Wenjie Wu

Title: Innovations of Wenjie Wu in Distributed Sequential Pattern Mining

Introduction

Wenjie Wu is an accomplished inventor based in Shijingshan 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 understanding and application of mining techniques in complex databases.

Latest Patents

Wenjie Wu's latest patents focus on a method for distributed sequential pattern mining (SPM) using a static task distribution strategy. In this innovative approach, 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 method enhances efficiency and optimizes resource allocation in data mining tasks.

Career Highlights

Wenjie Wu is currently employed at Teradata US, Inc., where he continues to innovate and develop advanced data mining solutions. His expertise in distributed systems and pattern mining has positioned him as a key contributor in his field.

Collaborations

Wenjie has collaborated with notable colleagues, including Tao Li and Lijun Zhao, who have also contributed to advancements in data mining and related technologies.

Conclusion

Wenjie Wu's contributions to distributed sequential pattern mining demonstrate his commitment to innovation in data analysis. His patents reflect a deep understanding of complex systems and a drive to improve efficiency in data processing.