Titlebook: Supply Management Research; Aktuelle Forschungse Ronald Bogaschewsky,Michael Eßig,Wolfgang Stölzle Book 2011 Gabler Verlag | Springer Fachm

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Andreas Glas,Florian C. Kleemann,Michael Eßigmatching the previous time bound while significantly reducing the space from a quadratic term to linear. This is essential to process large RNA molecules where the space is a likely to be a bottleneck. To obtain our result we introduce several novel ideas which may be of independent interest for rel

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nel with respect to the parameter “feedback edge set number”. On the contrary, we show a non-existence result concerning polynomial-size problem kernels for the combined parameter “vertex cover number and number of vertices to delete”, implying corresponding nonexistence results when replacing verte

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ack on some aspect of the integration, and the application of this feedback to revise the integration. There has been considerable research in this area over a ten year period. This paper reviews some experiences with pay-as-you-go data integration, providing a framework that can be used to compare

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Vera Schmitt,Elisabeth Fröhlichack on some aspect of the integration, and the application of this feedback to revise the integration. There has been considerable research in this area over a ten year period. This paper reviews some experiences with pay-as-you-go data integration, providing a framework that can be used to compare

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Ulrich Scholten,Robin Fischer,Dimitar Bojkov,Norman Mayack on some aspect of the integration, and the application of this feedback to revise the integration. There has been considerable research in this area over a ten year period. This paper reviews some experiences with pay-as-you-go data integration, providing a framework that can be used to compare

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Philip Beske,Stefan Seuring,Magnus Westhaus series indexes, allowing users to correctly answer queries before the indexing task is finished. We also show how our methods allow mining on datasets that would otherwise be completely untenable, including the first published experiments using one billion data series. Finally, we present our visio

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Ronald Bogaschewsky,Michael Eßig,Wolfgang StölzleAktueller Forschungsstand und die Anwendung im Management