Results 11 to 20 of about 436,143 (257)
Privacy Preserving Data Mining [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yehuda Lindell, Benny Pinkas
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Distribution-preserving data augmentation
In the last decade, deep learning has been applied in a wide range of problems with tremendous success. This success mainly comes from large data availability, increased computational power, and theoretical improvements in the training phase. As the dataset grows, the real world is better represented, making it possible to develop a model that can ...
Ayse Nurdan Saran +2 more
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Preservation Strategies for Biodiversity Data [PDF]
We are witnessing a fast proliferation of biodiversity informatics projects. The data accumulated by these initiatives often grows rapidly, even exponentially. Most of these projects start small and do not foresee the data achitecture challenges of their future.
Dmitry Mozzherin, Deborah Paul
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Preserving research data [PDF]
Granting ownership rights to data, as if it were private property, only limits data access without ensuring the benefits of researcher precedence or the rewards for good data collection.
James A. Jacobs, Charles Humphrey
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Property-Preserving Data Reconstruction [PDF]
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Nir Ailon +3 more
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Privacy preserving data visualizations [PDF]
AbstractData visualizations are a valuable tool used during both statistical analysis and the interpretation of results as they graphically reveal useful information about the structure, properties and relationships between variables, which may otherwise be concealed in tabulated data.
Demetris Avraam +7 more
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Digital Preservation of Geospatial Data [PDF]
The selection, acquisition, and management of digital data are now part and parcel of the work librarians handle on a day-to-day basis. While much thought goes into this work, little consideration may be given to the long-term preservation of the collected data.
Erwin, Tracey +2 more
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Privacy Preservation and Analytical Utility of E-Learning Data Mashups in the Web of Data
Virtual learning environments contain valuable data about students that can be correlated and analyzed to optimize learning. Modern learning environments based on data mashups that collect and integrate data from multiple sources are relevant for ...
Mercedes Rodriguez-Garcia +2 more
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Deep Multiple Metric Learning for Time Series Classification
Effective distance metric plays an important role in time series classification. Metric learning, which aims to learn a data-adaptive distance metric to measure the distance among samples, has achieved promising results on time series classification ...
Zhi Chen +6 more
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Digital information is a vital resource in our knowledge economy, valuable for research and education, science and the humanities, creative and cultural activities, and public policy (The Blue Ribbon Task Force on Sustainable Digital Preservation and Access, 2010).
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