Data drives business, but data can be a double-edged sword. How can you limit access to that vital enterprise marketing plan, confidential account database or super-secret research report? On the ...

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers at the University of Tsukuba have demonstrated that art data can be ...

A general framework is presented for data analysis of latent finite partially ordered classification models. When the latent models are complex, data analytic validation of model fits and of the ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...