Methods and Supporting Technologies for Data Analysis

Released on by Danuta Zakrzewska
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  • Methods and Supporting Technologies for Data Analysis Book Detail

  • Author : Danuta Zakrzewska
  • Release Date : 2009-06-30
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 253
  • ISBN 13 : 3642021956
  • File Size : 39,39 MB
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Methods and Supporting Technologies for Data Analysis by Danuta Zakrzewska PDF Summary

Book Description: 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.

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Advances in Data Science and Analytics

Advances in Data Science and Analytics

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ADVANCES in DATA SCIENCE and ANALYTICS Presenting the concepts and advances of data science and analytics, this volume, written and edited by a global team of e