Raj P. Gopalan

Publication Activity (10 Years)

Years Active: 2000-2018
Publications (10 Years): 4

Top Topics

Imbalanced Datasets

Decision Support

Approximate Query Processing

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
A Deep Learning Approach to Detect SNP Interactions. J. Softw. 11 (10) (2016)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
Towards Deep Learning in genome-Wide Association Interaction studies. PACIS (2016)
Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan
Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View. J. Softw. 11 (1) (2016)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
Rule-based analysis for detecting epistasis using associative classification mining. Netw. Model. Anal. Health Informatics Bioinform. 4 (1) (2015)
Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan
Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing. EDOC (2015)
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur, Raj P. Gopalan
Quantitative Reasoning of Goal Satisfaction in the i*Framework. SEKE (2015)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions. ICONIP (1) (2015)
Raj P. Gopalan, Aneesh Krishna
Duplicate Bug Report Detection Using Clustering. Australian Software Engineering Conference (2014)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome. BIBE (2014)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification. Aust. J. Intell. Inf. Process. Syst. 14 (1) (2014)
Amit Rudra, Raj P. Gopalan, N. R. Achuthan
Estimating Sufficient Sample Sizes for Approximate Decision Support Queries. ICEIS (2013)
Amit Rudra, Raj P. Gopalan, N. R. Achuthan
Selecting Adequate Samples for Approximate Decision Support Queries. ICEIS (1) (2013)
Amit Rudra, Raj P. Gopalan, Narasimaha Achuthan
An Efficient Sampling Scheme for Approximate Processing of Decision Support Queries. ICEIS (1) (2012)
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
Efficient Mining of High Utility Itemsets from Large Datasets. PAKDD (2008)
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach. CIT (2007)
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets. AIDM (2007)
Yanrong Li, Raj P. Gopalan
Clustering high dimensional sparse transactional data with constraints. GrC (2006)
Yanrong Li, Raj P. Gopalan
Clustering Transactional Data Streams. Australian Conference on Artificial Intelligence (2006)
Yanrong Li, Raj P. Gopalan
Stratified Sampling for Association Rules Mining. AIAI (2005)
Yanrong Li, Raj P. Gopalan
Effective Sampling for Mining Association Rules. Australian Conference on Artificial Intelligence (2004)
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)
Yudho Giri Sucahyo, Raj P. Gopalan
Building a More Accurate Classifier Based on Strong Frequent Patterns. Australian Conference on Artificial Intelligence (2004)
Raj P. Gopalan, Yudho Giri Sucahyo
Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets. HIS (2003)
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)
Raj P. Gopalan, Yudho Giri Sucahyo
Fast Frequent Itemset Mining using Compressed Data Representation. Applied Informatics (2003)
Raj P. Gopalan, Yohanes Hendra
Retrieval characteristics of an untrained holographic index for image databases. ICIP (2) (2003)
Yudho Giri Sucahyo, Raj P. Gopalan
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth. ADC (2003)
Raj P. Gopalan, Yudho Giri Sucahyo
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design. IDEAL (2003)
Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo
Algebraic specification of association rule queries. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2002)
Raj P. Gopalan, Yudho Giri Sucahyo
ITL-MINE: Mining Frequent Itemsets More Efficiently. FSKD (2002)
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)
Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo
Building A Data Mining Query Optimizer. AusDM (2002)
Raj P. Gopalan, Grant Lee
Indexing of Image Databases Using Untrained 4D Holographic Memory Model. Australian Joint Conference on Artificial Intelligence (2002)
Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo
A Seamless Integration of Association Rule Mining with Database Systems CoRR (2001)
Amit Rudra, Raj P. Gopalan
Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues. SAC (2) (2000)