| 2008 |
| 19 | EE | Alva Erwin,
Raj P. Gopalan,
N. R. Achuthan:
Efficient Mining of High Utility Itemsets from Large Datasets.
PAKDD 2008: 554-561 |
| 2007 |
| 18 | EE | Alva Erwin,
Raj P. Gopalan,
N. R. Achuthan:
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets.
AIDM 2007: 3-10 |
| 17 | EE | Alva Erwin,
Raj P. Gopalan,
N. R. Achuthan:
CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach.
CIT 2007: 71-76 |
| 2006 |
| 16 | EE | Yanrong Li,
Raj P. Gopalan:
Clustering Transactional Data Streams.
Australian Conference on Artificial Intelligence 2006: 1069-1073 |
| 15 | EE | N. R. Achuthan,
Raj P. Gopalan,
Amit Rudra:
Mining Value-Based Item Packages - An Integer Programming Approach.
Selected Papers from AusDM 2006: 78-89 |
| 2004 |
| 14 | EE | Yudho Giri Sucahyo,
Raj P. Gopalan:
Building a More Accurate Classifier Based on Strong Frequent Patterns.
Australian Conference on Artificial Intelligence 2004: 1036-1042 |
| 13 | EE | Yanrong Li,
Raj P. Gopalan:
Effective Sampling for Mining Association Rules.
Australian Conference on Artificial Intelligence 2004: 391-401 |
| 12 | EE | Yudho Giri Sucahyo,
Raj P. Gopalan:
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure.
FIMI 2004 |
| 2003 |
| 11 | EE | Yudho Giri Sucahyo,
Raj P. Gopalan:
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth.
ADC 2003: 95-104 |
| 10 | | Raj P. Gopalan,
Yudho Giri Sucahyo:
Fast Frequent Itemset Mining using Compressed Data Representation.
Applied Informatics 2003: 1203-1208 |
| 9 | EE | Yudho Giri Sucahyo,
Raj P. Gopalan,
Amit Rudra:
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers.
Australian Conference on Artificial Intelligence 2003: 233-244 |
| 8 | | Raj P. Gopalan,
Yudho Giri Sucahyo:
Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets.
HIS 2003: 652-661 |
| 7 | | Raj P. Gopalan,
Yohanes Hendra:
Retrieval characteristics of an untrained holographic index for image databases.
ICIP (2) 2003: 555-558 |
| 6 | EE | Raj P. Gopalan,
Yudho Giri Sucahyo:
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design.
IDEAL 2003: 576-583 |
| 2002 |
| 5 | EE | Raj P. Gopalan,
Grant Lee:
Indexing of Image Databases Using Untrained 4D Holographic Memory Model.
Australian Joint Conference on Artificial Intelligence 2002: 237-248 |
| 4 | EE | Raj P. Gopalan,
Yudho Giri Sucahyo:
TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection, and Prefix Tree.
Australian Joint Conference on Artificial Intelligence 2002: 535-546 |
| 3 | | Raj P. Gopalan,
Yudho Giri Sucahyo:
ITL-MINE: Mining Frequent Itemsets More Efficiently.
FSKD 2002: 167- |
| 2001 |
| 2 | EE | Raj P. Gopalan,
Tariq Nuruddin,
Yudho Giri Sucahyo:
A Seamless Integration of Association Rule Mining with Database Systems
CoRR cs.DB/0106055: (2001) |
| 2000 |
| 1 | | Amit Rudra,
Raj P. Gopalan:
Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues.
SAC (2) 2000: 698-703 |