Ruoming Jin’s Publications (Before 2005)

 

2004

• Anjan Goswami, Ruoming Jin, and Gagan Agrawal,  Fast and Exact Out-of-Core K-Means Clustering, in ICDM'04.

• Ruoming Jin, Karthik Vaidyanathan, Ge Yang, and Gagan Agrawal, Using Tiling to Scale Parallel Data Cube Construction,  in the Proc. of International Conference on Parallel Processing (ICPP), August 2004.  

2003

• Ruoming Jin and Gagan Agrawal,  Efficient Decseion Tree Construction on Streaming Data, in KDD'03.

• Ruoming Jin and Gagan Agrawal,  Communication and Memory Efficient Parallel Decseion Tree Construction, in SDM'03.

• Ruoming Jin and Gagan Agrawal, Combining Distributed Memory and Shared Memory Parallelization for Data Mining Algorithms, in the 6^th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining (HPDM: PDS’03) in conjunction with SDM, 2003.

• Ruoming Jin, Ge Yang and Gagan Agrawal, Communication and Memory Optimal Parallel Data Cube Construction, in the Proc. of International Conference on Parallel Processing (ICPP), August 2003.

• Ge Yang, Ruoming Jin and Gagan Agrawal,  Impact of Data Distribution, Level of Parallelism and Communication Frequency on Parallel Data Cube Construction, in IPDPS'03.

• Xiaogang Li, Ruoming Jin and Gagan Agrawal, A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms, in IPDPS'03.

2002

• Ruoming Jin and Gagan Agrawal, Shared Memory Parallelization of Decseion Tree Construction Using a General Data Mining Middleware, in EuroPar'02.

• Ruoming Jin and Gagan Agrawal, Performance Prediction for Random Write Reduction: A Case Study in Modeling Shared Memory Programs, in SIGMETRICS'02.

• Ruoming Jin and Gagan Agrawal,  Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance, in SDM'02.

• Ge Yang, Ruoming Jin and Gagan Agrawal, Implementing Data Cube Construction Using a Cluster Middleware: Algorithms, Implementation Experience and Performance Evaluation, in CCGrid'02.

• Xiaogang Li, Ruoming Jin, and Gagan Agrawal,  Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms, in proceedings of Languages and Compilers for Parallel Computing (LCPC), 2002.

2001

• Ruoming Jin and Gagan Agrawal,  A Middleware for Developing Parallel Data Mining Applications, in SDM'01.

• Gagan Agrawal, Ruoming Jin, and Xiaogang Li,  Compiler and Middleware Support for Scalable Data Mining, in 9th Workshop on Compilers for Parallel Computers, June 2001.

• Ruoming Jin and Gagan Agrawal,  An Efficient Association Mining Implementation on Cluster of SMPs, in 4th International Workshop on Parallel and Distributed Data Mining, April 2001.

2000

• Renato Ferreira, Gagan Agrawal, Ruoming Jin, and Joel Saltz, Compiling Data Intensive Applications with Spatial Coordinates, in Proceedings of Languages and Compilers for Parallel Computing, pp.333-347, August 2000.

• Gagan Agrawal, Renato Ferreira, Joel Saltz, and Ruoming Jin, High-level Programming Methodologies for Data Intensive Computing, in Proceedings of Languages, Compilers and Runtime Systems for Scalable Machines, May 2000.

 

Technical Reports

• Ruoming Jin, Karthik Vaidyanathan, Ge Yang, and Gagan Agrawal, "Using Tiling to Scale Parallel Data Cube Construction," 23 pp. OSU-CISRC-5/04-TR35. Electronic report available under 2004/TR35.pdf OSU-CISRC-5/04--TR35.

• Ruoming Jin and Gagan Agrawal, "An Algorithm for In-Core Frequent Itemset Mining on Streaming Data," 10 pp. OSU-CISRC-2/04-TR14. Electronic report available under 2004/TR14.pdf OSU-CISRC-2/04--TR14.

• Ruoming Jin and Gagan Agrawal, "Efficient Decseion Tree Construction on Streaming Data," 10 pp. OSU-CISRC-6/03-TR34. Electronic report under 2003/TR34.pdf OSU-CISRC-6/03--TR34.

Miscellaneous

• Gagan Agrawal, Ruoming Jin, Raghu Machiraju, and Srini Parthasarathy, Systems Support for High-Performance Scientific Data Mining,
  poster in the NSF Workshop on Next Generation Data Mining (NGDM02), Nov, 2002.

• Ruoming Jin and Gagan Agrawal,  Parallelizing Data Intensive Reductions on SMP Clusters  submitted for publication.

• Ruoming Jin and Gagan Agrawal,  Developing Data Intensive Applications on SMP Clusters, talk in the First SIAM Conference on Computational Science and Engineering, September 2000.

• Ruoming Jin,   Real time and Embedded Software Testing Techniques, Master's thesis, CSE Dept. Beijing University of Aeronautics and Astronautics, China, Feb. 1999.