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Titlebook: Data Management Technologies and Applications; 8th International Co Slimane Hammoudi,Christoph Quix,Jorge Bernardino Conference proceedings

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Charles W. Finkl,Christopher Makowskiart manufacturing environment, machine learning techniques are deployed to identify patterns in live data by creating models using historical data. These models will then predict previously undetectable incidents. This paper initially performs a descriptive statistics and visualization, subsequently
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Mangrove Degradation in the Sundarbans and “a-number billing” while keeping service quality above a certain threshold. The steering decision is made considering the origin and destination of the call, total volume requirement of bilateral agreements, quality threshold and price quote of partner operators. We develop an optimization mode
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Río Plátano Biosphere Reserve, Hondurasit has not received enough attention compared to high-resolution images. Although high resolution images are more efficient for detection of land cover components, the analysis of low-resolution images are yet important due to the low-resolution repositories of the past satellite images used for tim
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Área De Conservación Guanacaste, Costa Rica relational one. Even more, an outstanding performance is shown quite often by conducting performance comparisons. This paper attempts to illustrate that these performance comparisons should be taken with a pinch of salt. Revisiting published statements about comparisons between the Neo4j graph data
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978-3-030-54594-9Springer Nature Switzerland AG 2020
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Data Management Technologies and Applications978-3-030-54595-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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