Raj P. Gopalan

According to our database, Raj P. Gopalan authored at least 37 papers between 2000 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2018

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

2016

A Deep Learning Approach to Detect SNP Interactions.

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan

J. Softw., 2016

Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View.

Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan

J. Softw., 2016

Towards Deep Learning in genome-Wide Association Interaction studies.

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

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

Quantitative Reasoning of Goal Satisfaction in the i*Framework.

Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur, Raj P. Gopalan

Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions.

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing.

Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan

Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Conference, 2015

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

An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome.

Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Duplicate Bug Report Detection Using Clustering.

Raj P. Gopalan, Aneesh Krishna

Proceedings of the 23rd Australian Software Engineering Conference, 2014

2013

Estimating Sufficient Sample Sizes for Approximate Decision Support Queries.

Amit Rudra, Raj P. Gopalan, N. R. Achuthan

Proceedings of the Enterprise Information Systems - 15th International Conference, 2013

Selecting Adequate Samples for Approximate Decision Support Queries.

Amit Rudra, Raj P. Gopalan, N. R. Achuthan

Proceedings of the ICEIS 2013, 2013

2012

An Efficient Sampling Scheme for Approximate Processing of Decision Support Queries.

Amit Rudra, Raj P. Gopalan, Narasimaha Achuthan

Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June, 2012

2008

Efficient Mining of High Utility Itemsets from Large Datasets.

Alva Erwin, Raj P. Gopalan, N. R. Achuthan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets.

Alva Erwin, Raj P. Gopalan, N. R. Achuthan

Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007

CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach.

Alva Erwin, Raj P. Gopalan, N. R. Achuthan

Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

2006

Clustering high dimensional sparse transactional data with constraints.

Yanrong Li, Raj P. Gopalan

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Mining Value-Based Item Packages - An Integer Programming Approach.

N. R. Achuthan, Raj P. Gopalan, Amit Rudra

Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

Clustering Transactional Data Streams.

Yanrong Li, Raj P. Gopalan

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Stratified Sampling for Association Rules Mining.

Yanrong Li, Raj P. Gopalan

Proceedings of the Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5, 2005

2004

CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure.

Yudho Giri Sucahyo, Raj P. Gopalan

Proceedings of the FIMI '04, 2004

Building a More Accurate Classifier Based on Strong Frequent Patterns.

Yudho Giri Sucahyo, Raj P. Gopalan

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Effective Sampling for Mining Association Rules.

Yanrong Li, Raj P. Gopalan

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design.

Raj P. Gopalan, Yudho Giri Sucahyo

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Retrieval characteristics of an untrained holographic index for image databases.

Raj P. Gopalan, Yohanes Hendra

Proceedings of the 2003 International Conference on Image Processing, 2003

Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets.

Raj P. Gopalan, Yudho Giri Sucahyo

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers.

Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Fast Frequent Itemset Mining using Compressed Data Representation.

Raj P. Gopalan, Yudho Giri Sucahyo

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth.

Yudho Giri Sucahyo, Raj P. Gopalan

Proceedings of the Database Technologies 2003, 2003

2002

ITL-MINE: Mining Frequent Itemsets More Efficiently.

Raj P. Gopalan, Yudho Giri Sucahyo

Proceedings of the FSDK'02, 2002

Algebraic specification of association rule queries.

Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo

Proceedings of the Data Mining and Knowledge Discovery: Theory, 2002

Building A Data Mining Query Optimizer.

Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo

Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection, and Prefix Tree.

Raj P. Gopalan, Yudho Giri Sucahyo

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

Indexing of Image Databases Using Untrained 4D Holographic Memory Model.

Raj P. Gopalan, Grant Lee

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

A Seamless Integration of Association Rule Mining with Database Systems

Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo

CoRR, 2001

2000

Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues.

Amit Rudra, Raj P. Gopalan

Proceedings of the Applied Computing 2000, 2000