Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues. - Amit Rudra; Raj P. Gopalan (SAC (2), 2000)

A Seamless Integration of Association Rule Mining with Database Systems - Raj P. Gopalan; Tariq Nuruddin; Yudho Giri Sucahyo (CoRR, 2001)

Indexing of Image Databases Using Untrained 4D Holographic Memory Model. - Raj P. Gopalan; Grant Lee (Australian Joint Conference on Artificial Intelligence, 2002)

TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection, and Prefix Tree. - Raj P. Gopalan; Yudho Giri Sucahyo (Australian Joint Conference on Artificial Intelligence, 2002)

Building A Data Mining Query Optimizer. - Raj P. Gopalan; Tariq Nuruddin; Yudho Giri Sucahyo (AusDM, 2002)

Algebraic specification of association rule queries. - Raj P. Gopalan; Tariq Nuruddin; Yudho Giri Sucahyo (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2002)

ITL-MINE: Mining Frequent Itemsets More Efficiently. - Raj P. Gopalan; Yudho Giri Sucahyo (FSKD, 2002)

CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth. - Yudho Giri Sucahyo; Raj P. Gopalan (ADC, 2003)

Fast Frequent Itemset Mining using Compressed Data Representation. - Raj P. Gopalan; Yudho Giri Sucahyo (Applied Informatics, 2003)

Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers. - Yudho Giri Sucahyo; Raj P. Gopalan; Amit Rudra (Australian Conference on Artificial Intelligence, 2003)

Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets. - Raj P. Gopalan; Yudho Giri Sucahyo (HIS, 2003)

Retrieval characteristics of an untrained holographic index for image databases. - Raj P. Gopalan; Yohanes Hendra (ICIP (2), 2003)

Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design. - Raj P. Gopalan; Yudho Giri Sucahyo (IDEAL, 2003)

Effective Sampling for Mining Association Rules. - Yanrong Li; Raj P. Gopalan (Australian Conference on Artificial Intelligence, 2004)

Building a More Accurate Classifier Based on Strong Frequent Patterns. - Yudho Giri Sucahyo; Raj P. Gopalan (Australian Conference on Artificial Intelligence, 2004)

CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure. - Yudho Giri Sucahyo; Raj P. Gopalan (FIMI, 2004)

Stratified Sampling for Association Rules Mining. - Yanrong Li; Raj P. Gopalan (AIAI, 2005)

Clustering Transactional Data Streams. - Yanrong Li; Raj P. Gopalan (Australian Conference on Artificial Intelligence, 2006)

Mining Value-Based Item Packages - An Integer Programming Approach. - N. R. Achuthan; Raj P. Gopalan; Amit Rudra (Selected Papers from AusDM, 2006)

Clustering high dimensional sparse transactional data with constraints. - Yanrong Li; Raj P. Gopalan (GrC, 2006)

CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach. - Alva Erwin; Raj P. Gopalan; N. R. Achuthan (CIT, 2007)

A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets. - Alva Erwin; Raj P. Gopalan; N. R. Achuthan (AIDM, 2007)

Efficient Mining of High Utility Itemsets from Large Datasets. - Alva Erwin; Raj P. Gopalan; N. R. Achuthan (PAKDD, 2008)

An Efficient Sampling Scheme for Approximate Processing of Decision Support Queries. - Amit Rudra; Raj P. Gopalan; Narasimaha Achuthan (ICEIS (1), 2012)

Selecting Adequate Samples for Approximate Decision Support Queries. - Amit Rudra; Raj P. Gopalan; N. R. Achuthan (ICEIS (1), 2013)

Estimating Sufficient Sample Sizes for Approximate Decision Support Queries. - Amit Rudra; Raj P. Gopalan; N. R. Achuthan (ICEIS, 2013)

Duplicate Bug Report Detection Using Clustering. - Raj P. Gopalan; Aneesh Krishna (Australian Software Engineering Conference, 2014)

An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (BIBE, 2014)

Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (Aust. J. Intell. Inf. Process. Syst., 2014)

Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing. - Tomohiro Inoue; Aneesh Krishna; Raj P. Gopalan (EDOC, 2015)

A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (ICONIP (1), 2015)

Quantitative Reasoning of Goal Satisfaction in the i*Framework. - Chitra M. Subramanian; Aneesh Krishna; Arshinder Kaur; Raj P. Gopalan (SEKE, 2015)

Rule-based analysis for detecting epistasis using associative classification mining. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Towards Deep Learning in genome-Wide Association Interaction studies. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (PACIS, 2016)

Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View. - Tomohiro Inoue; Aneesh Krishna; Raj P. Gopalan (J. Softw., 2016)

A Deep Learning Approach to Detect SNP Interactions. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (J. Softw., 2016)

A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data. - Suneetha Uppu; Aneesh Krishna; Raj P. Gopalan (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)