Jungho Park

Title: Jungho Park: Innovator in Anomaly Detection Technologies

Introduction

Jungho Park is a notable inventor based in Gwangmyeong-si, South Korea. He has made significant contributions to the field of anomaly detection through his innovative patents. With a total of 3 patents to his name, Park's work focuses on enhancing data mining and outlier detection techniques.

Latest Patents

One of his latest patents is titled "System and method for one-class similarity machines for anomaly detection." This invention provides a system that facilitates anomaly detection by determining a set of training instances representing a single class of data. The system computes a similarity score for each testing instance and classifies instances as anomalies based on a boundary threshold. This innovation enhances data mining and outlier detection using unlabeled training instances.

Another significant patent is "System and method for binned inter-quartile range analysis in anomaly detection of a data series." This system determines a set of testing data and divides it into groups based on the type of data series. It classifies testing data points as anomalies based on the inter-quartile range for respective groups, thereby improving outlier detection for multiple variables.

Career Highlights

Jungho Park has worked with prominent organizations such as Palo Alto Research Center Inc. and Panasonic Corporation. His experience in these companies has contributed to his expertise in developing advanced technologies for anomaly detection.

Collaborations

Throughout his career, Park has collaborated with notable professionals, including Ajay Raghavan and Ryan A Rossi. These collaborations have likely enriched his work and led to innovative solutions in his field.

Conclusion

Jungho Park is a distinguished inventor whose work in anomaly detection has made a significant impact on data analysis technologies. His innovative patents and collaborations reflect his commitment to advancing the field.