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.
Table of ContentsData Warehouse Technology for E-Learning.- Optimizer and Scheduling for the Community Data Warehouse Architecture.- Database Support for Automatic Web Queries Categorization.- Applications of Fuzzy and Rough Set Theory in Data Mining.- Data Driven Users’ Modeling.- Frequency Domain Methods for Content-Based Image Retrieval in Multimedia Databases.- Query Relaxation in Cooperative Query Processing.- Ensuring Mobile Databases Interoperability in Ad Hoc Configurable Environments: A Plug-and-Play Approach.- Database Architecture of Diagnostic System for Large Power Transformers.