Hi, this is Ruoming Jin's homepage!

 

 

I have completed my Ph.D. in the Department of Computer Science and Engineering (CSE), the Ohio State University.

Starting Fall, 2005, I will be an assistant professor in the Computer Science Department, Kent State University. My new webpage is at http://www.cs.kent.edu/~jin.

My research focuses on Data Mining, Databases, and High Performance Computing.

My advisor is Prof. Gagan Agrawal.

* Here is a list of my publications.

* my CV (Mar. 2005). 

* my Research Statement. 

*  Education                                                                                                                                                              

* Ph.D. (2004, Expected) in Computer Science: The Ohio State University  (Minors: Statistics and Theory of Computation)

* M.S. (2001) in Computer Science: University of Delaware

* M.E. (1999), B.E. (1996) in Computer Engineering: Beijing University of Aeronautics and Astronautics

 

*  Selected Publications

Ruoming Jin and Gagan Agrawal,  A Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases, submitted for publication.

Ruoming Jin, Chao Wang, Dmitrii Polshako, Srinivasan Parthasarathy, and Gagan Agrawal, Discovering Frequent Topological Patterns from Graph Datasets, to appear in KDD'05.

Ruoming Jin, Kaushik Sinha, and Gagan Agrawal, Simultaneous Optimization of Complex Mining Tasks with a Knowledgeable Cache, to appear in KDD'05.

Ruoming Jin, Ge Yang, and Gagan Agrawal, Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance, in the IEEE Transactions on Knowledge & Data Engineering (TKDE), Vol. 17, No. 1, January, 2005

Ruoming Jin and Gagan Agrawal, Efficient Decse.on Tree Construction on Streaming Data,  in the Proc. of 9th International Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2003.

Ruoming Jin and Gagan Agrawal, Communication and Memory Efficient Parallel Decse.on Tree Construction, in the Proc. of Third SIAM International Conference on Data Mining (SDM), April 2003.

Ruoming Jin and Gagan Agrawal, Performance Prediction for Random Write Reduction: A Case Study in Modeling Shared Memory Programs, in ACM Sigmetrics (SIGMETRICS), June 2002.

 

*  Research Topics

My dissertation work focuses on developing new techniques for frequent structure (pattern) mining. I am working on the following problems.

*Mining Multiple Datasets

*Single-pass Algorithms for Mining Data Streams

*New Data Structures for Maintaining Itemsets

*A Generalized Model for Frequent Structure Mining

 

Besides the above work, I also proposed a new algorithm FEKM to speedup k-means clustering on very large out-of-core datasets and developed several new techniques to efficiently construct decse.on tree on streaming data.

 

I am also interested in parallel data mining. I have developed a middleware FREERIDE for efficient parallelization of data mining algorithms on disk-resident datasets, and designed several new parallel data mining and OLAP algorithms.

 

Applying data mining in real applications always intrigues me. Some of my course projects involve mining biology datasets, such as clustering protein sequences of chicken and classification of DNA sequences.

 

* Useful Links

* GOOGLE!

* OSU Library

* IEEE Xplore

* CNN

* ESPN

* SINA NEWS

 

*  Contact Information

Office: 

772 Dreese Lab., the Ohio State University

Tel:

(614)688-8486

Email:

jinr@cse.ohio-state.edu