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Liliana Byczkowska-Lipinska, Liliana Byczkowska- Lipinska, Ernestina Menasalvas, Danuta Zakrzewska (Beteiligte)

Methods and Supporting Technologies for Data Analysis


Herausgegeben von Zakrzewska, Danuta; Menasalvas, Ernestina; Byczkowska-Lipinska, Liliana
2009. 2014. xii, 244 S. 18 Tabellen. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER BERLIN HEIDELBERG 2014
ISBN: 3-642-42496-1 (3642424961)
Neue ISBN: 978-3-642-42496-0 (9783642424960)

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This book gives a coherent and comprehensive picture of the new developments in database systems. It offers an overview of the ways in which data has been stored, modeled, processed and analyzed, including the technical challenges for efficiency management.
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 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.