Methods and Supporting Technologies for Data Analysis
Zakrzewska, Danuta.
Methods and Supporting Technologies for Data Analysis [electronic resource] / edited by Danuta Zakrzewska, Ernestina Menasalvas, Liliana Byczkowska-Lipinska. - XII, 244 p. online resource. - Studies in Computational Intelligence, 225 1860-949X ; . - Studies in Computational Intelligence, 225 .
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.
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 get complete knowledge from big amount of data of different kinds and formats in all possible environments. Full exploitation of the knowledge hidden in huge databases is possible only if we apply efficient methods of analysis what imposes rediscovering new techniques for storage, data warehousing, querying, extracting and mining. The book explores the field by giving a coherent and comprehensive picture of the new developments in database systems. Consequently the presented approaches give an overview of the ways in which data has been stored, modelled, processed and analysed including the technical challenges for efficiency management. Special attention has been paid into applications taking into account such domains as the Web, image retrieval, education or electricity power generation. However the provided topics can be also developed and applied in many other areas , where database support and data analysis are necessary. The book introduces the reader to the new challenges of databases, and is expected to be of special interest of researchers and professionals engaged in their development.
9783642021961
10.1007/978-3-642-02196-1 doi
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Q342
006.3
Methods and Supporting Technologies for Data Analysis [electronic resource] / edited by Danuta Zakrzewska, Ernestina Menasalvas, Liliana Byczkowska-Lipinska. - XII, 244 p. online resource. - Studies in Computational Intelligence, 225 1860-949X ; . - Studies in Computational Intelligence, 225 .
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.
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 get complete knowledge from big amount of data of different kinds and formats in all possible environments. Full exploitation of the knowledge hidden in huge databases is possible only if we apply efficient methods of analysis what imposes rediscovering new techniques for storage, data warehousing, querying, extracting and mining. The book explores the field by giving a coherent and comprehensive picture of the new developments in database systems. Consequently the presented approaches give an overview of the ways in which data has been stored, modelled, processed and analysed including the technical challenges for efficiency management. Special attention has been paid into applications taking into account such domains as the Web, image retrieval, education or electricity power generation. However the provided topics can be also developed and applied in many other areas , where database support and data analysis are necessary. The book introduces the reader to the new challenges of databases, and is expected to be of special interest of researchers and professionals engaged in their development.
9783642021961
10.1007/978-3-642-02196-1 doi
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Q342
006.3