Shaoming Li

Title: Innovations of Shaoming Li in Distributed Sequential Pattern Mining

Introduction

Shaoming Li is a notable inventor based in Chaoyang District, China. He has made significant contributions to the field of data mining, particularly in the area of distributed sequential pattern mining. With a total of 2 patents, his work has advanced the methodologies used in processing large datasets.

Latest Patents

Li's latest patents focus on a novel approach to distributed sequential pattern mining (SPM) using a static task distribution strategy. In this innovative method, seed patterns are derived from a sequence database. The execution costs for various types of seed patterns are computed, and each seed pattern is iteratively distributed to distributed nodes along with its assigned execution cost. The distributed nodes process in parallel to mine the sequence database for super patterns. When a distributed node exhausts its execution budget, any remaining mining needed for the seed pattern is reallocated to another distributed node that has a remaining execution budget. This approach enhances the efficiency of mining operations in large-scale databases.

Career Highlights

Shaoming Li is currently employed at Teradata US, Inc., where he continues to develop and refine his innovative techniques in data mining. His work has been instrumental in improving the performance and scalability of data processing systems.

Collaborations

Li collaborates with esteemed colleagues such as Tao Li and Lijun Zhao, contributing to a dynamic research environment that fosters innovation and development in data mining technologies.

Conclusion

Shaoming Li's contributions to distributed sequential pattern mining represent a significant advancement in the field of data processing. His innovative methodologies and collaborative efforts continue to shape the future of data mining technologies.