| 书目名称 | Methods and Supporting Technologies for Data Analysis |
| 编辑 | Danuta Zakrzewska,Ernestina Menasalvas,Liliana Byc |
| 视频video | |
| 概述 | State of the art of Methods and Supporting Technologies for Data Analysis |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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- mentationofs |
| 出版日期 | Book 2009 |
| 关键词 | Data Analysis; E-Learning; Internet; Technologie; computational intelligence; data mining; database; develo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-02196-1 |
| isbn_softcover | 978-3-642-42496-0 |
| isbn_ebook | 978-3-642-02196-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 17:32:46
