lipinska
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Institute of Computer Science, Technical University of Lodz , Lodz, Poland
- State of the art of Methods and Supporting Technologies for Data Analysis
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Table of contents (9 chapters)
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- Rogério LuÃs de Carvalho Costa, Ricardo Antunes, Pedro Furtado
Pages 21-55
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- Ernestina Menasalvas Ruiz, Santiago Eibe Garcia
Pages 57-70
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- Dan Li, Jitender S. Deogun
Pages 71-113
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- Bartłomiej Stasiak, Mykhaylo Yatsymirskyy
Pages 137-166
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- Arianna D’Ulizia, Fernando Ferri, Patrizia Grifoni
Pages 167-185
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- Angelo Brayner, José de Aguiar Moraes Filho, Maristela Holanda, Eriko Werbet, Sergio Fialho
Pages 187-217
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- Liliana Byczkowska-Lipińska, Agnieszka Wosiak
Pages 219-238
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About this book
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.
