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Titlebook: Web and Big Data; 5th International Jo Leong Hou U,Marc Spaniol,Junying Chen Conference proceedings 2021 Springer Nature Switzerland AG 202

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A Reasonable Data Pricing Mechanism for Personal Data Transactions with Privacy Concernn directly measuring the privacy information contained in a single dataset. In addition, we use the information entropy as an important index to measure the information content of data. And we conduct a set of experiments on our personal data pricing method, and the results show that our pricing method performs better than the alternatives.
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PAIRPQ: An Efficient Path Index for Regular Path Queries on Knowledge Graphsng facility. The frequent paths extracted from data graphs will be indexed to accelerate RPQs. Meanwhile, since no RPQ benchmark available, we create a micro-benchmark on synthetic and real-world data sets. The experimental results show that PAIRPQ improves the query efficiency by orders of magnitude than the state-of-the-art RDF storage engines.
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Learning an Index Advisor with Deep Reinforcement Learningur framework can recommend both single-column and multi-column indexes for the database. A set of comparative experiments with existing solutions was conducted to demonstrate the effectiveness of our proposed method.
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