Ma Yiming

Mr. Ma Yiming is currently working in the School of Computing (SoC), National University of Singapore (NUS) as senior tutor. He is on No-pay leave from Oct. 1, 2001 to Sep. 30, 2006. During the No-pay leave period, he will be pursuing his PhD. degree in the Information and Computer Science (ICS), UC, Irvine, CA, USA.

Yiming has always been very keen and very good in research. He graduated from SoC, NUS with the First Class Honours in 1998. He received “IEEE Information Technology Book Prize 1998-1999” for the best Honours year project. 

In Dec, 2000, Yiming received his Masters of Science (Computer Sci.) degree from the SoC, NUS. His MSc. thesis (Data Mining Using CBA Framework) has been awarded the best MSc. thesis of the year 2000-2001. In pursuing his Masters degree in Computer Science, he also received “Dean’s Graduate Award, 1999-2000” because of his excellent research work.  

In the past 3 years, Yiming’s research topic is data mining in large databases, in particular, classification based on associations. He has worked intensively on the system CBA (Classification Based on Association). The working prototype of CBA has been recognized as a benchmarking program for the classification systems using association rules. He has co-authored over 10 research papers, which have been published in SIG-KDD01, SIG-KDD00, KDD99 and KDD98( Rank 1 International conferences).  

Other than research experiences, Yiming is currently involved in a number of real life data mining projects. The projects require him to have good understandings and knowledge on the cutting edge database technologies, and different data mining techniques. He's familiar with modern DBMS (e.g. Oracle, SQL server, Sybase and etc.), and different techniques used in each stage of the data mining process (i.e. Pre-processing, Mining, and Post-processing).

As a Senior Tutor, his teaching experiences are mainly on the Database and Programming courses. He has teaching experiences on two database courses (Introduction to the Database System CS2102 and Database Management System CS3102), and a Visual Programming course (Object Oriented Windows Programming). He loves teaching and learning from with his students.

In the course of his research and work, he has used Visual C++ and other related programming languages extensively. He is familiar with UNIX, Windows NT and Windows 98/95.

Other than his academic work, he has wide interests in other areas like diving, swimming, cycling, movies, reading, and even computer games. He likes to be the kind of person who is constantly seeking for new challenges.  

 Publications:

1. Yiming Ma, Bing Liu, Ching Kian Wong, P. S. Yu, and S. M Lee. "Targeting the Right Students Using Data Mining." To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2000, Industry Track), Aug, 2000, Boston, USA.

2. Yiming Ma, Ching Kian Wong, and Bing Liu. "Effective Browsing of the Discovered Association Rules Using the Web." To appear in ACM SIG-KDD-2000 workshop on Post-Processing in Machine Learning and Data Mining, Aug, 2000, Boston, USA.

3. Bing Liu, Yiming Ma, Philip S. Yu. "Discovering Unexpected Information from Your Competitors' Web Sites." To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001, full paper), San Francisco Bay Area, CA; Aug 20-23, 2001

4. Bing Liu, Wynne Hsu, Yiming Ma "Identifying Non-Actionable Association Rules" To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001, poster paper), San Francisco Bay Area, CA; Aug 20-23, 2001

5. Bing Liu, Wynne Hsu, Yiming Ma "Discovering the Set of Fundamental Rule Changes" To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001, poster paper), San Francisco Bay Area, CA; Aug 20-23, 2001

6. Bing Liu, Yiming Ma and Ching Kian Wong. "Web for Data Mining Applications". To appear in Processings of the 24th IEEE International Computer Software and Applications Conference (Compsac-2000), Oct 25-27 2000, Taipei.

7. Bing Liu, Wynne Hsu, Yiming Ma, "Pruning and Summarizing the Discovered Associations" Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99, full paper), August 15-18, 1999, San Diego, CA, USA.

8. Bing Liu, Yiming Ma, C-K Wong, "Classification Using Association Rules: Weaknesses and Enhancements." To appear in Vipin Kumar, et al, (eds), Data mining for scientific applications, 2001.

9. Bing Liu, Yiming Ma, and Ching-Kian Wong, "Improving an exhaustive search based rule learner" Proceedings of the Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2000), September 13-16, 2000, Lyon, France.

10. Bing Liu, Wynne Hsu, Yiming Ma, "Integrating Classification and Association Rule Mining." Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98, full paper), New York, USA, 1998.

11. Bing Liu, Wynne Hsu, Yiming Ma, "Mining Association Rules with Multiple Minimum Supports" Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99), August 15-18, 1999, San Diego, CA, USA.

12. Bing Liu, Wynne Hsu, Shu Chen and Yiming Ma, "Analyzing the Subjective Interestingness of Association Rules," To appear in IEEE Intellgent Systems, 2000.

13. Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen, "Discovering Interesting Knowledge using DM-II" Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99), Industrial Track, August 15-18, 1999, San Diego, CA, USA.

The following is his resume: