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Titlebook: Database and Expert Systems Applications; 27th International C Sven Hartmann,Hui Ma Conference proceedings 2016 Springer International Publ

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Community Detection in Multi-relational Bibliographic Networks secondly by exploring such RCF for community detection. Experiments performed on a dataset of academic publications from the Computer Science domain enhance the effectiveness of our proposal and open promising issues.
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Analyzing Relationships of Listed Companies with Stock Prices and News Articlesor-index and pure-price. By utilizing this model, we can relax the affections of the market and sectors, and analyze the relationship between companies on the basis of their business performance by comparing their pure-prices. Experiments using a newly collected data set validated the proposed integrated model and methods.
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Robots for Material Removal Processes secondly by exploring such RCF for community detection. Experiments performed on a dataset of academic publications from the Computer Science domain enhance the effectiveness of our proposal and open promising issues.
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Studies in Systems, Decision and Controlunder MongoDB-to-RDF mappings represented in the xR2RML language, then (ii) translate the pivot query into a concrete MongoDB query. We elaborate on the discrepancy between the expressiveness of SPARQL and the MongoDB query language, and we show that we can always come up with a rewriting that shall produce all correct answers.
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Robots for Material Removal Processesels can be created in an intuitive way and can be directly evaluated on datasets. Query results serve as input for a reciprocal recommendation process that handles various similarity measures. Performance benchmarks conducted with data of a commercial outdoor platform prove the applicability to real-life tasks.
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