Minimization, in essence, is the legal term for the constraints placed upon the government's ability to retain non-relevant private information collected legally.

Organizations across industries are exploring data minimization initiatives that are focused not only on reducing the volume of data they already hold, but also on collecting less new data going ...

This article proposes a constrained ℓ₁ minimization method for estimating a sparse inverse covariance matrix based on a sample of n iid p-variate random variables. The resulting estimator is shown to ...

According to the GDPR, “a data controller should limit the collection of personal information to what is directly relevant and necessary to accomplish a specified purpose. They should also retain the ...

In this article, we analyse three related preconditioned steepest descent algorithms, which are partially popular in Hartree-Fock and Kohn-Sham theory as well as invariant subspace computations, from ...

How do you apply data minimization? Data minimization requires a comprehensive implementation plan that includes four key principles. 1. Narrow data collection. Focus your data-gathering techniques to ...

While the practice of data minimization isn't exactly new, we're now seeing it resonate and discussed at the forefront of the legal industry for the first time. September 02, 2019 at 01:00 AM ...