Raj Gopalan

Academic qualifications: BSc(Kerala) Mech Eng, PGDip(IISc) Ind Mgt, MSc(NUS) Comp Sc, PhD(UWA)  

Research Interests

Data mining and knowledge discovery in databases

Multimedia database systems

Data models and query languages

RECENT PUBLICATIONS

A. Erwin, R. Gopalan, N.R.Achuthan, Efficient Mining of High Utility Itemsets from Large Datasets, To appear in Proc. PAKDD 2008, Osaka, Japan, May 2008.

A. Erwin, R. Gopalan, N.R.Achuthan, A Bottom-Up Projection Based Algorithm For Mining High Utility Itemsets, Proc. AIDM 2007, Gold Coast, Australia, Dec 2007.

A. Erwin, R. Gopalan, N.R.Achuthan, CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach, Proc. IEEE CIT 2007, Aizu, Japan, Oct 2007.

Y. Li,  and R. Gopalan, Clustering Transactional Data Streams, Proc AI2006, Dec 2006.

Y. Li,  and R. Gopalan, Clustering High Dimensional Sparse Transactional Data with Constraints, Proc IEEE-GrC, Atlanta, May 2006.

N.R.Achuthan, R. Gopalan, A. Rudra,  Mining Value-Based Item Packages - An Integer Programming Approach, In Williams, G. and Simoff, S. (Eds)Data Mining: Theory, Methodology, Techniques, and Applications, Springer-Verlag, LNCS 3755, 2006.

S. Soh, L. Hiryanto, S. Rai, and R. Gopalan, Dynamic Router Tables for Full Expansion/Compression IP Lookup, Proc IEEE TENCON, Melbourne, November 2005.

L. Hiryanto, S. Soh, S. Rai, and R. Gopalan, Fast IP Table Lookup Construction Using Lexicographic Prefix Ordering, Proc Asia-Pacific Conference on Communications, Perth, October 2005, IEEE Press.

Y. Li,  and R. Gopalan, Stratified Sampling For Association Rules Mining, Proc IFIP TC12 and WG12.5 Second IFIP Conference on Artificial Intelligence Applications and Innovations, Beijing, China, September 7-9,2005

N.R.Achuthan, R. Gopalan, A. Rudra, Mining Optimal Item Packages using Mixed Integer programming, Proc Australian Data Mining Conference 2004, Dec 2004.

Y. G. Sucahyo,  R. Gopalan, CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMI), Brighton, UK, 2004.

Y. Li, R. Gopalan, Effective Sampling for Mining Association Rules,  G.I. Webb and Xinghuo Yu (Eds.): AI 2004, LNAI 3339, pp. 391-401, 2004.

Y.G. Sucahyo, R. Gopalan, Building a More Accurate Classifier Based on Strong Frequent Patterns,  G.I. Webb and Xinghuo Yu (Eds.): AI 2004, LNAI 3339, pp. 1036-1042, 2004.

R. Gopalan, Y.G. Sucahyo, High Performance Frequent Patterns Extraction using Compressed FP-Tree, Proceedings of the SIAM International Workshop on High Performance and Distributed Mining, Orlando, USA, April 2004.

A. Rudra, R. Gopalan,  Y.G. Sucahyo, Scalable Parallel Mining for Frequent Patterns from Dense Datasets using a Cluster of PCs, Proceedings of Sixth International Conference on Information Technology, Bhubaneswar, India, Dec 22-25, 2003.

R. Gopalan, Y.G. Sucahyo, Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets, Proceedings of Third International Conference on Hybrid Intelligent Systems, Melbourne, Australia, Dec 14-17, 2003. 

Y.G. Sucahyo, R. Gopalan, A. Rudra, Efficiently Mining Frequent Patterns from Dense Datasets using a Cluster of Computers, Proceedings of 16th Australian Joint Conference on Artificial Intelligence, Perth, Australia, Dec 3-5, 2003.

R. Gopalan, Y.Hendra, Retrieval Characteristics of an Untrained Holographic Index for Image Databases, Proceedings of IEEE Intl Conf on Image Processing, Barcelona, Sept 2003.

R. Gopalan, Y.G. Sucahyo, Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design, Proceedings of Fourth  International Conference  on  Intelligent  Data  Engineering and Automated Learning (IDEAL), Hong Kong, March 21-23, LNCS, Springer, 2003.

R. Gopalan, Y.G. Sucahyo, Fast Frequent Itemset Mining using Compressed Data Representation, Proceedings of IASTED International Conference on Databases and Applications (DBA'2003), Innsbruck, Austria, Feb 10-13, 2003.

Y.G. Sucahyo, R. Gopalan, CT-ITL: Efficient Frequent Item Set Mining using a Compressed Prefix Tree with Pattern Growth, Proceedings of 14th Australasian Database Conference, Adelaide, Australia, 2003. 

R. Gopalan, T. Nuruddin, Y.G. Sucahyo, Building a Data Mining Query Optimizer, in Proceedings of the Australasian Data Mining Workshop, Canberra, Australia, 2002. 

R. Gopalan, Y.G. Sucahyo, TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection and Prefix Tree, Proceedings of 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, LNAI 2557, Springer, 2002.

R. Gopalan, G. Lee, Indexing Image Databases Using Untrained 4D Holographic Memory Model, Proceedings of 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, LNAI 2557, Springer, 2002.

R. Gopalan, Y.G. Sucahyo, ITL-Mine: Mining Frequent Itemsets More Efficiently, Proceedings of 2002 International Conference on Fuzzy Systems and Knowledge Discovery, Singapore, 2002.

R. Gopalan, T. Nuruddin, Y.G. Sucahyo, Algebraic specification of association rule queries, Proceedings of the SPIE Vol. 4730 Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, USA, 2002.