Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N

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Efficient Aggregation Query Processing for Large-Scale Multidimensional Data by Combining RDB and KVologies have led to the generation of a large amount of multidimensional data, such as sensor data. Aggregation queries play an important role in analyzing such data. Although relational databases (RDBs) support efficient aggregation queries with indexes that enable faster query processing, increasi

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Learning Interpretable Entity Representation in Linked Dataing representations of entities is required for various applications such as information retrieval and data mining. Entity representations can be roughly classified into two categories; (1) interpretable representations, and (2) latent representations. Interpretability of learned representations is

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GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristicss. Several . tasks, e.g., ranking, clustering, or link discovery, require for determining the relatedness between knowledge graph entities. However, state-of-the-art similarity measures may not consider all the characteristics of an entity to determine entity relatedness. We address the problem of s

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Knowledge Graphs for Semantically Integrating Cyber-Physical Systemserent engineering perspectives (e.g., mechanical, electrical, and software). Standards related to Smart Manufacturing (e.g., AutomationML) are used to describe CPS components, as well as to facilitate their integration. Albeit expressive, smart manufacturing standards allow for the representation of

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Answering Top-k Queries over Outsourced Sensitive Data in the Cloud the outsourced data is not guaranteed by the cloud providers. One solution for protecting the user data is to encrypt it before sending to the cloud. Then, the main problem is to evaluate user queries over the encrypted data..In this paper, we consider the problem of answering top-k queries over en

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263465.jpg

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https://doi.org/10.1007/978-3-319-98809-2big data analytics; cloud data; clustering algorithms; computer networks; data mining; data privacy; datab

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