Company Filing History:
Years Active: 2015-2019
Title: The Innovations of Dong Liang
Introduction
Dong Liang is a notable inventor based in Shaanxi, China. He has made significant contributions to the field of data mining, particularly through his innovative approaches to mining association rules. With a total of four patents to his name, Dong Liang continues to push the boundaries of technology and data analysis.
Latest Patents
One of Dong Liang's latest patents focuses on mining association rules in the map-reduce framework. In this process, each iteration involves a cluster of computing systems where each mapper node receives a split of transaction data. Each mapper node scans the split to count the absolute support value of each candidate itemset for the current search level(s). The candidate itemsets and their support values are then passed to reducer nodes in the cluster. The number of reducer nodes is determined adaptively based on the number of candidate itemsets and the maximum available resource nodes in the cluster. Each reducer node combines the absolute support value of each candidate itemset and identifies frequent itemsets using a minimum support threshold. For each frequent itemset found, the reducer node creates association rules that satisfy a minimum confidence threshold and exports all discovered frequent itemsets and association rules to a file system for storage.
Career Highlights
Dong Liang is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM allows him to collaborate with leading experts in the field and contribute to groundbreaking projects that leverage advanced data mining techniques.
Collaborations
Some of Dong Liang's notable coworkers include Yea Jane Chu and Jing-Yun Shyr. Their collaborative efforts enhance the innovative environment at IBM and contribute to the development of cutting-edge technologies.
Conclusion
Dong Liang's contributions to the field of data mining and his innovative patents reflect his dedication to advancing technology. His work at IBM and collaborations with talented individuals further amplify his impact in the industry.