James Heinlein

Title: Innovations of James Heinlein

Introduction

James Heinlein is an accomplished inventor based in Atlanta, GA. He has made significant contributions to the field of technology, particularly in the area of anomaly detection over high-dimensional space. His innovative approach has led to the development of a unique patent that addresses complex data analysis challenges.

Latest Patents

James Heinlein holds a patent for "Anomaly detection over high-dimensional space." This invention involves one or more computer processors creating a binary cluster of events by bootstrapping a set of ground truths contained within a rule engine applied to a set of high-dimensional datapoints. The binary cluster consists of two clusters, each containing a plurality of high-dimensional datapoints. The invention further determines one or more peer groups for a set of unknown high-dimensional datapoints utilizing a trained multiclass classifier. This classifier assigns the high-dimensional datapoints to one or more peer groups using an incremental learning algorithm to reduce system resources. Additionally, it creates an activity distribution for each unknown high-dimensional datapoint associated with a user and each peer group. The invention calculates a deviation percentage between the activity distribution of the user and each peer group. If the deviation exceeds a threshold, the user or associated high-dimensional datapoints are classified as risky.

Career Highlights

James Heinlein is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced technologies that enhance data processing and analysis.

Collaborations

James has collaborated with notable coworkers, including Bradley E. Harris and Moazzam Khan. Their combined expertise contributes to the innovative projects at IBM.

Conclusion

James Heinlein's contributions to technology through his patent on anomaly detection highlight his role as a leading inventor in the field. His work continues to influence advancements in data analysis and processing.