Abstract: Multi-label stream classification aims to address the challenge of dynamically assigning multiple labels to sequentially-arrived instances. In real situations, only partial labels of ...

NEW YORK, Dec. 18, 2025 /PRNewswire/ -- DoControl, a leader in SaaS Data Security, today announced a strategic partnership with Sentra, a renowned DSPM platform, to help organizations turn data ...

Abstract: As data continues to grow exponentially, the importance of online learning across various domains has increased significantly. However, most existing studies assume that the true class label ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Project Comprova, a collaborative fact-checking initiative in Brazil, has abandoned the labels "false," "misleading," "satire," and "proven" in its verifications and adopted a broader approach to ...

In an effort to foster progress in cancer research, the National Institute of Standards and Technology (NIST) is releasing detailed and comprehensive data about the entire genetic content of a ...

In an effort to foster progress in cancer research, the National Institute of Standards and Technology (NIST) is releasing detailed and comprehensive data about the entire genetic content of a ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

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 ...

How consumers define ‘clean label’ is expanding beyond ‘simple, easy-to-understand ingredients’ to include questions about the safety of some long-used ingredients and processing techniques as well as ...