| 2015 | EDOC | Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing. | Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan |
| 2015 | ICONIP | A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions. | Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan |
| 2015 | SEKE | Quantitative Reasoning of Goal Satisfaction in the i*Framework. | Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur, Raj P. Gopalan |
| 2014 | BIBE | An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome. | Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan |
| 2008 | PAKDD | Efficient Mining of High Utility Itemsets from Large Datasets. | Alva Erwin, Raj P. Gopalan, N. R. Achuthan |
| 2007 | AusDM | A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets. | Alva Erwin, Raj P. Gopalan, N. R. Achuthan |
| 2006 | GRC | Clustering high dimensional sparse transactional data with constraints. | Yanrong Li, Raj P. Gopalan |
| 2003 | ADC | CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth. | Yudho Giri Sucahyo, Raj P. Gopalan |
| 2003 | HIS | Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets. | Raj P. Gopalan, Yudho Giri Sucahyo |
| 2003 | ICIP | Retrieval characteristics of an untrained holographic index for image databases. | Raj P. Gopalan, Yohanes Hendra |
| 2003 | IDEAL | Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design. | Raj P. Gopalan, Yudho Giri Sucahyo |
| 2002 | AusDM | Building A Data Mining Query Optimizer. | Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo |
| 2000 | SAC | Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues. | Amit Rudra, Raj P. Gopalan |