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Titlebook: Methods and Supporting Technologies for Data Analysis; Danuta Zakrzewska,Ernestina Menasalvas,Liliana Byc Book 2009 Springer-Verlag Berlin

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書(shū)目名稱(chēng)Methods and Supporting Technologies for Data Analysis
編輯Danuta Zakrzewska,Ernestina Menasalvas,Liliana Byc
視頻videohttp://file.papertrans.cn/633/632224/632224.mp4
概述State of the art of Methods and Supporting Technologies for Data Analysis
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Methods and Supporting Technologies for Data Analysis;  Danuta Zakrzewska,Ernestina Menasalvas,Liliana Byc Book 2009 Springer-Verlag Berlin
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
關(guān)鍵詞Data Analysis; E-Learning; Internet; Technologie; computational intelligence; data mining; database; develo
版次1
doihttps://doi.org/10.1007/978-3-642-02196-1
isbn_softcover978-3-642-42496-0
isbn_ebook978-3-642-02196-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Optimizer and Scheduling for the Community Data Warehouse Architecture,the underlying database management system (DBMS), and a scheduling approach for Grid DWs, which decides in which Grid site a query should be executed.We experimentally prove that the approaches allow the community Data Warehouse to work efficiently.
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,Data Driven Users’ Modeling,both approaches, data driven models allow for grouping users and differentiating computer programs to satisfy their requirements. Application of data mining techniques enables to find behavioral patterns of users as well as indicating groups with similar features.
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Query Relaxation in Cooperative Query Processing,ver, as similarity is an important, widely used concept in the co-operative query processing since it supports the identification of objects that are close, we intend to give an extensive overview of existing similarity definitions and methodologies for evaluating it.
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Applications of Fuzzy and Rough Set Theory in Data Mining,riptive and predictive. Descriptive mining tasks aim at characterizing the general properties of the data in the databases, while predictive mining tasks perform inherence on the current data in order to make prediction in future.
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