Titlebook: Database and Expert Systems Applications; 28th International C Djamal Benslimane,Ernesto Damiani,Roland R. Wagner Conference proceedings 20

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https://doi.org/10.1007/978-3-319-43181-9d Transformation enables us to derive a set of similarity measures on the basis of existing ones that have close-form expression. Extensive experiments demonstrate the effectiveness of proposed technique for Gaussian component-based indexing and the performance of the novel similarity measures for clustering and classification.

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Generating ,-Anonymous Microdata by Fuzzy Possibilistic Clusteringymization process is a compelling task to achieve. This paper aims to deal with such challenge. Doing so, we propose a microaggregation algorithm called ., based on fuzzy possibilitic clustering. The main thrust of this algorithm stands in applying an hybrid anonymization process.

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Past Indeterminacy in Data Warehouse Designbase schema into a historical schema allowing data evolution and traceability, including past and future indeterminacy. The primary aim of this work is to help data warehouse designers to model historicized schema based on a sound theory ensuring a sound temporal semantic, data integrity and query expressiveness.

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A Case for Term Weighting Using a Dictionary on GPUsds are converted into identifiers (IDs) with this dictionary, costly string comparisons could be avoided. Our experimental results revealed that the proposed method of term weighting on GPUs performed up?to 5. faster than the MapReduce-based one on multi-core CPUs.

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Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Modelsd Transformation enables us to derive a set of similarity measures on the basis of existing ones that have close-form expression. Extensive experiments demonstrate the effectiveness of proposed technique for Gaussian component-based indexing and the performance of the novel similarity measures for clustering and classification.

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