Methods and Supporting Technologies for Data Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zakrzewska, Danuta. (Editor), Menasalvas, Ernestina. (Editor), Byczkowska-Lipinska, Liliana. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 225
• Subjects: Engineering.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-02196-1

Together with the development of information technologies the requirements for data analysis tools have grown significantly. Due to such recent advances, as ubiquitous computing or the Internet of things, data modeling, management and processing become more and more challenging tasks. Users want to...

Table of Contents:

• DataWarehouse 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.