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Titlebook: Advances in Databases and Information Systems; 20th East European C Jaroslav Pokorný,Mirjana Ivanović,Petr Šaloun Conference proceedings 20

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Algorithms for Simple Cell Mappings, leads to processing many very similar queries by the system. In this paper, we analyze performance of two representatives of metric indexing structures and propose a novel concept of reordering search queue that optimizes access to data partitions for repetitive queries. This concept is verified in numerous experiments on real-life image dataset.
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Intercellular Communication in Embryos,tance calculation overhead: (1) locality sensitive hashing to approximate and speed up distance calculations and (2) representative point selection to reduce the number of distance calculations. Our experiments show that our approach is in general one order of magnitude faster (at most 30x in our experiments) than the state of the art.
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Cell State Space and Simple Cell Mapping,ings and transformations are declared in ATL. This avails of a common, and logic-based, metamodel to aid verification of the links. This is currently being implemented as proof-of-concept in the ICOM tool.
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A Theory of Index for Cell Functions,TRPQ queries, and a basic method as a comparison method. In two proposed algorithms, PRA gives an accurate safe-region, and TRA gives an approximate safe-region very fast. We evaluate the efficiency of the proposed methods experimentally comparing to the basic method for TRPQ query.
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Alexandra T. Patterson,Mark P. Styczynski We thus advocate for the development of more holistic, clustering-based data integration approaches that scale to many data sources. We outline different use cases and provide an overview of initial approaches for holistic schema/ontology integration and entity clustering. The discussion also consi
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