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Titlebook: Database Systems for Advanced Applications; 22nd International C Selçuk Candan,Lei Chen,Wen Hua Conference proceedings 2017 Springer Intern

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Research Synthesis in Software Engineeringata stores is a popular solution. And bulk loading of secondary index is inevitable when a new application is developed on an existing LSM data stores. However, to the best of our knowledge there are few studies on research of bulk loading of secondary index in distributed LSM-tree. In this paper, w
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https://doi.org/10.1007/978-3-319-42598-6 next queries. Thus, data used in the previous queries are often reused, at least in part, in the next queries. This fact may be used to accelerate queries with data partitioning, a widely used technique that enables skipping the irrelevant data for better I/O performance. For getting effective part
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Catrien Notermans,Maya Turolla,Willy Jansenant task in the network analysis area. Most existing embedding methods focus on encoding the topology information into the representation vectors. In reality, nodes in the network may contain rich properties, which could potentially contribute to learn better representations. In this paper, we study
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Entrepreneurship and Hybrid Self-Employment full length time series. However, for long time series, similarity search on arbitrary time windows is more attractive and important. In this paper, we address the problem of window-based KNN search of time series data on HBase. Based on PAA approximation, we propose a composite index structure com
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Marcus Box,Xiang Lin,Karl Gratzer human behaviors. In this paper, we aim to understand historical trajectory data for discovering outlier trajectories of taxis. An outlier trajectory is a trajectory grossly different from others, meaning there are few or even no trajectories following a similar route in a dataset. To identify outli
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