New trends in data warehousing and data analysis / editors, Stanislaw Kozielski, Robert Wrembel.
"Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are...
I tiakina i:
Ētahi atu kaituhi: | , |
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Hōputu: | iPukapuka |
Reo: | English |
I whakaputaina: |
[New York] :
Springer,
[2009]
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Rangatū: | Annals of information systems ;
v. 3. |
Ngā marau: | |
Urunga tuihono: | Click here to view this book Springer eBooks Table of contents Publisher description |
Whakarāpopototanga: | "Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging.New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP."--Publisher's website. |
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Whakaahuatanga ōkiko: | 1 online resource (xvii, 345 pages) : illustrations. |
Rārangi puna kōrero: | Includes bibliographical references. |
ISBN: | 0387874313 9780387874319 |
ISSN: | 1934-3221 ; |