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Database Mining. Propositionalization for Knowledge Discovery in Relational Databases
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VDM Verlag Dr. Mueller e.K. 2008-05, 2008
ISBN 10: 3639014197
ISBN 13: 9783639014198
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PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Seller Inventory # 6666-IUK-9783639014198
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Database Mining Propositionalization for Knowledge Discovery in Relational Databases
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Database Mining : Propositionalization for Knowledge Discovery in Relational Databases
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Database Mining Propositionalization for Knowledge Discovery in Relational Databases
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Database Mining. Propositionalization for Knowledge Discovery in Relational Databases
Published by
VDM Verlag Dr. Mueller E.K., DE, 2008
ISBN 10: 3639014197
ISBN 13: 9783639014198
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Database Mining: Propositionalization for Knowledge Discovery in Relational Databases
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Database Mining : Propositionalization for Knowledge Discovery in Relational Databases
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Database Mining: Propositionalization for Knowledge Discovery in Relational Databases
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Database Mining
Published by
VDM Verlag Dr. Müller|VDM Verlag Dr. Müller e.K., 2008
ISBN 10: 3639014197
ISBN 13: 9783639014198
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Seller: moluna, Greven, Germany
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Condition: New. Propositionalization is a process that leads from relational data and background knowledge to a single-table representation thereof, which serves as the input to widespread systems for knowledge discovery in databases. Systems for propositionalization thus . Seller Inventory # 4949422
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Database Mining : Propositionalization for Knowledge Discovery in Relational Databases
Published by
VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008
ISBN 10: 3639014197
ISBN 13: 9783639014198
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Neuware - Propositionalization is a process that leads from relational data and background knowledge to a single-table representation thereof, which serves as the input to widespread systems for knowledge discovery in databases. Systems for propositionalization thus support the analyst during the usually costly phase of data preparation for data mining. We present a framework that allows for a unified description of approaches to propositionalization. Within our framework, we systematically enhance existing approaches with techniques well-known in the area of relational databases, especially the application of aggregate functions. Further, we suggest special database schema transformations for efficiency reasons. We put special emphasis on empirical investigations into the spectrum of approaches. Data set sizes vary across different orders of magnitude, up to several million data points. Also, the domains are diverse, ranging from biological data sets to financial ones, in order to demonstrate the broad applicability of propositionalization. Seller Inventory # 9783639014198