Company Filing History:
Years Active: 2013-2016
Title: Michael Prerau: Innovator in Anomaly Detection
Introduction
Michael Prerau is an accomplished inventor based in Chestnut Hill, MA (US). He has made significant contributions to the field of anomaly detection, particularly through his innovative methods that utilize geometric frameworks. With a total of 2 patents, Prerau's work is at the forefront of processing unlabeled data.
Latest Patents
Prerau's latest patents focus on methods of unsupervised anomaly detection using a geometric framework. These algorithms are designed to process unlabeled data, mapping data elements to a feature space, which is typically a vector space. Anomalies are detected by identifying points that lie in sparse regions of this feature space. The methods employ two feature maps for mapping data elements. The first map is a data-dependent normalization feature map applied to network connections. The second feature map is a spectrum kernel, which is utilized for system call traces.
Career Highlights
Michael Prerau is affiliated with Columbia University, where he continues to advance his research in anomaly detection. His work has garnered attention for its innovative approach and practical applications in various fields.
Collaborations
Prerau has collaborated with notable colleagues, including Eleazar Eskin and Andrew Oliver Arnold. Their combined expertise contributes to the development of cutting-edge solutions in the realm of data analysis.
Conclusion
Michael Prerau stands out as a key figure in the field of anomaly detection, with his innovative methods paving the way for advancements in data processing. His contributions are invaluable to the ongoing evolution of technology in this area.