Raj P. Gopalan

37 papers B 2C 5Misc 4Journal 6Unranked 19
YearRankTypeTitle / Venue / Authors
2018 J jnl
A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2016 J jnl
A Deep Learning Approach to Detect SNP Interactions.
J. Softw.
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2016 J jnl
Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View.
J. Softw.
Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan
2016 — conf
Towards Deep Learning in genome-Wide Association Interaction studies.
PACIS
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2015 — conf
A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions.
ICONIP (1)
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2015 B conf
Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing.
EDOC
Tomohiro Inoue, Aneesh Krishna, Raj P. Gopalan
2015 C conf
Quantitative Reasoning of Goal Satisfaction in the i*Framework.
SEKE
Chitra M. Subramanian, Aneesh Krishna, Arshinder Kaur, Raj P. Gopalan
2015 J jnl
Rule-based analysis for detecting epistasis using associative classification mining.
Netw. Model. Anal. Health Informatics Bioinform.
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2014 C conf
An Associative Classification Based Approach for Detecting SNP-SNP Interactions in High Dimensional Genome.
BIBE
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2014 J jnl
Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification.
Aust. J. Intell. Inf. Process. Syst.
Suneetha Uppu, Aneesh Krishna, Raj P. Gopalan
2014 — conf
Duplicate Bug Report Detection Using Clustering.
Australian Software Engineering Conference
Raj P. Gopalan, Aneesh Krishna
2013 — conf
Estimating Sufficient Sample Sizes for Approximate Decision Support Queries.
ICEIS
Amit Rudra, Raj P. Gopalan, N. R. Achuthan
2013 — conf
Selecting Adequate Samples for Approximate Decision Support Queries.
ICEIS (1)
Amit Rudra, Raj P. Gopalan, N. R. Achuthan
2012 — conf
An Efficient Sampling Scheme for Approximate Processing of Decision Support Queries.
ICEIS (1)
Amit Rudra, Raj P. Gopalan, Narasimaha Achuthan
2008 B conf
Efficient Mining of High Utility Itemsets from Large Datasets.
PAKDD
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
2007 — conf
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets.
AIDM
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
2007 C conf
CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach.
CIT
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
2006 — conf
Clustering Transactional Data Streams.
Australian Conference on Artificial Intelligence
Yanrong Li, Raj P. Gopalan
2006 Misc conf
Clustering high dimensional sparse transactional data with constraints.
GrC
Yanrong Li, Raj P. Gopalan
2006 — ch.
Mining Value-Based Item Packages - An Integer Programming Approach.
Selected Papers from AusDM
N. R. Achuthan, Raj P. Gopalan, Amit Rudra
2005 Misc conf
Stratified Sampling for Association Rules Mining.
AIAI
Yanrong Li, Raj P. Gopalan
2004 — conf
Building a More Accurate Classifier Based on Strong Frequent Patterns.
Australian Conference on Artificial Intelligence
Yudho Giri Sucahyo, Raj P. Gopalan
2004 — conf
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure.
FIMI
Yudho Giri Sucahyo, Raj P. Gopalan
2004 — conf
Effective Sampling for Mining Association Rules.
Australian Conference on Artificial Intelligence
Yanrong Li, Raj P. Gopalan
2003 Misc conf
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth.
ADC
Yudho Giri Sucahyo, Raj P. Gopalan
2003 C conf
Efficient Mining of Long Frequent Patterns from Very Large Dense Datasets.
HIS
Raj P. Gopalan, Yudho Giri Sucahyo
2003 — conf
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers.
Australian Conference on Artificial Intelligence
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
2003 — conf
Fast Frequent Itemset Mining using Compressed Data Representation.
Applied Informatics
Raj P. Gopalan, Yudho Giri Sucahyo
2003 C conf
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design.
IDEAL
Raj P. Gopalan, Yudho Giri Sucahyo
2003 — conf
Retrieval characteristics of an untrained holographic index for image databases.
ICIP (2)
Raj P. Gopalan, Yohanes Hendra
2002 — conf
Algebraic specification of association rule queries.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo
2002 Misc conf
Building A Data Mining Query Optimizer.
AusDM
Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo
2002 — conf
ITL-MINE: Mining Frequent Itemsets More Efficiently.
FSKD
Raj P. Gopalan, Yudho Giri Sucahyo
2002 — conf
Indexing of Image Databases Using Untrained 4D Holographic Memory Model.
Australian Joint Conference on Artificial Intelligence
Raj P. Gopalan, Grant Lee
2002 — conf
TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection, and Prefix Tree.
Australian Joint Conference on Artificial Intelligence
Raj P. Gopalan, Yudho Giri Sucahyo
2001 J jnl
A Seamless Integration of Association Rule Mining with Database Systems
CoRR
Raj P. Gopalan, Tariq Nuruddin, Yudho Giri Sucahyo
2000 — conf
Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues.
SAC (2)
Amit Rudra, Raj P. Gopalan