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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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Hierarchically Clustered LSH for Hierarchical Outliers Detection novel framework that permits us to detect hierarchical outliers in a consistent manner, providing a desired monotonicity property, which implies that a data observation that finds enough support so as to be disregarded as an outlier at a level of the hierarchy, will not be labelled as an outlier wh
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“Overloaded!” — A Model-Based Approach to Database Stress Testingand velocity applications. Although the development agenda goes at full pace, the current testing agenda does not keep up, especially to validate non-functional requirements, such as: performance and scalability. The testing approaches strongly rely on the combination of unit testing tools and bench
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Conference proceedings 2016NoSQL, NewSQL; Multimedia Data; Personal Information Management; Semantic Web and Ontologies; Database and Information System Architectures; Query Answering and Optimization; Information Retrieval, and Keyword Search; Data Modelling, and Uncertainty..
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Controlling in mittelständischen Unternehmenividual items. The . is used as an interestingness measure to filter out uninteresting patterns in . dimension. In addition, a new interestingness measure, called ., is being proposed to filter out uninteresting patterns in . dimension. We have proposed a model by combining both measures and propose
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https://doi.org/10.1007/978-3-663-14815-9d the . of HUIs in the MIU-tree are proposed. Moreover, a vertical compact utility-list structure is adopted to store the information required for discovering HUIs without performing additional database scans and generating candidates. An extensive experimental study on real-world and synthetic data
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