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Benchmarking a distributed database design that supports ...
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由 JM Schäfer 著作2020被引用 2 次 — In this article we present the implementation and benchmarking of a medical information system on top of a distributed relational database system.
Benchmarking a Distributed Database Design that ...
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由 JM Schäfer 著作2020被引用 2 次 — ABSTRACT. In this article we present the implementation and benchmarking of a medical information system on top of a distributed relational.
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Benchmarking a distributed database design that supports patient ...
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In this article we present the implementation and benchmarking of a medical information system on top of a distributed relational database system.
Benchmarking a distributed database design that supports ...
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DWAHP [19] is the relational technique partitions the data using workload aware approach using n-hops property reachability matrix.
Benchmarking a Distributed Database Design that ...
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由 JM Schäfer 著作2020被引用 2 次 — ABSTRACT. In this article we present the implementation and benchmarking of a medical information system on top of a distributed relational.
Benchmarking a distributed database design that supports ...
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Benchmarking a distributed database design that supports patient cohort identification ... patient similarity analysis for personalized medical decision support ...
Dr. Lena Wiese | GRO.publications
Georg-August Universität Göttingen
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Georg-August Universität Göttingen
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Schäfer JM, Sax U, Wiese L. Benchmarking a distributed database design that supports patient cohort identification. IDEAS 2020: 24th International ...
distributed database design Latest Research Papers
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Distributed Database Design ◽. Allocation Approach · Download Full-text · Benchmarking a distributed database design that supports patient cohort ...
IDEAS 2020: 24th International Database Engineering & ...
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Table of Contents · Benchmarking a distributed database design that supports patient cohort identificationJero Mario Schäfer, Ulrich Sax, Lena Wiese.
[PDF] Big Data Technologies for DNA Sequencing
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This chapter provides an overview of the big data challenges in the area of DNA sequencing and discusses several data management solutions.