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Titlebook: Database Systems for Advanced Applications; DASFAA 2009 Internat Lei Chen,Chengfei Liu,Ke Deng Conference proceedings 2009 Springer-Verlag

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Probabilistic Ranking in Uncertain Vector Spacesailed experimental evaluation, we demonstrate the benefits of this approach compared to several competitors. The experiments show that, in addition to the gain of efficiency, we can achieve convenient query results of high quality.
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0302-9743 ata Analysis (PPDA 2009) – FirstInternationalWorkshoponMobileBusinessCollaboration(MBC2009) – DASFAA 2009 PhD Workshop All the workshops were selected via a pub978-3-642-04204-1978-3-642-04205-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Tuna: Socialising Music Sharing on the Movehes, while benchmarking is often neglected. Therefore, the aim of BenchmarX was and is to bring the benchmarking research community together and to provide an opportunity to deal with this topic more thoroughly.
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Computer Supported Cooperative Workbsets of varying size and shape, if the data is real. Application level evaluation emphasizes the representativeness of the data set ad workload in terms of typical applications while micro-level evaluation focuses on elementary and individual technical features..The dual view of XML, data view and
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Illusions of Sovereignty and Choice the DataGuide summary tree. The path labeling schemes have better update features and our article shows that the utilization of a path labeling scheme can have comparable or even better query processing parameters compared to other element labeling scheme approaches.
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Consumption and Theories of Practiceld significantly vary depending on the type of data processed. XMLBench project was started to provide comprehensive comparison of available XML toolkits in their functionality and ability to sustain required performance. The main target was fast C and C++ libraries able to work on multiple platform
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Methodological Procedures and Techniquestored procedure in a relational database as part of a scientific workflow. We show how this approach can be implemented in a state-of-the-art DBMS and discuss how the captured provenance data can be efficiently queried and analyzed.
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