Hanhuai Shan

Title: The Innovations of Hanhuai Shan

Introduction

Hanhuai Shan is a notable inventor based in Saint Paul, MN (US). He has made significant contributions to the field of data analysis, particularly in retail sales data sets. His innovative approach to handling missing data has garnered attention in the research community.

Latest Patents

Hanhuai Shan holds a patent for a system, method, and computer program product that provides for multiple imputation of missing data elements in retail data sets. The patent, titled "Multiple imputation of missing data in multi-dimensional retail sales data sets via tensor factorization," outlines a fast and scalable scheme suitable for large data sets. This method generates multiple imputations, creating a set of complete data sets that capture the variability in the magnitudes of missing data values for subsequent statistical analysis. The approach leverages the multi-dimensional structure of retail data sets and incorporates tensor factorization to replace original missing values with various imputed values.

Career Highlights

Throughout his career, Hanhuai Shan has worked with prominent organizations, including IBM and the University of Minnesota. His experience in these institutions has allowed him to refine his skills and contribute to significant advancements in data analysis techniques.

Collaborations

Hanhuai Shan has collaborated with esteemed colleagues such as Ramesh Natarajan and Arindam Banerjee. These partnerships have further enriched his research and innovation efforts.

Conclusion

Hanhuai Shan's work in the field of data imputation and analysis exemplifies the impact of innovative thinking in addressing complex challenges in retail data management. His contributions continue to influence the way missing data is handled in large data sets.