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Titlebook: Advances in Databases and Information Systems; 22nd European Confer András Benczúr,Bernhard Thalheim,Tomáš Horváth Conference proceedings 2

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/147724.jpg
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https://doi.org/10.1007/978-1-4939-2848-4 models are used. Data lakes realize the polyglot persistence model by collecting data from various sources, by storing the data in its original structure, and by providing the datasets for querying and analysis. Thus, one of the key tasks of data lakes is to provide a unified querying interface, wh
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https://doi.org/10.1007/978-1-4939-2848-4visually explore big raw data files (e.g., json, csv) generated by scientific experiments using commodity hardware and without being overwhelmed in the tedious processes of data loading, indexing and query optimization. In this work, we present our work for enabling efficient query processing on raw
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Roddy S. O’Connor,Michael C. Miloneework is uncertainty sampling usually in a pool-based sampling scenario. In this paper we propose two query strategies for image classification under the uncertainty sampling framework, both of them being improvements of existing techniques. The first strategy, so called Extended Margin incorporates
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Samuel G. Katz,Peter M. Rabinovich In this paper the evaluation of queries in the query language SPARQL on RDF data with meta-data is investigated. We first show that if the data are stratified, i.e. a particular partial order can be defined on the meta-data labels, then a nesting procedure can be applied, which induces a rewriting
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