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TiTLE : New Trends in Data Warehousing and Data Analysis (Annals
of Information Systems)
AUTHOR : Stanislaw Kozielski , Robert Wrembel
PUBLISHER : Springer
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iSBN : 0387874305 MAKER : Team DDU
PAGES : 364 Pages PACKAGER : Team DDU
EDiTiON : November 21, 2008 SUPPLiER : Team DDU
LANGUAGE : ENGLISH FORMAT : PDF
RLS DATE : 05/08/2009 SiZE : 31.5 MB
RELEASE NOTES
[Product Information]
Most of modern enterprises, institutions, and organizations rely on
knowledge-based management systems. In these systems, knowledge is
gained from data analysis. Nowadays, knowledge-based management
systems include data warehouses as their core components. The
purpose of building a data warehouse is twofold. Firstly, to
integrate multiple heterogeneous, autonomous, and distributed data
sources within an enterprise. Secondly, to provide a platform for
advanced, complex, and efficient data analysis. Data integrated in
a data warehouse are analyzed by the so-called On-Line Analytical
Processing (OLAP) applications designed among others for
discovering trends, patterns of behavior, and anomalies as well as
for finding dependencies between data. Massive amounts of
integrated data and the complexity of integrated data that more and
more often come from WEB-based, XML-based, spatio-temporal, object,
and multimedia systems, make data integration and processing
challenging.
The objective of NEW TRENDS IN DATA WAREHOUSING AND DATA ANALYSIS
is fourfold: First, to bring together the most recent research and
practical achievements in the DW and OLAP technologies. Second, to
open and discuss new, just emerging areas of further development.
Third, to provide the up-to-date bibliography of published works
and the resource of research achievements for anyone interested in
up-to-date data warehouse issues. And, finally, to assist in the
dissemination of knowledge in the field of advanced DW and OLAP.
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http://www.amazon.com/exec/obidos/tg/detail/-/0387874305/
