Hellerup, Denmark

Mikael Bisgaard-B Hr

This inventor holds 1 USPTO granted patent. Top assignee: Ncr Corporation. Active years: 2005.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mikael Bisgaard-B Hr. Retrieved from https://idiyas.com/inventor/mikael-bisgaard-b-hr

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2005

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Mikael Bisgaard-B Hr: Innovator in Data Mining Systems

Introduction

Mikael Bisgaard-B Hr is a notable inventor based in Hellerup, Denmark. He has made significant contributions to the field of data mining through his innovative patent. His work focuses on analyzing retail transactions using advanced statistical models.

Latest Patents

Mikael holds a patent for a computer-implemented data mining system that analyzes data using Gaussian Mixture Models. The patent, titled "Analysis of retail transactions using gaussian mixture models in a data mining system," describes a method where data is accessed from a database. An Expectation-Maximization (EM) algorithm is then performed to create the Gaussian Mixture Model for the accessed data. The EM algorithm generates an output that describes clustering in the data by computing a mixture of probability distributions fitted to the accessed data.

Career Highlights

Mikael is currently employed at NCR Corporation, where he applies his expertise in data mining and analytics. His work at NCR Corporation has allowed him to develop and refine his innovative ideas in the field.

Collaborations

Mikael collaborates with Scott Woodroofe Cunningham, contributing to advancements in their shared field of expertise.

Conclusion

Mikael Bisgaard-B Hr is a distinguished inventor whose work in data mining systems exemplifies innovation in analyzing retail transactions. His contributions continue to impact the field significantly.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…