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Data Warehousing and Knowledge Discovery 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings /

Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be incl...

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Corporate Author: SpringerLink (Online service)
Other Authors: Song, Il Yeol. (Editor, http://id.loc.gov/vocabulary/relators/edt), Eder, Johann. (Editor, http://id.loc.gov/vocabulary/relators/edt), Nguyen, Tho Manh. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Information Systems and Applications, incl. Internet/Web, and HCI ; 4654
Subjects:
Data structures (Computer science).
Database management.
Data mining.
Application software.
Computer communication systems.
Artificial intelligence.
Data Structures and Information Theory.
Database Management.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Computer Communication Networks.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-540-74553-2

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https://doi.org/10.1007/978-3-540-74553-2

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