Data Mining & Modeling

The widespread adoption of machine learning has made learned classifiers a fundamental component of numerous products supported by OptimalA researchers and engineers. However, real-world scenarios often present complex challenges that cannot be solved with off-the-shelf algorithms alone. One significant hurdle lies in devising appropriate metrics, crafting experimental methodologies, and modeling the problem space effectively to create concise representations that capture the essence of the problem. These challenges transcend the products and services our teams support, from designing experiments to evaluate new algorithms to creating automated metrics. Data mining plays a pivotal role in addressing these questions, and our research stands at the forefront of this field. Our team is dedicated to finding more efficient algorithms for handling massive datasets, developing methods that preserve privacy during classification, and innovating new approaches to machine learning. We continuously push the boundaries of what is achievable, striving to advance the field with our groundbreaking work.